Steven Van Borm

3.6k citations
84 papers · 2.2k · h-index 27

Impact in

Papers in

Steven Van Borm

83 papers receiving 2.1k citations

Peers

Steven Van Borm
Comparison fields: 5 of 85
  • Agronomy and Crop Science 712
  • Insect Science 453
  • Virology 156
  • Animal Science and Zoology 329
  • Infectious Diseases 567
Replace E. Berriatua with:
E. Berriatua Spain
Tsuyoshi Yamaguchi Japan
Eric B. Carstens Canada
Chrysostomos Ι. Dovas Greece
Philippe Jacquiet France
Egbert Mundt Germany
Junzo Norimine Japan
Cadhla Firth United States
Xian‐Dan Lin China
Lane D. Foil United States
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Citations per field
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Citations per year

Countries citing papers authored by Steven Van Borm

Since Specialization
Citations

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

Fields of papers citing papers by Steven Van Borm

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven Van Borm. 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 Steven Van Borm. The network helps show where Steven Van Borm may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003160
2 2005158
3 2002125
4 1998122
5 200993
6 200775
7 201167
8 200960
9 200859
10 200159
11 200253
12 200752
13 200751
14 201051
15 201545
16 200245
17 200944
18 201243
19 200942
20 201741

About Steven Van Borm

Steven Van Borm is a scholar working on Epidemiology, Agronomy and Crop Science, Infectious Diseases, Ecology, Evolution, Behavior and Systematics and Animal Science and Zoology, having authored 84 papers that have together received 2.2k indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (39 papers), Influenza Virus Research Studies (26 papers), Animal Virus Infections Studies (17 papers), Viral Infections and Immunology Research (15 papers), Vector-Borne Animal Diseases (14 papers), Virology and Viral Diseases (14 papers), Viral Infections and Vectors (14 papers) and Plant Virus Research Studies (12 papers). The work is most often cited by research in Agronomy and Crop Science (712 citations), Insect Science (453 citations), Virology (156 citations), Animal Science and Zoology (329 citations) and Infectious Diseases (567 citations). Steven Van Borm has collaborated with scholars based in Belgium, United Kingdom and France. Frequent co-authors include Jacobus J. Boomsma, Bénédicte Lambrecht, Johan Billen, Thierry van den Berg, Mieke Steensels, Frank Vandenbussche, Toon Rosseel, Tom Wenseleers, Thomas Berg and William O. H. Hughes. Their work appears in journals such as Avian Diseases, Transboundary and Emerging Diseases, PLoS ONE, Vaccine and Avian Pathology.

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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