J.C. Petit

47 papers receiving 896 citations

Peers

J.C. Petit
Comparison fields: 5 of 121
  • Hepatology 119
  • Molecular Medicine 73
  • Infectious Diseases 196
  • Applied Microbiology and Biotechnology 19
  • Endocrinology 51
Replace Carlo Bonfanti with:
Carlo Bonfanti Italy
Muriel Fartoukh France
Shingo Noguchi Japan
Salvador Álvarez United States
William P. Reed United States
Anders Lindblad Sweden
William W. Merrill United States
Diana Vilar‐Compte Mexico
Elias David‐Neto Brazil
J. C. Hood United Kingdom
J.C. Petit relative to Carlo Bonfanti Italy Carlo Bonfanti's profile →
Citations per field
00.5×4.3×
Carlo Bonfanti · 1×
Citations per year

Countries citing papers authored by J.C. Petit

Since Specialization
Citations

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

Fields of papers citing papers by J.C. Petit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997102
2 198187
3 199458
4 199953
5 197440
6 199539
7 200637
8 200137
9 199534
10 200132
11 199432
12 198928
13 198027
14 200227
15 200626
16
High prevalence of hepatitis C virus infection in Belgian intravenous drug users and potential role of the "cotton-filter" in transmission: the GEMT Study.
200026
17 201024
18 197922
19 199320
20 200520

About J.C. Petit

J.C. Petit is a scholar working on Infectious Diseases, Materials Chemistry, Epidemiology, Hepatology and Organic Chemistry, having authored 50 papers that have together received 974 indexed citations. Recurring topics across this work include Clostridium difficile and Clostridium perfringens research (6 papers), Hematopoietic Stem Cell Transplantation (4 papers), Antibiotic Resistance in Bacteria (4 papers), Nosocomial Infections in ICU (4 papers), Hepatitis C virus research (3 papers), Mycobacterium research and diagnosis (3 papers), Neutropenia and Cancer Infections (3 papers) and Coal Properties and Utilization (3 papers). The work is most often cited by research in Hepatology (119 citations), Molecular Medicine (73 citations), Infectious Diseases (196 citations), Applied Microbiology and Biotechnology (19 citations) and Endocrinology (51 citations). J.C. Petit has collaborated with scholars based in France, United States and Indonesia. Frequent co-authors include Frédéric Barbut, Léon Ter Minassian, Georges Offenstadt, J Stachowiak, Ch. Salmon, Norbert Claude Gorin, G Duhamel, A Najman, Y Parlier and R David. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, Journal of Hospital Infection, Fuel, Transplantation and Eurosurveillance.

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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