Fun-In Wang

69 papers receiving 1.2k citations

Peers

Fun-In Wang
Comparison fields: 5 of 90
  • Animal Science and Zoology 476
  • Agronomy and Crop Science 368
  • Infectious Diseases 536
  • Ecology, Evolution, Behavior and Systematics 279
  • Microbiology 77
Replace In‐Soo Cho with:
In‐Soo Cho South Korea
Stéphane Pronost France
David Steffen United States
Carlos Ros Switzerland
Ángel Ezquerra Spain
M.J. Bautista Spain
B. Klingeborn Sweden
M. König Germany
Chak‐Sum Ho United States
Falko Steinbach United Kingdom
Fun-In Wang relative to In‐Soo Cho South Korea In‐Soo Cho's profile →
Citations per field
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In‐Soo Cho · 1×
Citations per year

Countries citing papers authored by Fun-In Wang

Since Specialization
Citations

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

Fields of papers citing papers by Fun-In Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fun-In Wang. 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 Fun-In Wang. The network helps show where Fun-In Wang may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 72 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990135
2
Sequential infection of glial cells by the murine hepatitis virus JHM strain (MHV-4) leads to a characteristic distribution of demyelination.
199276
3 201375
4 199568
5 199262
6 200145
7 201543
8
Interaction of immune and central nervous systems: contribution of anti-viral Thy-1+ cells to demyelination induced by coronavirus JHM.
199341
9 200340
10 200538
11 200137
12 201034
13 200733
14 201232
15 199228
16 201025
17 201023
18 199523
19 201223
20 200921

About Fun-In Wang

Fun-In Wang is a scholar working on Infectious Diseases, Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics, Animal Science and Zoology and Cardiology and Cardiovascular Medicine, having authored 72 papers that have together received 1.3k indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (24 papers), Animal Virus Infections Studies (21 papers), Vector-Borne Animal Diseases (21 papers), Viral Infections and Immunology Research (15 papers), Viral gastroenteritis research and epidemiology (15 papers), Virus-based gene therapy research (13 papers), Viral Infections and Vectors (11 papers) and Veterinary Oncology Research (10 papers). The work is most often cited by research in Animal Science and Zoology (476 citations), Agronomy and Crop Science (368 citations), Infectious Diseases (536 citations), Ecology, Evolution, Behavior and Systematics (279 citations) and Microbiology (77 citations). Fun-In Wang has collaborated with scholars based in Taiwan, United States and Germany. Frequent co-authors include John O. Fleming, Stephen A. Stohlman, Chia‐Yi Chang, Chin‐Cheng Huang, Ming‐Chung Deng, Victor Fei Pang, David R. Hinton, J. O. Fleming, Melvin D. Trousdale and Edwin C. Hahn. Their work appears in journals such as Journal of Veterinary Diagnostic Investigation, Virus Research, Veterinary Microbiology, Viruses and Advances in experimental medicine and biology.

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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