Nesya Goris

45 papers receiving 1.4k citations

Peers

Nesya Goris
Comparison fields: 5 of 65
  • Agronomy and Crop Science 631
  • Ecology, Evolution, Behavior and Systematics 459
  • Animal Science and Zoology 62
  • Behavioral Neuroscience 19
  • Immunology 72
Replace Natalie Ross-Smith with:
Natalie Ross-Smith United Kingdom
P. G. Allingham Australia
Dagmar Waberski Germany
Andrea Verini Supplizi Italy
Grégoire Harichaux France
Jean-Michel Elsen France
Tom Rijsselaere Belgium
Debra A. Waters United States
Berlin L. Londono-Renteria United States
Elen Anatriello Brazil
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Citations per field
00.5×2×4×5.6×
Natalie Ross-Smith · 1×
Citations per year

Countries citing papers authored by Nesya Goris

Since Specialization
Citations

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

Fields of papers citing papers by Nesya Goris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006193
2 2006144
3 200890
4 201589
5 200785
6 200779
7 200374
8 200853
9 200651
10 200749
11 200748
12 200839
13 201038
14 200836
15 200635
16 200835
17 200430
18 200927
19 201322
20 201421

About Nesya Goris

Nesya Goris is a scholar working on Agronomy and Crop Science, Ecology, Evolution, Behavior and Systematics, Animal Science and Zoology, Infectious Diseases and Statistics, Probability and Uncertainty, having authored 45 papers that have together received 1.5k indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (27 papers), Vector-Borne Animal Diseases (7 papers), Animal Virus Infections Studies (4 papers), HIV/AIDS drug development and treatment (2 papers), interferon and immune responses (2 papers), Viral Infections and Immunology Research (2 papers), Veterinary Pharmacology and Anesthesia (1 paper) and Protease and Inhibitor Mechanisms (1 paper). The work is most often cited by research in Agronomy and Crop Science (631 citations), Ecology, Evolution, Behavior and Systematics (459 citations), Animal Science and Zoology (62 citations), Behavioral Neuroscience (19 citations) and Immunology (72 citations). Nesya Goris has collaborated with scholars based in Belgium, United Kingdom and Germany. Frequent co-authors include Kris De Clercq, Frank Vandenbussche, Johan H. Neyts, Wesley Van Dessel, Corinne Sailleau, Stéphan Zientara, T. Vanbinst, David James Paton, Guy Czaplicki and Emiliana Brocchi. Their work appears in journals such as Vaccine, Antiviral Research, Transboundary and Emerging Diseases, Scientific and Technical Review (World Organisation for Animal Health) and Journal of Feline Medicine and Surgery.

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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