J. Caillon

185 papers receiving 3.4k citations

Peers

J. Caillon
Comparison fields: 5 of 133
  • Molecular Medicine 701
  • Applied Microbiology and Biotechnology 183
  • Clinical Biochemistry 358
  • Infectious Diseases 856
  • Pharmacology 598
Replace Denis Spelman with:
Denis Spelman Australia
Francesco Cristini Italy
Thean Yen Tan Singapore
Robert H.K. Eng United States
J. A. A. Hoogkamp‐Korstanje Netherlands
Emanuele Durante‐Mangoni Italy
Hiroshige Mikamo Japan
Stéphane Corvec France
B. Fantin France
Zeina A. Kanafani Lebanon
J. Caillon relative to Denis Spelman Australia Denis Spelman's profile →
Citations per field
00.5×2×2.8×
Denis Spelman · 1×
Citations per year

Countries citing papers authored by J. Caillon

Since Specialization
Citations

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

Fields of papers citing papers by J. Caillon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 194 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014136
2 2000134
3 2014133
4 2005107
5 200794
6 201988
7 200478
8 201578
9 201767
10 201364
11 200263
12 201056
13 201054
14 199753
15 200353
16 201651
17 201650
18 202048
19 201447
20 200146

About J. Caillon

J. Caillon is a scholar working on Epidemiology, Infectious Diseases, Molecular Medicine, Pharmacology and Surgery, having authored 194 papers that have together received 3.6k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (49 papers), Antibiotics Pharmacokinetics and Efficacy (46 papers), Antimicrobial Resistance in Staphylococcus (43 papers), Bacterial Identification and Susceptibility Testing (23 papers), Infective Endocarditis Diagnosis and Management (21 papers), Orthopedic Infections and Treatments (18 papers), Antibiotic Use and Resistance (15 papers) and Pneumonia and Respiratory Infections (13 papers). The work is most often cited by research in Molecular Medicine (701 citations), Applied Microbiology and Biotechnology (183 citations), Clinical Biochemistry (358 citations), Infectious Diseases (856 citations) and Pharmacology (598 citations). J. Caillon has collaborated with scholars based in France, United States and Brazil. Frequent co-authors include Cédric Jacqueline, G. Potel, Éric Batard, Christèle Gras‐Le Guen, Denis Bugnon, V. Le Mabecque, H Drugeon, Jean‐Christophe Rozé, David Boutoille and A.-F. Miegeville. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Antimicrobial Chemotherapy, European Journal of Clinical Microbiology & Infectious Diseases, International Journal of Antimicrobial Agents and Scientific Reports.

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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