H. Chardón

40 papers receiving 400 citations

Peers

H. Chardón
Comparison fields: 5 of 60
  • Molecular Medicine 128
  • Microbiology 14
  • Clinical Biochemistry 82
  • Applied Microbiology and Biotechnology 20
  • Infectious Diseases 165
Replace Sara Kaufman with:
Sara Kaufman Argentina
Katja Bögli‐Stuber Switzerland
Nadia Hidri France
A C Niles United States
Lily Siew Yong Ng Singapore
Michel Auzou France
P Urbášková Czechia
G. Laurans France
P R Murray United States
H. Talsania United Kingdom
H. Chardón relative to Sara Kaufman Argentina Sara Kaufman's profile →
Citations per field
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Citations per year

Countries citing papers authored by H. Chardón

Since Specialization
Citations

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

Fields of papers citing papers by H. Chardón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201275
2 197654
3 201546
4 198628
5 200226
6 201623
7 200319
8 199416
9 201215
10 198514
11 20019
12 20098
13 20028
14 20027
15 20137
16
[Enzymatic constants (Km and Vmax) of beta-lactamases, measured by a computerized micro-acidimetric method].
19737
17
[Statistical study of the SIRSCAN computerised camera].
19977
18 19996
19
[Streptococcus suis meningitis following wild boar hunting].
20036
20 20026

About H. Chardón

H. Chardón is a scholar working on Epidemiology, Molecular Medicine, Infectious Diseases, Pharmacology and Applied Microbiology and Biotechnology, having authored 41 papers that have together received 439 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (14 papers), Pneumonia and Respiratory Infections (10 papers), Antibiotics Pharmacokinetics and Efficacy (10 papers), Pneumocystis jirovecii pneumonia detection and treatment (8 papers), Antimicrobial Resistance in Staphylococcus (8 papers), Antibiotic Use and Resistance (6 papers), Bacterial Identification and Susceptibility Testing (4 papers) and Streptococcal Infections and Treatments (3 papers). The work is most often cited by research in Molecular Medicine (128 citations), Microbiology (14 citations), Clinical Biochemistry (82 citations), Applied Microbiology and Biotechnology (20 citations) and Infectious Diseases (165 citations). H. Chardón has collaborated with scholars based in France, Réunion and Lebanon. Frequent co-authors include François Vandenesch, Frédéric Laurent, M.E. Reverdy, Marisa Haenni, Jean-Yves Madec, Anne Tristan, J Duval, Michèle Bes, Françis Mégraud and H. Drugeon. Their work appears in journals such as International Journal of Antimicrobial Agents, European Journal of Clinical Microbiology & Infectious Diseases, Clinical Microbiology and Infection, Médecine et Maladies Infectieuses and Journal of Microbiological Methods.

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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