| Literature DB >> 36062132 |
Xiaodu Xie1, Pan Lei1, Lumiao Liu2, Jian Hu1, Peihe Liang1.
Abstract
Background: The outbreak of coronavirus disease 2019 (COVID-19) has brought indelible harms to the world and aroused great concern worldwide. This paper aims to analyze the impact of COVID-19 on sexual function using bibliometrics, and summarize research hotspots in this field.Entities:
Keywords: COVID-19; Web of Science; bibliometrics; hotspots; sexual function
Mesh:
Year: 2022 PMID: 36062132 PMCID: PMC9437338 DOI: 10.3389/fpubh.2022.976582
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Figure 1Flowchart of the search strategy and screening process. (A) Retrieval strategy. (B) Screening process. *, Truncation operator; #, connection character.
Figure 2Contributions of different countries and regions to publications. (A) Geographic map of research countries and regions. (B) Histogram of top 10 countries in terms of the number of documents. (C) Cooperation network visualization between countries and regions. (D) Density map of countries and regions.
Figure 3Contributions of different institutions to publications. (A) Cooperation network visualization between institutions. The size of the node indicates the number of publications and different colors represent different clusters. (B) Density map of institutions.
Top 15 institutions in terms of the number of publications.
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| 1 | University of Toronto, Canada | 30 | 61 |
| 2 | Columbia University, USA | 22 | 186 |
| 3 | University of Michigan, USA | 22 | 99 |
| 4 | University of British Columbia, Canada | 21 | 56 |
| 5 | University of São Paulo, Brazil | 20 | 112 |
| 6 | University of Melbourne, Australia | 18 | 182 |
| 7 | University of North Carolina, USA | 17 | 70 |
| 8 | Monash University, Australia | 16 | 188 |
| 9 | University of Miami, USA | 16 | 91 |
| 10 | Johns Hopkins University, USA | 15 | 235 |
| 11 | London Sch Hyg & Trop Med, UK | 15 | 40 |
| 12 | Harvard Medical School, USA | 13 | 169 |
| 13 | Indiana University, USA | 13 | 143 |
| 14 | University College London, UK | 13 | 126 |
| 15 | University of California, San Francisco, USA | 13 | 61 |
Figure 4Visualization map of research authors. (A) Cooperation network visualization of authors. (B) Overlay visualization map based on the weights of documents.
Top 10 authors ranked by article counts.
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| 1 | Chow, Eric | Australia | Monash University | 8 | 93 | 37 |
| 2 | Ong, Jason J. | Australia | University of Melbourne | 8 | 62 | 10 |
| 3 | Stephenson, Rob | USA | University of Michigan | 8 | 62 | 31 |
| 4 | Maher, Lisa | Australia | University of New South Wales Sydney | 6 | 72 | 42 |
| 5 | Grace, Daniel | Canada | University of Toronto | 6 | 5 | 12 |
| 6 | Fairley, Christopher K. | Australia | University of Melbourne | 6 | 40 | 66 |
| 7 | Hocking, Jane S. | Australia | University of Melbourne | 6 | 91 | 46 |
| 8 | Fish, Jessica N. | USA | University of Maryland | 6 | 99 | 18 |
| 9 | Ramasamy, Ranjith | USA | University of Miami | 6 | 40 | 29 |
| 10 | Bourne, Adam | Australia | La Trobe University | 5 | 55 | 20 |
Figure 5Visualization map of journals. (A) Co-citation network of journals based on reference sources. (B) Cross-citation analysis of journals. (C) Pie chart of top 15 journals that published the largest number of documents.
Top 15 journals ranked by the number of publications.
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| 1 | International Journal of Environmental Research and Public Health | 31 | 4.614 | Q2 | 112 |
| 2 | Archives of Sexual Behavior | 20 | 4.891 | Q1 | 29 |
| 3 | Sexual Medicine | 19 | 2.523 | Q3 | 62 |
| 4 | Sexually Transmitted Diseases | 17 | 3.868 | Q3 | 93 |
| 5 | Aids Behavior | 16 | 4.852 | Q1 | 333 |
| 6 | BMJ Open | 16 | 3.006 | Q2 | 42 |
| 7 | PLoS ONE | 16 | 3.752 | Q2 | 108 |
| 8 | Journal of Sexual Medicine | 15 | 3.937 | Q2 | 289 |
| 9 | Sexually Transmitted Infections | 15 | 4.199 | Q3 | 94 |
| 10 | Journal Interpersonal Violence | 15 | 2.621 | Q2 | 41 |
| 11 | Sexologies | 14 | NA | NA | 40 |
| 12 | Frontiers in Psychology | 13 | 4.232 | Q1 | 106 |
| 13 | BMC Public Health | 13 | 4.135 | Q2 | 15 |
| 14 | Psychology of Sexual Orientation and Gender Diversity | 10 | 4.617 | Q1 | 40 |
| 15 | Frontiers in Public Health | 10 | 6.461 | Q1 | 8 |
NA, not applicable.
Figure 6Network visualization map of cited references. (A) Co-citation network of references. (B) Cluster analysis of references. (C) Top 20 references with the strongest citation bursts. ***, Ellipsis.
Top 10 studies ranked by the total citations.
