Frédéric Schynts

1.6k citations
44 papers · 1.3k · h-index 21

Impact in

Papers in

    • Herpesvirus Infections and Treatments 31
    • Cytomegalovirus and herpesvirus research 17
    • T-cell and Retrovirus Studies 11

Frédéric Schynts

44 papers receiving 1.2k citations

Peers

Frédéric Schynts
Comparison fields: 5 of 68
  • Agronomy and Crop Science 461
  • Epidemiology 866
  • Microbiology 100
  • Animal Science and Zoology 160
  • Ecology, Evolution, Behavior and Systematics 308
Replace M. Mérza with:
M. Mérza Sweden
J. A. Mumford United Kingdom
Julien Thiry Belgium
O.‐R. Kaaden Germany
J. T. Bryans United States
Koji Tsujimura Japan
A. A. Schudel Argentina
L. D. Miller United States
H. Bielefeldt Ohmann Canada
L. A. Babiuk Canada
Frédéric Schynts relative to M. Mérza Sweden M. Mérza's profile →
Citations per field
00.5×1.5×2.4×
M. Mérza · 1×
Citations per year

Countries citing papers authored by Frédéric Schynts

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Schynts

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007357
2 200861
3 200058
4 201150
5 200347
6 200445
7 200244
8 200542
9 200441
10 200038
11 200137
12 199936
13 200033
14 200432
15 200632
16 199930
17 200428
18 200927
19 200722
20 200222

About Frédéric Schynts

Frédéric Schynts is a scholar working on Epidemiology, Immunology, Ecology, Evolution, Behavior and Systematics, Agronomy and Crop Science and Oncology, having authored 44 papers that have together received 1.3k indexed citations. Recurring topics across this work include Herpesvirus Infections and Treatments (31 papers), Cytomegalovirus and herpesvirus research (17 papers), Vector-Borne Animal Diseases (12 papers), T-cell and Retrovirus Studies (11 papers), Viral-associated cancers and disorders (8 papers), Animal Disease Management and Epidemiology (8 papers), Virus-based gene therapy research (8 papers) and Microbial infections and disease research (5 papers). The work is most often cited by research in Agronomy and Crop Science (461 citations), Epidemiology (866 citations), Microbiology (100 citations), Animal Science and Zoology (160 citations) and Ecology, Evolution, Behavior and Systematics (308 citations). Frédéric Schynts has collaborated with scholars based in Belgium, France and United Kingdom. Frequent co-authors include Étienne Thiry, Benoît Muylkens, Julien Thiry, François Meurens, Alain Vanderplasschen, Gilles Meyer, Sacha Gogev, Mylène Lemaire, M Lemaire and Éric Baranowski. Their work appears in journals such as Journal of Virology, Veterinary Microbiology, Veterinary Record, Journal of Clinical Microbiology and Journal of Veterinary Internal Medicine.

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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