| Literature DB >> 34703250 |
ZhaoHui Xu1,2, Hui Qu1,2, YanYing Ren1, ZeZhong Gong1,2, Hyok Ju Ri1,2,3, Fan Zhang1, XiaoLiang Chen1, WanJi Zhu1, Shuai Shao1, Xin Chen1.
Abstract
BACKGROUND: The coronavirus disease 2019 (COVID-19) pandemic is ravaging the world. To date, there are no standard therapies available to cure the disease. Consequently, research on COVID-19 vaccines is booming. This report aimed to assess the research trends of the global COVID-19 vaccines.Entities:
Keywords: COVID-19; bibliometric analysis; vaccines
Year: 2021 PMID: 34703250 PMCID: PMC8523363 DOI: 10.2147/IDR.S335745
Source DB: PubMed Journal: Infect Drug Resist ISSN: 1178-6973 Impact factor: 4.003
Figure 1The statistics on the COVID-19 pandemic for every country in the world from Our World in Data. (A) The cumulative confirmed COVID-19 cases in the world. (B) The cumulative confirmed COVID-19 deaths in the world. (C) The number of fully vaccinated individuals against COVID-19 (total number of people who have received all doses based on vaccination protocol). (D) Share of the fully vaccinated population against COVID-19.
Figure 2Bibliometric analysis of the COVID-19 publication. (A) Time trends summary. (B) Study type composition summary.
The Top Ten Most Active Countries, Organizations and Authors
| Subject | Records | Percentage (%) | TLCS | TGCS | TLS |
|---|---|---|---|---|---|
| USA | 1681 | 33.16 | 8567 | 20,481 | 21,715 |
| UK | 565 | 11.14 | 3678 | 7772 | 10,975 |
| Italy | 388 | 7.65 | 525 | 1594 | 5066 |
| Peoples R China | 383 | 7.55 | 1747 | 5560 | 7681 |
| India | 319 | 6.29 | 276 | 1723 | 3668 |
| Germany | 299 | 5.90 | 2203 | 4555 | 6753 |
| Canada | 249 | 4.91 | 667 | 1631 | 3677 |
| Australia | 179 | 3.53 | 531 | 1289 | 2874 |
| France | 177 | 3.49 | 278 | 723 | 2437 |
| Spain | 167 | 3.29 | 430 | 734 | 2343 |
| Univ Oxford | 111 | 2.19 | 1384 | 2880 | 2032 |
| Harvard Med Sch | 100 | 1.97 | 710 | 1433 | 1776 |
| Univ Washington | 80 | 1.58 | 81 | 532 | 1437 |
| London Sch Hyg & Trop Med | 76 | 1.50 | 77 | 897 | 1096 |
| Johns Hopkins Univ | 60 | 1.18 | 114 | 522 | 688 |
| Univ Penn | 60 | 1.18 | 151 | 414 | 794 |
| Tel Aviv Univ | 59 | 1.16 | 268 | 487 | 726 |
| Univ Toronto | 58 | 1.14 | 174 | 261 | 544 |
| Imperial Coll London | 57 | 1.12 | 427 | 971 | 1052 |
| Emory Univ | 56 | 1.10 | 1139 | 2028 | 1794 |
| Elisabeth Mahase | 57 | 1.12 | 0 | 253 | 49 |
| Gareth Iacobucci | 25 | 0.49 | 0 | 33 | 3 |
| Kuldeep Dhama | 21 | 0.41 | 72 | 301 | 157 |
| Owen Dyer | 17 | 0.34 | 0 | 26 | 4 |
| Lindsey Robert Baden | 16 | 0.32 | 520 | 834 | 0 |
| Peter Jay Hotez | 16 | 0.32 | 195 | 492 | 148 |
| Janice Hopkins Tanne | 15 | 0.30 | 0 | 22 | 8 |
| Jacqui Wise | 15 | 0.30 | 0 | 60 | 11 |
| Maria Elena Bottazzi | 14 | 0.28 | 203 | 460 | 139 |
| Eric J. Rubin | 14 | 0.28 | 9 | 17 | 1 |
Figure 3Bibliometric analysis of co-authorship. (A) Country. (B) Institution. (C) Author.
Figure 4Bibliometric analysis of keywords. (A) Cluster analysis. (B) Timing analysis.
Figure 5Bibliometric analysis of citations. (A and B) Countries. (C and D) Organizations. (E and F) Authors. (G and H) Journals. (B, D, F, and H) The top 10 most cited countries, institutions, authors, and journals, respectively.
Figure 6The citation historiography graph based on the studies with the top 100 TLCS.