V. Dorenlor

685 citations
18 papers · 480 · h-index 12

Impact in

    • Microbial infections and disease research
  • Hepatology top 5%
    • Hepatitis Viruses Studies and Epidemiology
    • Liver Disease and Transplantation

Papers in

V. Dorenlor

15 papers receiving 474 citations

Peers

V. Dorenlor
Comparison fields: 5 of 36
  • Microbiology 133
  • Hepatology 162
  • Small Animals 145
  • Animal Science and Zoology 159
  • Agronomy and Crop Science 158
Replace Letizia Ceglie with:
Letizia Ceglie Italy
Xiaobo Wen China
Mehmet Özkan Timurkan Türkiye
Mahesh Mahendran India
Elis Lorenzetti Brazil
Branislav Kureljušić Serbia
Madeleine Tråvén Sweden
L. R. Nielsen Denmark
Congli Yuan China
Arūnas Stankevi̇či̇us Lithuania
V. Dorenlor relative to Letizia Ceglie Italy Letizia Ceglie's profile →
Citations per field
00.5×3.4×
Letizia Ceglie · 1×
Citations per year

Countries citing papers authored by V. Dorenlor

Since Specialization
Citations

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

Fields of papers citing papers by V. Dorenlor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201197
2 201365
3 201359
4 201258
5 201037
6 201135
7 201834
8 201423
9 201318
10 201918
11 201713
12 201713
13 20196
14
Estimation of influenza seroprevalence in slaughter pigs in France in 2008-2009.
20113
15 20241
16
Assessment of four sampling methods to detect Mycoplasma hyopneumoniae in live pigs.
20110
17 20070
18 20070

About V. Dorenlor

V. Dorenlor is a scholar working on Small Animals, Infectious Diseases, Animal Science and Zoology, Agronomy and Crop Science and Microbiology, having authored 18 papers that have together received 480 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (7 papers), Animal Disease Management and Epidemiology (6 papers), Animal Virus Infections Studies (5 papers), Microbial infections and disease research (5 papers), Animal Behavior and Welfare Studies (4 papers), Salmonella and Campylobacter epidemiology (3 papers), Hepatitis Viruses Studies and Epidemiology (3 papers) and Influenza Virus Research Studies (3 papers). The work is most often cited by research in Microbiology (133 citations), Hepatology (162 citations), Small Animals (145 citations), Animal Science and Zoology (159 citations) and Agronomy and Crop Science (158 citations). V. Dorenlor has collaborated with scholars based in France, Denmark and Ecuador. Frequent co-authors include F. Eono, Nicolas Rose, Éric Eveno, C. Fablet, Nicole Pavio, Aurélie Lunazzi, François Madec, F. Madec, J. P. Jolly and Marc Éloit. Their work appears in journals such as Preventive Veterinary Medicine, Veterinary Microbiology, Epidemiology and Infection, International Journal for Parasitology and Research in Veterinary Science.

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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