R. Lecomte

2.9k citations
34 papers · 512 indexed · h-index 12

Impact in

Papers in

R. Lecomte

31 papers receiving 501 citations

Peers

R. Lecomte
Comparison fields: 5 of 73
  • Internal Medicine 99
  • Infectious Diseases 345
  • Clinical Biochemistry 41
  • Epidemiology 192
  • Neurology 83
Replace Jorge Calderón‐Parra with:
Jorge Calderón‐Parra Spain
Qingfeng Shi China
Simone Bastrup Israelsen Denmark
Charlotte Kaeuffer France
Sandrine Valade France
Daanish Hoda United States
Olivier Peyrony France
Annika Y. Claßen Germany
Francesca Carraro Italy
Erin G. Brooks United States
R. Lecomte relative to Jorge Calderón‐Parra Spain Jorge Calderón‐Parra's profile →
Citations per field
00.5×5.7×
Jorge Calderón‐Parra · 1×
Citations per year

Countries citing papers authored by R. Lecomte

Since Specialization
Citations

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

Fields of papers citing papers by R. Lecomte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20240
4 202410
5 20241
6 20241
7 20241
8 20241
9 20241
10 20233
11 20233
12 20231
13 202315
14 202047
15 2020185
16 20209
17 202017
18 202019
19 201943
20 20156

About R. Lecomte

R. Lecomte is a scholar working on Infectious Diseases, Clinical Biochemistry, Epidemiology, Parasitology and Microbiology, having authored 34 papers that have together received 512 indexed citations. Recurring topics across this work include Infective Endocarditis Diagnosis and Management (18 papers), Antimicrobial Resistance in Staphylococcus (14 papers), Orthopedic Infections and Treatments (10 papers), Infectious Diseases and Tuberculosis (5 papers), Bacterial Identification and Susceptibility Testing (5 papers), Streptococcal Infections and Treatments (5 papers), COVID-19 Clinical Research Studies (3 papers) and Antibiotics Pharmacokinetics and Efficacy (3 papers). The work is most often cited by research in Internal Medicine (99 citations), Infectious Diseases (345 citations), Clinical Biochemistry (41 citations), Epidemiology (192 citations) and Neurology (83 citations). R. Lecomte has collaborated with scholars based in France, Canada and United States. Frequent co-authors include David Boutoille, F. Raffi, A. Néel, Mathieu Artifoni, Giovanni Gautier, Benjamin Gaborit, Christine Sagan, Paul Le Turnier, Emmanuel Canet and Matthieu Grégoire. Their work appears in journals such as Journal of Antimicrobial Chemotherapy, Clinical Infectious Diseases, Clinical Microbiology and Infection, Journal of Clinical Medicine and International Journal of Cardiology.

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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