I. C. Pan

27 papers receiving 333 citations

Peers

I. C. Pan
Comparison fields: 5 of 44
  • Agronomy and Crop Science 275
  • Ecology, Evolution, Behavior and Systematics 205
  • Cardiology and Cardiovascular Medicine 147
  • Animal Science and Zoology 64
  • Infectious Diseases 93
Replace Jacqueline L. Cavender with:
Jacqueline L. Cavender United States
J.T. Vantsis United Kingdom
S. S. Stone United States
G. Wellemans Belgium
Dale V. Onisk United States
P. Nettleton United Kingdom
M.M. Rweyemamu United Kingdom
Ann Nordengrahn Sweden
M.G.M. de Bruin Netherlands
L. Pullen United Kingdom
I. C. Pan relative to Jacqueline L. Cavender United States Jacqueline L. Cavender's profile →
Citations per field
00.5×1.5×1.8×
Jacqueline L. Cavender · 1×
Citations per year

Countries citing papers authored by I. C. Pan

Since Specialization
Citations

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

Fields of papers citing papers by I. C. Pan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I. C. Pan. 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 I. C. Pan. The network helps show where I. C. Pan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198452
2 198232
3 197029
4 198227
5 197024
6 197424
7 198022
8 197621
9 196919
10 197517
11 196817
12 199216
13 197814
14 198811
15 19749
16 19779
17 19709
18 19638
19 19937
20 19707

About I. C. Pan

I. C. Pan is a scholar working on Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics, Infectious Diseases, Cardiology and Cardiovascular Medicine and Animal Science and Zoology, having authored 27 papers that have together received 400 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (19 papers), Vector-Borne Animal Diseases (10 papers), Viral Infections and Immunology Research (9 papers), Animal Virus Infections Studies (9 papers), Viral gastroenteritis research and epidemiology (8 papers), Viral Infectious Diseases and Gene Expression in Insects (3 papers), T-cell and Retrovirus Studies (2 papers) and Veterinary Medicine and Surgery (1 paper). The work is most often cited by research in Agronomy and Crop Science (275 citations), Ecology, Evolution, Behavior and Systematics (205 citations), Cardiology and Cardiovascular Medicine (147 citations), Animal Science and Zoology (64 citations) and Infectious Diseases (93 citations). I. C. Pan has collaborated with scholars based in United States, Canada and Taiwan. Frequent co-authors include W. R. Hess, L. Karstad, Ronald D. Wesley, Tsang‐Miao Huang, Masahito Shimizu, W. P. Heuschele, Jerome Polatnick, Maneth Gravell, I. Grinyer and M. Shimizu. Their work appears in journals such as American Journal of Veterinary Research, Experimental Biology and Medicine, Archives of Virology, The Journal of Pathology and Journal of General Virology.

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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