Y Chabbert

66 papers receiving 1.3k citations

Peers

Y Chabbert
Comparison fields: 5 of 93
  • Molecular Medicine 656
  • Endocrinology 193
  • Applied Microbiology and Biotechnology 46
  • Infectious Diseases 391
  • Clinical Biochemistry 128
Replace D. H. Bouanchaud with:
D. H. Bouanchaud France
J C Pechère Switzerland
D Billot-Klein France
Lynn P. Elwell United States
M Bogaki Japan
R E Kessler United States
Tim Littlejohn Australia
J C Pérez-Díaz Spain
Cynthia H. O'Callaghan Germany
Stan Cohen United States
Y Chabbert relative to D. H. Bouanchaud France D. H. Bouanchaud's profile →
Citations per field
00.5×
D. H. Bouanchaud · 1×
Citations per year

Countries citing papers authored by Y Chabbert

Since Specialization
Citations

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

Fields of papers citing papers by Y Chabbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1968246
2 1976154
3 1972147
4 1982132
5 197892
6 197971
7 197159
8 198353
9 197844
10 198037
11
In vitro antagonism between erythromycin and spiramycin.
195633
12 197333
13 197129
14 196027
15 196927
16
[Statement of the Antibiogram Committee of the French Society of Microbiology].
198426
17 197825
18 198420
19
[Practical modifications concerning the determination of antibiotics in clinical practice].
195720
20 197320

About Y Chabbert

Y Chabbert is a scholar working on Molecular Medicine, Pharmacology, Epidemiology, Infectious Diseases and Food Science, having authored 81 papers that have together received 1.6k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (24 papers), Antibiotics Pharmacokinetics and Efficacy (13 papers), Antimicrobial Resistance in Staphylococcus (12 papers), Antibiotic Use and Resistance (8 papers), Streptococcal Infections and Treatments (7 papers), Mycobacterium research and diagnosis (7 papers), Historical Medical Research and Treatments (6 papers) and Salmonella and Campylobacter epidemiology (5 papers). The work is most often cited by research in Molecular Medicine (656 citations), Endocrinology (193 citations), Applied Microbiology and Biotechnology (46 citations), Infectious Diseases (391 citations) and Clinical Biochemistry (128 citations). Y Chabbert has collaborated with scholars based in France, Japan and United States. Frequent co-authors include D. H. Bouanchaud, M Scavizzi, A Jaffé, T Horodniceanu, G Gerbaud, G Bieth, J. F. Acar, E Derlot, Jean-Claude Patte and Lydie Bougueleret. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Journal of Antimicrobial Chemotherapy, The Journal of Antibiotics, The Journal of Infectious Diseases and Journal of Bacteriology.

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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