Nesya Goris

40 papers receiving 930 citations

Peers

Nesya Goris
Comparison fields: 5 of 64
  • Agronomy and Crop Science 757
  • Ecology, Evolution, Behavior and Systematics 619
  • Cardiology and Cardiovascular Medicine 555
  • Infectious Diseases 240
  • Animal Science and Zoology 65
Replace Carmen Iscaro with:
Carmen Iscaro Italy
José Barrera United States
K. Rajukumar India
Kwang‐Nyeong Lee South Korea
Kerstin Tauscher Germany
J. Rüfenacht Switzerland
H. G. Bahnemann Poland
A. Lipowski Poland
Margarida Simões Portugal
Maureen Hoch Vieira Fernandes Brazil
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Citations per field
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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 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006189
2 200777
3 200773
4 200649
5 200746
6 200746
7 200838
8 201037
9 200836
10 200634
11 200427
12 200927
13 201320
14 200819
15 201418
16 202217
17 201317
18 201316
19 200815
20 201215

About Nesya Goris

Nesya Goris is a scholar working on Agronomy and Crop Science, Cardiology and Cardiovascular Medicine, Ecology, Evolution, Behavior and Systematics, Virology and Infectious Diseases, having authored 40 papers that have together received 969 indexed citations. Recurring topics across this work include Animal Disease Management and Epidemiology (32 papers), Viral Infections and Immunology Research (26 papers), Vector-Borne Animal Diseases (21 papers), Viral Infectious Diseases and Gene Expression in Insects (7 papers), Viral Infections and Vectors (4 papers), Animal Virus Infections Studies (3 papers), Herpesvirus Infections and Treatments (3 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Agronomy and Crop Science (757 citations), Ecology, Evolution, Behavior and Systematics (619 citations), Cardiology and Cardiovascular Medicine (555 citations), Infectious Diseases (240 citations) and Animal Science and Zoology (65 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, Emiliana Brocchi, David J. Paton, A. Dekker, B. Haas, Jean‐François Toussaint, Wesley Van Dessel and D. Sammin. Their work appears in journals such as Vaccine, Antiviral Research, Transboundary and Emerging Diseases, Revue Scientifique et Technique de l OIE 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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