Andy Haegeman

59 papers receiving 1.1k citations

Peers

Andy Haegeman
Comparison fields: 5 of 44
  • Virology 680
  • Agronomy and Crop Science 356
  • Ecology, Evolution, Behavior and Systematics 358
  • Epidemiology 468
  • Infectious Diseases 160
Replace Yehuda Stram with:
Yehuda Stram Israel
Klaas Dietze Germany
Alexander Sprygin Russia
Niranjan Mishra India
Frank Vandenbussche Belgium
Angelika Loitsch Austria
V.A. Srinivasan India
Ilse De Leeuw Belgium
Mehdi El Harrak Morocco
J. M. Hammond United Kingdom
Andy Haegeman relative to Yehuda Stram Israel Yehuda Stram's profile →
Citations per field
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Citations per year

Countries citing papers authored by Andy Haegeman

Since Specialization
Citations

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

Fields of papers citing papers by Andy Haegeman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andy Haegeman. 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 Andy Haegeman. The network helps show where Andy Haegeman may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019100
2 202157
3 202255
4 201755
5 201353
6 202050
7 201742
8 201940
9 202138
10 201335
11 202329
12 202329
13 201628
14 201628
15 200727
16 201927
17 200926
18 201426
19 201625
20 200924

About Andy Haegeman

Andy Haegeman is a scholar working on Virology, Ecology, Evolution, Behavior and Systematics, Agronomy and Crop Science, Epidemiology and Cardiology and Cardiovascular Medicine, having authored 64 papers that have together received 1.1k indexed citations. Recurring topics across this work include Poxvirus research and outbreaks (34 papers), Vector-Borne Animal Diseases (28 papers), Animal Disease Management and Epidemiology (28 papers), Herpesvirus Infections and Treatments (26 papers), Viral Infections and Immunology Research (19 papers), Plant Virus Research Studies (14 papers), Virus-based gene therapy research (10 papers) and Bacteriophages and microbial interactions (4 papers). The work is most often cited by research in Virology (680 citations), Agronomy and Crop Science (356 citations), Ecology, Evolution, Behavior and Systematics (358 citations), Epidemiology (468 citations) and Infectious Diseases (160 citations). Andy Haegeman has collaborated with scholars based in Belgium, France and Nigeria. Frequent co-authors include Kris De Clercq, Ilse De Leeuw, Willem Van Campe, Frank Vandenbussche, Laurent Mostin, Élisabeth Mathijs, Nick De Regge, Steven Van Borm, F. Koenen and Laetitia Aerts. Their work appears in journals such as Viruses, Transboundary and Emerging Diseases, Journal of Virology, Antiviral Research and Vaccines.

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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