C Campese

2.9k citations
31 papers · 884 · h-index 13

Impact in

Papers in

C Campese

29 papers receiving 838 citations

Peers

C Campese
Comparison fields: 5 of 97
  • Endocrinology 427
  • Modeling and Simulation 110
  • Health, Toxicology and Mutagenesis 209
  • Infectious Diseases 277
  • Parasitology 70
Replace S Haeghebaert with:
S Haeghebaert France
Nick Phin United Kingdom
Hilary E. Tillett United Kingdom
Hannah E. Reses United States
Shuzo Kanagawa Japan
Marcos Ñavincopa Peru
Rachel B. Eidex United States
Carl A. Perlino United States
B Decludt France
Pei‐Chun Chan Taiwan
C Campese relative to S Haeghebaert France S Haeghebaert's profile →
Citations per field
00.5×5.5×
S Haeghebaert · 1×
Citations per year

Countries citing papers authored by C Campese

Since Specialization
Citations

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

Fields of papers citing papers by C Campese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005228
2 2020149
3 200388
4 200461
5 201054
6 201143
7 200342
8 200531
9 200823
10 201517
11 201417
12 201016
13 202013
14 200412
15 202110
16 20069
17 20078
18 20078
19 20127
20 20227

About C Campese

C Campese is a scholar working on Endocrinology, Infectious Diseases, Molecular Biology, Public Health, Environmental and Occupational Health and Molecular Medicine, having authored 31 papers that have together received 884 indexed citations. Recurring topics across this work include Legionella and Acanthamoeba research (23 papers), Vibrio bacteria research studies (11 papers), Bacterial biofilms and quorum sensing (7 papers), Antibiotic Resistance in Bacteria (4 papers), Yersinia bacterium, plague, ectoparasites research (3 papers), Travel-related health issues (3 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (2 papers) and Zoonotic diseases and public health (2 papers). The work is most often cited by research in Endocrinology (427 citations), Modeling and Simulation (110 citations), Health, Toxicology and Mutagenesis (209 citations), Infectious Diseases (277 citations) and Parasitology (70 citations). C Campese has collaborated with scholars based in France, Morocco and United Kingdom. Frequent co-authors include Sophie Jarraud, D. Che, Jérôme Etienne, B Decludt, Jean‐Claude Desenclos, Didier Che, Johann Cailhol, Laurence Rouïl, D. Ilèf and S Haeghebaert. Their work appears in journals such as Eurosurveillance, Journal of Clinical Microbiology, Emerging infectious diseases, Epidemiology and Infection and Clinical Infectious Diseases.

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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