Mei Chao

2.1k citations
40 papers · 1.7k indexed · h-index 18
  • Hepatology top 0.5%
    • Hepatitis C virus research 27
    • Hepatitis Viruses Studies and Epidemiology 5
    • Hepatitis B Virus Studies 27
    • Liver Disease Diagnosis and Treatment 3
  • Virology top 5%
    • HIV Research and Treatment 2
    • Viral gastroenteritis research and epidemiology 16
    • Animal Virus Infections Studies 2
    • Viral-associated cancers and disorders 3

Mei Chao

39 papers receiving 1.7k citations

Peers

Mei Chao
Comparison fields: 5 of 79
  • Hepatology 1.1k
  • Epidemiology 1.3k
  • Virology 134
  • Infectious Diseases 463
  • Animal Science and Zoology 103
Replace Michael J. McGarvey with:
Michael J. McGarvey United Kingdom
Tatsunori Nakano Japan
Peter Friebe Germany
Yonghe Qi China
Kristina Faulk United States
Shuping Tong United States
Agata Budkowska France
George Koutsoudakis Germany
Julie Lucifora France
Robert W. King United States
Mei Chao relative to Michael J. McGarvey United Kingdom Michael J. McGarvey's profile →
Citations per field
00.5×2.9×
Michael J. McGarvey · 1×
Citations per year

Countries citing papers authored by Mei Chao

Since Specialization
Citations

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

Fields of papers citing papers by Mei Chao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20233
3 20231
4 20193
5 201913
6 201913
7 201440
8 201411
9 201414
10 201356
11 200915
12 200719
13 20068
14 200538
15 200316
16 200319
17 200110
18 199861
19 199333
20 19919

About Mei Chao

Mei Chao is a scholar working on Hepatology, Infectious Diseases and Epidemiology, having authored 40 papers that have together received 1.7k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (27 papers), Hepatitis C virus research (27 papers), Viral gastroenteritis research and epidemiology (16 papers), Hepatitis Viruses Studies and Epidemiology (5 papers), Liver Disease Diagnosis and Treatment (3 papers), Viral-associated cancers and disorders (3 papers), HIV Research and Treatment (2 papers) and Animal Virus Infections Studies (2 papers). The work is most often cited by research in Hepatology (1.1k citations), Epidemiology (1.3k citations) and Virology (134 citations). Mei Chao has collaborated with scholars based in Taiwan, United States and Australia. Frequent co-authors include John M. Taylor, Sen‐Yung Hsieh, Mark Yen‐Ping Kuo, Camille Sureau, Kazuko Nishikura, Laura C. Coates, Kevin L. McKnight, M M Lai, Yu‐Sun Chang and Chau‐Ting Yeh. Their work appears in journals such as Oncogene, Journal of Virology and Biochemical and Biophysical Research Communications.

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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