| Literature DB >> 35273971 |
Xueping Qi1,2,3, Peidong Liu1, Yanjie Wang2,3, Jinmei Xue2,3, Yunfang An2,3, Changqing Zhao2,3.
Abstract
Neuromedin U (NMU) is a regulatory peptide that is widely distributed throughout the body and performs a variety of physiological functions through its corresponding receptors. In recent years, NMU has become the focus of attention in various fields of research as its diverse and essential functions have gradually been elucidated. However, there have been no bibliometrics studies on the development trend and knowledge structure of NMU research. Therefore, in this study, we used VOSviewer software to statistically analyze scientific data from articles related to NMU to track the developmental footprint of this research field, including relevant countries, institutions, authors, and keywords. We retrieved a total of 338 papers related to NMU, written by 1,661 authors from 438 organizations of 41 countries that were published in 332 journals. The first study on NMU was reported by a group in Japan in 1985. Subsequently, nine articles on NMU were published from 1987 to 2006. A small leap in this field could be detected in 2009, with 30 articles published worldwide. Among the various countries in which this research has been performed, Japan and the United States have made the most outstanding contributions. Miyazato M, Kangawa K, and Mori K from the Department of Biochemistry, National Retrain and Cardiovascular Center Research Institute in Japan were the most productive authors who have the highest number of citations. Keyword analysis showed six clusters: central-nervous-system, homeostasis, energy metabolism, cancer, immune inflammation, and food intake. The three most highly cited articles were associated with inflammation. Overall, this study demonstrates the research trends and future directions of NMU, providing an objective description of the contributions in this field along with reference value for future research.Entities:
Keywords: H-index; Neuromedin U; bibliometric analysis; research status; visual analysis
Year: 2022 PMID: 35273971 PMCID: PMC8901607 DOI: 10.3389/fmed.2022.773000
Source DB: PubMed Journal: Front Med (Lausanne) ISSN: 2296-858X
Figure 1Distribution map of NMU expression in multiple organs and tissues of the human body.
The number of different types of articles in the NMU research from 1987 to 2021.
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| 1 | ARTICLE | 242 | 71.59 |
| 2 | REVIEW | 49 | 14.49 |
| 3 | MEETING ABSTRACT | 34 | 10.06 |
| 4 | EDITORIAL MATERIAL | 9 | 2.63 |
| 5 | BOOK CHAPTER | 4 | 1.18 |
| 6 | CORRECTION | 2 | 0.59 |
| 7 | CONFERENCE PROCEEDINGS | 2 | 0.59 |
| 8 | PUBLISH ONLINE | 1 | 0.29 |
| 9 | NEWS ITEM | 1 | 0.29 |
| 10 | LETTER | 1 | 0.29 |
Figure 2NMU publication volume over the years and the model fitting curves to predict future NMU global growth trends.
The list of top 10 countries contributed to the publications on NMU researches from 1987 to 2021.
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| 1 | USA | 87 | 2,149 | 27 |
| 2 | JAPAN | 80 | 777 | 15 |
| 3 | PEOPLES R CHINA | 48 | 454 | 9 |
| 4 | ENGLAND | 23 | 665 | 13 |
| 5 | BELGIUM | 18 | 140 | 8 |
| 6 | POLAND | 18 | 119 | 8 |
| 7 | GERMANY | 17 | 552 | 9 |
| 8 | ITALY | 16 | 61 | 4 |
| 9 | DENMARK | 13 | 422 | 7 |
| 10 | SWEDEN | 11 | 108 | 6 |
Figure 3The annual amount of publications on NMU researches from the top three countries from 2009 to 2021.
The list of top 10 Institutions contributed to the publications on NMU researches from 1987 to 2021.
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| 1 | Natl Cerebral and Cardiovasc Ctr Res Inst | Japan | 24 | 7.10 |
| 2 | Miyazaki University | Japan | 20 | 5.92 |
| 3 | University of Texas Medical Branch | USA | 12 | 3.55 |
| 4 | University of Texas System | USA | 12 | 3.55 |
| 5 | Tokyo University of Pharmacy and Life Sciences | Japan | 10 | 2.96 |
| 6 | University of California | USA | 9 | 2.66 |
| 7 | University of Gothenburg | Sweden | 9 | 2.66 |
| 8 | Cornell University | USA | 8 | 2.37 |
| 9 | Hokuriku University | Japan | 8 | 2.37 |
| 10 | University of Dublin | Ireland | 8 | 2.37 |
Figure 4The top 10 Journals contributed to the highest volume of the publications on NMU researches from 1987 to 2021.
The list of highly-cited papers on NMU in the Web of Science database from 1987 to 2021.
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| 1 | • Wallrapp A • Riesenfeld SJ • Burkett PR | The neuropeptide NMU amplifies ILC2-driven allergic lung inflammation | Nature | 2017 | 277 |
| 2 | • Cardoso V • Chesne J • Ribeiro H | Neuronal regulation of type 2 innate lymphoid cells via Neuromedin U | Nature | 2017 | 251 |
| 3 | • Klose, CSN • Mahlakoiv T • Moeller JB | The neuropeptide Neuromedin U stimulates innate lymphoid cells and type 2 inflammation | Nature | 2017 | 245 |
The top 10 authors contributed to the publications on NMU researches from 1987 to 2021.
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| 1 | Miyazato M | 23 | 6.81 | 8 |
| 2 | Kangawa K | 19 | 5.62 | 7 |
| 3 | Mori K | 19 | 5.62 | 7 |
| 4 | Hommel JD | 11 | 3.25 | 6 |
| 5 | Murakami N | 11 | 3.25 | 6 |
| 6 | Takayama K | 11 | 3.25 | 6 |
| 7 | Nakahara K | 10 | 2.96 | 5 |
| 8 | Maruyama K | 10 | 2.96 | 5 |
| 9 | Hayashi Y | 9 | 2.96 | 5 |
| 10 | O'driscoll L | 9 | 2.96 | 5 |
Figure 5Document coupling analysis. The volume of the circle reflects the number of literatures, and the color represents the clustering. The larger the circle represents the higher frequency of occurrence. Smaller distance between two circles means more co-occurrence. The greater the density of lines between circles, the stronger the correlation. (A) Author coupling analysis; (B) organization coupling analysis; (C) country coupling analysis.
Figure 6The analysis of keywords in NMU research. The keywords were classified into six clusters and were depicted in different colors (“central-nervous system,” in yellow; “homeostasis,” in red; “energy metabolism,” in blue; “cancer,” in purple; “immune-inflammatory,” in fluorescent blue, and “food intake,” in green).