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| 1 | Characterizing the Impact of COVID-19 on Men Who Have Sex with Men Across the United States in April, 2020 | Travis H. Sanchez | Aids and Behavior | 2020 | 4.852 | 98 |
| 2 | The psychological impact of quarantine and how to reduce it: rapid review of the evidence | Samantha K Brooks | Lancet | 2020 | 202.731 | 81 |
| 3 | Effect of the COVID-19 pandemic on female sexual behavior | Bahar Yuksel | International Journal of Gynecology & Obstetrics | 2020 | 4.447 | 75 |
| 4 | Less Sex, but More Sexual Diversity: Changes in Sexual Behavior during the COVID-19 Coronavirus Pandemic | Justin J. Lehmiller | Leisure Sciences | 2020 | 5.008 | 61 |
| 5 | Challenges in the Practice of Sexual Medicine in the Time of COVID-19 in the United Kingdom | Lee Smith | Journal of Sexual Medicine | 2020 | 3.937 | 60 |
| 6 | Challenges in the Practice of Sexual Medicine in the Time of COVID-19 in China | Sen Yang | Journal of Sexual Medicine | 2020 | 3.937 | 58 |
| 7 | No evidence of severe acute respiratory syndrome-coronavirus 2 in semen of males recovering from coronavirus disease 2019 | James M. Hotaling | Fertility and Sterility | 2020 | 7.49 | 48 |
| 8 | Impact of the COVID-19 Pandemic on Partner Relationships and Sexual and Reproductive Health: Cross-Sectional, Online Survey Study | Yunxia Cao | Journal of Medical Internet Research | 2020 | 7.076 | 48 |
| 9 | SARS-CoV-2 Cell Entry Depends on ACE2 and TMPRSS2 and Is Blocked by a Clinically Proven Protease Inhibitor | Markus Hoffmann | Cell | 2020 | 66.85 | 45 |
| 10 | scRNA-seq Profiling of Human Testes Reveals the Presence of the ACE2 Receptor, A Target for SARS-CoV-2 Infection in Spermatogonia, Leydig and Sertoli Cells | Xiaojiang Xu | Cells | 2020 | 7.666 | 41 |
Top 10 cited references by the highest centrality.
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| 1 | Impact of sex and gender on COVID-19 outcomes in Europe | Catherine Gebhard | Biology of Sex Differences | 2020 | 8.811 | 0.25 |
| 2 | Characterizing the Impact of COVID-19 on Men Who Have Sex with Men Across the United States in April, 2020 | Travis H. Sanchez | AIDS and Behavior | 2020 | 4.852 | 0.21 |
| 3 | Multidisciplinary research priorities for the COVID-19 pandemic: a call for action for mental health science | Emily A Holmes | Lancet Psychiatry | 2020 | 77.056 | 0.18 |
| 4 | Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study | Fei Zhou | Lancet | 2020 | 202.731 | 0.16 |
| 5 | Epidemic of COVID-19 in China and associated Psychological Problems | Md Zahir Ahmed | Asian Journal of Psychiatry | 2020 | 13.89 | 0.15 |
| 6 | Genomic characterization and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding | Roujian Lu | Lancet | 2020 | 202.731 | 0.14 |
| 7 | Prevalence and predictors of PTSS during COVID-19 Outbreak in China Hardest-hit Areas: Gender differences matter | Weizhi Liu | Psychiatry Research | 2020 | 11.225 | 0.13 |
| 8 | Sex in the Time of COVID-19: Results of an Online Survey of Gay, Bisexual and Other Men Who Have Sex with Men's Experience of Sex and HIV Prevention During the US COVID-19 Epidemic | Rob Stephenson | AIDS and Behavior | 2021 | 4.852 | 0.12 |
| 9 | Economic, Mental Health, HIV Prevention and HIV Treatment Impacts of COVID-19 and the COVID-19 Response on a Global Sample of Cisgender Gay Men and Other Men Who Have Sex with Men | Glenn-Milo Santos | AIDS and Behavior | 2021 | 4.852 | 0.12 |
| 10 | Contrasting the Perceived Severity of COVID-19 and HIV Infection in an Online Survey of Gay, Bisexual, and Other Men Who Have Sex With Men During the U.S. COVID-19 Epidemic | Rob Stephenson | American Journal of Mens Health | 2020 | 2.403 | 0.11 |
Figure 7Visualization map of keywords in studies. (A) Co-occurrence network of keywords. (B) Overlay visualization map based on the occurrences of keywords. (C) Cluster analysis of keywords. Different patterns represent a cluster. (D) Timeline cluster map of keywords from January 1, 2020, to March 12, 2022. (E) Top 25 keywords with the strongest citation bursts.
Top 10 keywords by the occurrences and centrality.
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| 1 | 603 | COVID-19 | 1 | 0.35 | Depressive symptom |
| 2 | 90 | SARS-CoV-2 | 2 | 0.3 | Infectious disease |
| 3 | 80 | Pandemic | 3 | 0.28 | Expression |
| 4 | 72 | Mental health | 4 | 0.26 | Sample |
| 5 | 61 | Coronavirus | 5 | 0.25 | Dysfunction |
| 6 | 58 | Sexual health | 6 | 0.22 | Erectile dysfunction |
| 7 | 57 | HIV | 7 | 0.22 | Public health |
| 8 | 34 | Depression | 8 | 0.18 | Lesbian |
| 9 | 34 | Domestic violence | 9 | 0.16 | Sexual dysfunction |
| 10 | 31 | Sexual behavior | 10 | 0.15 | HIV risk |