Nesya Goris

41 papers receiving 1.0k citations

Peers

Nesya Goris
Comparison fields: 5 of 76
  • Agronomy and Crop Science 756
  • Ecology, Evolution, Behavior and Systematics 607
  • Cardiology and Cardiovascular Medicine 529
  • Infectious Diseases 240
  • Behavioral Neuroscience 32
Replace Saravanan Subramaniam with:
Saravanan Subramaniam India
Benjamin Lamp Germany
Young-Joon Ko South Korea
Jolene Carlson United States
Maria Teresa Frı́as Cuba
A. J. Forman Australia
Ann Sofie Olesen Denmark
Ruby J. Larson United States
Melissa Da Silva Canada
D. Sammin Ireland
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Citations per field
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Saravanan Subramaniam · 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 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006191
2 200780
3 200374
4 200772
5 200651
6 200748
7 200746
8 201038
9 200838
10 200836
11 200635
12 200429
13 200927
14 201322
15 200820
16 201419
17 202218
18 201317
19 201317
20 200715

About Nesya Goris

Nesya Goris is a scholar working on Agronomy and Crop Science, Cardiology and Cardiovascular Medicine, Ecology, Evolution, Behavior and Systematics, Molecular Biology and Infectious Diseases, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (32 papers), Viral Infections and Immunology Research (25 papers), Vector-Borne Animal Diseases (20 papers), Viral Infectious Diseases and Gene Expression in Insects (7 papers), Viral Infections and Vectors (4 papers), Herpesvirus Infections and Treatments (3 papers), Animal Virus Infections Studies (3 papers) and Cytomegalovirus and herpesvirus research (2 papers). The work is most often cited by research in Agronomy and Crop Science (756 citations), Ecology, Evolution, Behavior and Systematics (607 citations), Cardiology and Cardiovascular Medicine (529 citations), Infectious Diseases (240 citations) and Behavioral Neuroscience (32 citations). Nesya Goris has collaborated with scholars based in Belgium, United Kingdom and Germany. Frequent co-authors include Kris De Clercq, Frank Vandenbussche, Johan Neyts, David J. Paton, Emiliana Brocchi, Eduard Kühn, Wesley Van Dessel, Lut Arckens, Bert De Groef and Veerle Darras. Their work appears in journals such as Vaccine, Antiviral Research, Transboundary and Emerging Diseases, Revue Scientifique et Technique de l OIE and Veterinary Microbiology.

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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