Pengfei Jin

69 total papers · 762 total citations
32 papers, 335 citations indexed

About

Pengfei Jin is a scholar working on Infectious Diseases, Molecular Biology and Health. According to data from OpenAlex, Pengfei Jin has authored 32 papers receiving a total of 335 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Infectious Diseases, 6 papers in Molecular Biology and 6 papers in Health. Recurrent topics in Pengfei Jin's work include SARS-CoV-2 and COVID-19 Research (12 papers), Viral gastroenteritis research and epidemiology (7 papers) and Vaccine Coverage and Hesitancy (6 papers). Pengfei Jin is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (12 papers), Viral gastroenteritis research and epidemiology (7 papers) and Vaccine Coverage and Hesitancy (6 papers). Pengfei Jin collaborates with scholars based in China, United States and Taiwan. Pengfei Jin's co-authors include Fengcai Zhu, Jingxin Li, Hongxing Pan, Yan‐Jun Liu, Ruijuan Wang, Yanfei Wu, Yang Zhou, Zhitao Li, Weijun Wang and Yuxiao Wang and has published in prestigious journals such as Clinical Infectious Diseases, International Journal of Molecular Sciences and PLoS Medicine.

In The Last Decade

Pengfei Jin

28 papers receiving 332 citations

Author Peers

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

Author Last Decade Papers Cites
Pengfei Jin 181 70 58 57 57 32 335
Alwin de Jong 109 0.6× 70 1.0× 64 1.1× 24 0.4× 28 0.5× 21 383
Enrique A. Hernández-Bustamante 83 0.5× 128 1.8× 29 0.5× 43 0.8× 27 0.5× 33 398
Wenmei Huang 228 1.3× 103 1.5× 25 0.4× 51 0.9× 26 0.5× 17 351
Eitaro Suzuki 120 0.7× 28 0.4× 30 0.5× 21 0.4× 32 0.6× 41 361
Louise Benning 224 1.2× 34 0.5× 45 0.8× 56 1.0× 18 0.3× 34 308
Zsuzsanna Molnár 94 0.5× 27 0.4× 22 0.4× 23 0.4× 26 0.5× 29 351
Héctor Alexander Velásquez García 133 0.7× 27 0.4× 27 0.5× 33 0.6× 30 0.5× 43 312
Arwa Qaqish 108 0.6× 47 0.7× 42 0.7× 11 0.2× 23 0.4× 20 295
G. Thomas 46 0.3× 64 0.9× 54 0.9× 25 0.4× 11 0.2× 18 295
Hong Cai 48 0.3× 108 1.5× 22 0.4× 33 0.6× 6 0.1× 21 331

Countries citing papers authored by Pengfei Jin

Since Specialization
Citations

This map shows the geographic impact of Pengfei 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 Pengfei Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pengfei Jin more than expected).

Fields of papers citing papers by Pengfei Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pengfei 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 Pengfei Jin. The network helps show where Pengfei Jin may publish in the future.

Co-authorship network of co-authors of Pengfei Jin

This figure shows the co-authorship network connecting the top 25 collaborators of Pengfei Jin. A scholar is included among the top collaborators of Pengfei 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 Pengfei Jin. Pengfei 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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