Chin‐Fen Yang

2.0k citations
21 papers · 1.5k · h-index 17

Impact in

    • Respiratory viral infections research
    • Influenza Virus Research Studies
    • Viral gastroenteritis research and epidemiology

Papers in

    • Respiratory viral infections research 14
    • Influenza Virus Research Studies 11
    • Immune Response and Inflammation 4

Chin‐Fen Yang

21 papers receiving 1.4k citations

Peers

Chin‐Fen Yang
Comparison fields: 5 of 75
  • Epidemiology 1.1k
  • Infectious Diseases 502
  • Immunology 304
  • Agronomy and Crop Science 135
  • Molecular Biology 337
Replace Gina M. Conenello with:
Gina M. Conenello United States
Emma R. Job Australia
Yuichiro Nakatsu Japan
Rebecca Frise United Kingdom
M. Ohuchi Japan
Sarah L. Noton United States
Carles Martínez‐Romero United States
M. Jaber Hossain United States
Louis M. Schwartzman United States
K. Nakajima Japan
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Citations per field
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Gina M. Conenello · 1×
Citations per year

Countries citing papers authored by Chin‐Fen Yang

Since Specialization
Citations

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

Fields of papers citing papers by Chin‐Fen Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chin‐Fen Yang. 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 Chin‐Fen Yang. The network helps show where Chin‐Fen Yang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999266
2 2006200
3 2003196
4 2002130
5 200488
6 201086
7 201184
8 200882
9 200971
10 200564
11 201245
12 201042
13 201339
14 200525
15 200321
16 200820
17 201318
18 201016
19 200512
20 20105

About Chin‐Fen Yang

Chin‐Fen Yang is a scholar working on Epidemiology, Immunology, Molecular Biology, Infectious Diseases and Agronomy and Crop Science, having authored 21 papers that have together received 1.5k indexed citations. Recurring topics across this work include Respiratory viral infections research (14 papers), Influenza Virus Research Studies (11 papers), Immune Response and Inflammation (4 papers), Viral gastroenteritis research and epidemiology (3 papers), Parvovirus B19 Infection Studies (2 papers), Escherichia coli research studies (2 papers), Animal Disease Management and Epidemiology (2 papers) and Heat shock proteins research (1 paper). The work is most often cited by research in Epidemiology (1.1k citations), Infectious Diseases (502 citations), Immunology (304 citations), Agronomy and Crop Science (135 citations) and Molecular Biology (337 citations). Chin‐Fen Yang has collaborated with scholars based in United States, Netherlands and Taiwan. Frequent co-authors include Vanitha Thulasiraman, Judith Frydman, George Kemble, Harry B. Greenberg, Hong Jin, Richard R. Spaete, John V. Williams, Erich Hoffmann, Kutubuddin Mahmood and James E. Crowe. Their work appears in journals such as The Journal of Infectious Diseases, Journal of Virology, Vaccine, Virology and The Science of The Total Environment.

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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