G. Chabanon

1.5k citations
49 papers · 1.1k · h-index 20

Impact in

Papers in

G. Chabanon

46 papers receiving 1.1k citations

Peers

G. Chabanon
Comparison fields: 5 of 89
  • Molecular Medicine 369
  • Endocrinology 305
  • Applied Microbiology and Biotechnology 57
  • