Steven Van Borm

3.7k citations
85 papers · 2.3k · h-index 27

Impact in

Papers in

Steven Van Borm

84 papers receiving 2.2k citations

Peers

Steven Van Borm
Comparison fields: 5 of 89
  • Agronomy and Crop Science 697
  • Virology 165
  • Insect Science 466
  • Epidemiology 1.1k
  • Infectious Diseases 568
Replace E. Berriatua with:
E. Berriatua Spain
Tsuyoshi Yamaguchi Japan
Egbert Mundt Germany
Junzo Norimine Japan
Chrysostomos Ι. Dovas Greece
Eric B. Carstens Canada
Philippe Jacquiet France
Sarah N. Bevins United States
Walter Basso Switzerland
Z. Woldehiwet United Kingdom
Steven Van Borm relative to E. Berriatua Spain E. Berriatua's profile →
Citations per field
00.5×1.5×2×2.3×
E. Berriatua · 1×
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 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003173
2 2005173
3 2002130
4 1998126
5 200999
6 200780
7 201169
8 200964
9 200162
10 200859
11 200257
12 201055
13 200753
14 200752
15 200247
16 201246
17 201545
18 200944
19 200942
20 201442

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 85 papers that have together received 2.3k 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 (16 papers), Viral Infections and Immunology Research (15 papers), Virology and Viral Diseases (14 papers), Vector-Borne Animal Diseases (14 papers), Viral Infections and Vectors (14 papers) and Plant Virus Research Studies (13 papers). The work is most often cited by research in Agronomy and Crop Science (697 citations), Virology (165 citations), Insect Science (466 citations), Epidemiology (1.1k citations) and Infectious Diseases (568 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, William O. H. Hughes and Seirian Sumner. Their work appears in journals such as Avian Diseases, Transboundary and Emerging Diseases, PLoS ONE, Vaccine and Virus Genes.

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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