Min Wu

4.8k citations
63 papers · 2.5k indexed · 2 hit papers · h-index 23

Impact in

Papers in

    • Hepatitis C virus research 31
    • Hepatitis Viruses Studies and Epidemiology 5
    • Hepatitis B Virus Studies 44
    • Liver Disease Diagnosis and Treatment 12

Min Wu

55 papers receiving 2.5k citations

Hit Papers

Antibody responses to the BNT162b2 mRNA vaccine in individuals previously infected with SARS-CoV-2 2021 · 343 citations
3432013202620172021100200300400

Peers

Min Wu
Comparison fields: 5 of 108
  • Hepatology 783
  • Infectious Diseases 825
  • Epidemiology 1.2k
  • Virology 112
  • Immunology 485
Replace Jieliang Chen with:
Jieliang Chen China
Anthony T. Tan Singapore
Orna Mor Israel
Adam J. Gehring Canada
Nina Le Bert Singapore
Masanori Isogawa Japan
Gianpiero D’Offizi Italy
Margaret Chen Sweden
Adeline Chia Singapore
Huan Yan China
Min Wu relative to Jieliang Chen China Jieliang Chen's profile →
Citations per field
00.5×1.5×
Jieliang Chen · 1×
Citations per year

Countries citing papers authored by Min Wu

Since Specialization
Citations

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

Fields of papers citing papers by Min Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20251
3 20250
4 20241
5 20241
6 20240
7 20223
8
Antibody responses to the BNT162b2 mRNA vaccine in individuals previously infected with SARS-CoV-2
Hit paper breakdown →
2021343
9 202115
10 202112
11 202017
12 2020154
13 202014
14 202034
15 20206
16 201717
17 201517
18 2013135
19 20106
20 200926

About Min Wu

Min Wu is a scholar working on Hepatology, Epidemiology, Virology, Infectious Diseases and Animal Science and Zoology, having authored 63 papers that have together received 2.5k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (44 papers), Hepatitis C virus research (31 papers), Liver Disease Diagnosis and Treatment (12 papers), COVID-19 Clinical Research Studies (5 papers), Hepatitis Viruses Studies and Epidemiology (5 papers), HIV Research and Treatment (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and RNA Interference and Gene Delivery (4 papers). The work is most often cited by research in Hepatology (783 citations), Infectious Diseases (825 citations), Epidemiology (1.2k citations), Virology (112 citations) and Immunology (485 citations). Min Wu has collaborated with scholars based in China, Australia and United States. Frequent co-authors include Zhenghong Yuan, Jieliang Chen, Xiaonan Zhang, Jianhua Li, Jiangxia Liu, Xiaohui Zhou, Kuancheng Liu, Wen Zhang, Tingting Pan and Liu Yang. Their work appears in journals such as Scientific Reports, Journal of Hepatology, Hepatology, Journal of General Virology and Antiviral Research.

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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