P Pérolat

2.9k citations
42 papers · 2.2k indexed · 1 hit paper · h-index 27

P Pérolat

42 papers receiving 2.1k citations

Hit Papers

Polymerase chain reaction for detection of Leptospira spp...3791992202620032014100200300

Peers

P Pérolat
Comparison fields: 5 of 73
  • Parasitology 1.9k
  • Small Animals 428
  • Infectious Diseases 859
  • Endocrinology 71
  • Soil Science 72
Replace Elsio A. Wunder with:
Elsio A. Wunder United States
Pascale Bourhy France
R.B. Marshall New Zealand
Anne Mayer‐Scholl Germany
Clebert José Alves Brazil
Adriana Cortéz Brazil
Hermann Willems Germany
R B LeFebvre United States
A. D. Alexander United States
Silvia Tagliabue Italy
P Pérolat relative to Elsio A. Wunder United States Elsio A. Wunder's profile →
Citations per field
00.5×3.2×
Elsio A. Wunder · 1×
Citations per year

Countries citing papers authored by P Pérolat

Since Specialization
Citations

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

Fields of papers citing papers by P Pérolat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200310
2 200152
3
Recherche de réservoirs de la leptospirose à Madagascar par la technique d'amplification génique.
20013
4 200069
5 200054
6 200076
7
[Epidemiologic and clinical study of leptospirosis in Bourail (New Caledonia)].
199913
8 199981
9 199935
10 199873
11 199846
12 1998119
13 199815
14 199737
15 199639
16 199333
17 199217
18 199235
19
Polymerase chain reaction for detection of Leptospira spp. in clinical samplesbreakdown →
1992379
20
Leptospira interrogans and leptospirosis.
19902

About P Pérolat

P Pérolat is a scholar working on Parasitology, Infectious Diseases and Small Animals, having authored 42 papers that have together received 2.2k indexed citations. Recurring topics across this work include Leptospirosis research and findings (34 papers), Viral Infections and Vectors (15 papers), Veterinary medicine and infectious diseases (4 papers), Vector-borne infectious diseases (3 papers), Humic Substances and Bio-Organic Studies (3 papers), Yersinia bacterium, plague, ectoparasites research (3 papers), Parasitic Diseases Research and Treatment (2 papers) and Mosquito-borne diseases and control (2 papers). The work is most often cited by research in Parasitology (1.9k citations), Small Animals (428 citations) and Infectious Diseases (859 citations). P Pérolat has collaborated with scholars based in New Caledonia, France and Switzerland. Frequent co-authors include G. Baranton, Fabrice Mérien, Isabelle Saint Girons, Pascal Bovet, Claude Yersin, E Bellenger, Jean‐Louis Herrmann, John Welsh, David Ralph and Michael McClelland. Their work appears in journals such as Journal of Clinical Microbiology, Research in Microbiology, Transactions of the Royal Society of Tropical Medicine and Hygiene, American Journal of Tropical Medicine and Hygiene and Journal of Bacteriology.

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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