Weiming Yan

7.3k citations
112 papers · 2.2k · h-index 26

Impact in

  • Hepatology top 2%
    • Hepatitis C virus research
    • Liver Disease and Transplantation
  • Immunology top 5%
    • Immune Cell Function and Interaction

Papers in

Weiming Yan

102 papers receiving 2.2k citations

Peers

Weiming Yan
Comparison fields: 5 of 118
  • Hepatology 449
  • Immunology 492
  • Pharmacology 179
  • Epidemiology 680
  • Biochemistry 107
Replace Ronit Shiri‐Sverdlov with:
Ronit Shiri‐Sverdlov Netherlands
Munechika Enjoji Japan
Shunhei Yamashina Japan
Gösta Eggertsen Sweden
Wolfgang Drobnik Germany
Zongfang Li China
Masakazu Kobayashi Japan
Motoyuki Kohjima Japan
François Tercé France
Weiming Yan relative to Ronit Shiri‐Sverdlov Netherlands Ronit Shiri‐Sverdlov's profile →
Citations per field
00.5×1.5×2.3×
Ronit Shiri‐Sverdlov · 1×
Citations per year

Countries citing papers authored by Weiming Yan

Since Specialization
Citations

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

Fields of papers citing papers by Weiming Yan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Weiming Yan, 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 Weiming Yan Line = papers co-authored together Weiming Yan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 112 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010231
2 2020129
3 2001127
4 2017125
5 2009107
6 202081
7 200165
8 201563
9 200558
10 202256
11 201853
12 200846
13 200844
14 200543
15 201639
16 202037
17 200635
18 201934
19 201834
20 201032

About Weiming Yan

Weiming Yan is a scholar working on Epidemiology, Molecular Biology, Immunology, Hepatology and Surgery, having authored 112 papers that have together received 2.2k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (30 papers), Liver Disease Diagnosis and Treatment (21 papers), Hepatitis C virus research (19 papers), Immune Cell Function and Interaction (15 papers), Retinal Diseases and Treatments (12 papers), Animal Virus Infections Studies (11 papers), Retinal Development and Disorders (11 papers) and Diabetes and associated disorders (7 papers). The work is most often cited by research in Hepatology (449 citations), Immunology (492 citations), Pharmacology (179 citations), Epidemiology (680 citations) and Biochemistry (107 citations). Weiming Yan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Qin Ning, Meifang Han, Xiaoping Luo, Zeguang Wu, Tao Chen, Xiaojing Wang, Hongwu Wang, Di Wu, Xi Dong and Chengying Yang. Their work appears in journals such as Scientific Reports, Journal of Hepatology, Hepatology International, International Immunopharmacology and Human Gene Therapy.

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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