Nadia Oreshkova

23 papers receiving 877 citations

Hit Papers

SARS-CoV-2 infection in farmed minks, the Netherlands, Ap...20202026202220242020100200300400

Peers

Nadia Oreshkova
Comparison fields: 5 of 61
  • Infectious Diseases 797
  • Animal Science and Zoology 246
  • Ecology, Evolution, Behavior and Systematics 198
  • Public Health, Environmental and Occupational Health 114
  • Global and Planetary Change 103
Replace Lies Laenen with:
Lies Laenen Belgium
Velmurugan Balaraman United States
Bert Vanmechelen Belgium
Mirriam G. J. Tacken Netherlands
Peter Marszal Canada
Sergey V. Alkhovsky Russia
Miao-Ruo Wang China
Heather Wells United States
Loïc Comtet France
David Solanes Spain
Nadia Oreshkova relative to Lies Laenen Belgium Lies Laenen's profile →
Citations per field
00.5×5.7×
Lies Laenen · 1×
Citations per year

Countries citing papers authored by Nadia Oreshkova

Since Specialization
Citations

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

Fields of papers citing papers by Nadia Oreshkova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nadia Oreshkova

This figure shows the co-authorship network connecting the top 25 collaborators of Nadia Oreshkova. A scholar is included among the top collaborators of Nadia Oreshkova based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nadia Oreshkova. Nadia Oreshkova is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 10
4 7
5 4
6 19
7 21
8 1
9
SARS-CoV-2 infection in farmed minks, the Netherlands, April and May 2020breakdown →
490
10 8
11 5
12 13
13 24
14 5
15 47
16 31
17 29
18 68
19
Molecular approach in investigation of Newcastle disease strains, isolated in Bulgaria during 2005-2007.
2
20 12

About Nadia Oreshkova

Nadia Oreshkova is a scholar working on Infectious Diseases, Ecology, Evolution, Behavior and Systematics and Animal Science and Zoology, having authored 24 papers that have together received 893 indexed citations. Recurring topics across this work include Viral Infections and Vectors (13 papers), Viral Infections and Outbreaks Research (11 papers) and Vector-Borne Animal Diseases (9 papers). The work is most often cited by research in Infectious Diseases (797 citations), Animal Science and Zoology (246 citations) and Modeling and Simulation (73 citations). Nadia Oreshkova has collaborated with scholars based in Netherlands, France and Germany. Frequent co-authors include Jeroen Kortekaas, R.J.M. Moormann, Sandra Vreman, Nora M. Gerhards, Renate W. Hakze‐van der Honing, Frank Harders, Robert Jan Molenaar, Paulien Tolsma, M.Y. Engelsma and Myrna M.T. de Rooij. Their work appears in journals such as Nature Communications, PLoS ONE and Journal of Molecular Biology.

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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