G. Perrin

643 citations
24 papers · 487 · h-index 12

Impact in

Papers in

G. Perrin

22 papers receiving 456 citations

Peers

G. Perrin
Comparison fields: 5 of 49
  • Virology 125
  • Agronomy and Crop Science 158
  • Biotechnology 107
  • Food Science 176
  • Epidemiology 157
Replace Ibrahim Eldaghayes with:
Ibrahim Eldaghayes Libya
B. Amorena Spain
L. Scaccabarozzi Italy
B Lucio United States
Melanie Prarat United States
Sudhir Kumar Kashyap India
Hiromi Takahashi‐Omoe Japan
David C. Kradel United States
Joshua W. Aleri Australia
Qingling Meng China
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Citations per field
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Ibrahim Eldaghayes · 1×
Citations per year

Countries citing papers authored by G. Perrin

Since Specialization
Citations

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

Fields of papers citing papers by G. Perrin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199765
2 199862
3 200058
4 200156
5 199838
6 200237
7 199727
8 199625
9
[Impact of the cellular concentration of milk in goats on its production and its composition].
199725
10 199923
11 199618
12
[Detection of caprine arthritis encephalitis virus in sperm of experimentally infected bucks].
199917
13
Impact of mammary gland inflammation on milk yield and composition in goats
199711
14 199310
15 20085
16
Isolation of Mycoplasma putrefaciens in two herds of goats showing symptoms of agalactia
19863
17
L'arthrite encéphalite caprine
19911
18 19891
19 19871
20 20041

About G. Perrin

G. Perrin is a scholar working on Epidemiology, Agronomy and Crop Science, Virology, Animal Science and Zoology and Molecular Biology, having authored 24 papers that have together received 487 indexed citations. Recurring topics across this work include Milk Quality and Mastitis in Dairy Cows (5 papers), HIV Research and Treatment (5 papers), Hepatitis B Virus Studies (4 papers), Herpesvirus Infections and Treatments (4 papers), Mosquito-borne diseases and control (3 papers), Animal Virus Infections Studies (3 papers), Microbial infections and disease research (2 papers) and Hepatitis C virus research (2 papers). The work is most often cited by research in Virology (125 citations), Agronomy and Crop Science (158 citations), Biotechnology (107 citations), Food Science (176 citations) and Epidemiology (157 citations). G. Perrin has collaborated with scholars based in France, Switzerland and Brazil. Frequent co-authors include Stephen Valas, R. Mamoun, Camille Baudry, C. Mazuy, Virginie Bonnin, François Morgan, Christophe Guionaud, C. Lapeyre, C. Vernozy‐Rozand and Christophe Chartier. Their work appears in journals such as Small Ruminant Research, International Journal of Food Microbiology, Retrovirology, Journal of Applied Microbiology and Journal of Dairy Research.

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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