Jin Pan

695 citations
36 papers · 493 · h-index 14

Impact in

Papers in

Jin Pan

33 papers receiving 484 citations

Peers

Jin Pan
Comparison fields: 5 of 98
  • Endocrinology, Diabetes and Metabolism 142
  • Cardiology and Cardiovascular Medicine 88
  • Public Health, Environmental and Occupational Health 111
  • Cancer Research 56
  • Health 25
Replace Annette Wong with:
Annette Wong Australia
Jian Su China
Lesley Tinker United States
See Kwok United Kingdom
Claire L. Le Guen United States
Laura Rosana Aballay Argentina
Hsin Chieh Yeh United States
Zsigmond Kósa Hungary
Ewerton Cousin Brazil
Aurora Franco Mexico
Jin Pan relative to Annette Wong Australia Annette Wong's profile →
Citations per field
00.5×1.5×
Annette Wong · 1×
Citations per year

Countries citing papers authored by Jin Pan

Since Specialization
Citations

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

Fields of papers citing papers by Jin Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jin Pan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jin Pan Line = papers co-authored together Jin Pan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201369
2 201556
3 201938
4 201638
5 201434
6 201727
7 201921
8 202020
9 201917
10 201115
11 201014
12 201713
13 201913
14 201513
15 201612
16 202012
17 202111
18 201911
19 201910
20 20148

About Jin Pan

Jin Pan is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Epidemiology, Cardiology and Cardiovascular Medicine and Oncology, having authored 36 papers that have together received 493 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers), Cardiovascular Health and Risk Factors (5 papers), Metabolism, Diabetes, and Cancer (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Obesity, Physical Activity, Diet (3 papers), Diabetes Management and Research (2 papers), Cancer, Lipids, and Metabolism (2 papers) and Diabetes and associated disorders (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (142 citations), Cardiology and Cardiovascular Medicine (88 citations), Public Health, Environmental and Occupational Health (111 citations), Cancer Research (56 citations) and Health (25 citations). Jin Pan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Weiwei Gong, Min Yu, Jieming Zhong, Ruying Hu, Ruying Hu, Qingfang He, Hao Wang, Haibin Wu, Lixin Wang and Zhen Ye. Their work appears in journals such as PLoS ONE, Journal of Diabetes Investigation, Frontiers in Public Health, Journal of Clinical Laboratory Analysis and Journal of Epidemiology & Community Health.

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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