Pengfei Jin

779 citations
32 papers · 344 indexed · h-index 10
Topics
SARS-CoV-2 and COVID-19 Research (12 papers)Viral gastroenteritis research and epidemiology (7 papers)Vaccine Coverage and Hesitancy (6 papers)

In The Last Decade

Pengfei Jin

29 papers receiving 341 citations

Peers

Pengfei Jin
Comparison fields: 5 of 58
  • Infectious Diseases 185
  • Molecular Biology 74
  • Cardiology and Cardiovascular Medicine 60
  • Surgery 58
  • Health 57
Replace Laura Tarancón‐Díez with:
Laura Tarancón‐Díez Spain
Steve Anderson United States
Louise Benning Germany
John R. Ngowi Tanzania
Sadaf Aslam United States
Johannes Ptok Germany
Lara Walotka Germany
Franziska Hielscher Germany
David Daghfal United States
Stefanie Marx Germany
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Citations per field
00.5×8.1×
Laura Tarancón‐Díez · 1×
Citations per year

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

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 2
4 6
5 2
6 1
7 1
8 1
9 3
10 1
11 4
12 23
13 52
14 0
15
Short- and long-term outcomes of laparoscopic complete mesocolic excision for colon cancer in the elderly: A retrospective cohort study.
2
16 14
17 10
18 18
19
[Immunological surrogate endpoints to evaluate vaccine efficacy].
2
20 47

About Pengfei Jin

Pengfei Jin is a scholar working on Infectious Diseases, Health and Cardiology and Cardiovascular Medicine, having authored 32 papers that have together received 344 indexed citations. Recurring topics across this 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). The work is most often cited by research in Infectious Diseases (185 citations), Health (57 citations) and Agronomy and Crop Science (28 citations). Pengfei Jin has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Fengcai Zhu, Jingxin Li, Hongxing Pan, Yan‐Jun Liu, Ruijuan Wang, Yanfei Wu, Weijun Wang, Yang Zhou, Zhitao Li and Yuxiao Wang. Their work appears in journals such as Clinical Infectious Diseases, International Journal of Molecular Sciences and PLoS Medicine.

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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