Meng Jin

127 total papers · 411 total citations
14 papers, 151 citations indexed

About

Meng Jin is a scholar working on Infectious Diseases, Molecular Biology and Neurology. According to data from OpenAlex, Meng Jin has authored 14 papers receiving a total of 151 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 3 papers in Molecular Biology and 3 papers in Neurology. Recurrent topics in Meng Jin's work include COVID-19 Clinical Research Studies (3 papers), Long-Term Effects of COVID-19 (3 papers) and RNA modifications and cancer (3 papers). Meng Jin is often cited by papers focused on COVID-19 Clinical Research Studies (3 papers), Long-Term Effects of COVID-19 (3 papers) and RNA modifications and cancer (3 papers). Meng Jin collaborates with scholars based in China and United States. Meng Jin's co-authors include Linda W. Jennings, Bo S. Husberg, Michael A. E. Ramsay, Robert M. Goldstein, Marlon F. Levy, H. A. Tillmann Hein, Thomas A. Gonwa, Jianbo Tian, Ke Hu and Xiaoping Miao and has published in prestigious journals such as The Journal of Immunology, American Journal of Clinical Nutrition and The Science of The Total Environment.

In The Last Decade

Meng Jin

13 papers receiving 145 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Meng Jin 41 33 27 26 21 14 151
Delphine Bachelet 25 0.6× 38 1.2× 47 1.7× 30 1.2× 88 4.2× 13 230
Raquel López-Reyes 27 0.7× 15 0.5× 12 0.4× 27 1.0× 22 1.0× 16 221
Kristin Veighey 56 1.4× 5 0.2× 24 0.9× 19 0.7× 11 0.5× 18 240
Mark Blunden 46 1.1× 11 0.3× 15 0.6× 11 0.4× 6 0.3× 13 192
Adam Romanovsky 48 1.2× 34 1.0× 3 0.1× 33 1.3× 8 0.4× 12 173
Kristin Ricci 19 0.5× 21 0.6× 28 1.0× 15 0.6× 13 0.6× 14 225
Matthew K. Hensley 30 0.7× 17 0.5× 23 0.9× 111 4.3× 22 1.0× 18 219
Thanh Tran 42 1.0× 51 1.5× 11 0.4× 71 2.7× 7 0.3× 18 195
Armando Vázquez-Rangel 34 0.8× 4 0.1× 25 0.9× 33 1.3× 13 0.6× 14 196
Yasuhide Kitazawa 136 3.3× 22 0.7× 18 0.7× 44 1.7× 14 0.7× 21 224

Countries citing papers authored by Meng Jin

Since Specialization
Citations

This map shows the geographic impact of Meng Jin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Meng Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Meng Jin more than expected).

Fields of papers citing papers by Meng Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Meng Jin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Meng Jin. The network helps show where Meng Jin may publish in the future.

Co-authorship network of co-authors of Meng Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Meng Jin. A scholar is included among the top collaborators of Meng Jin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Meng Jin. Meng Jin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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2026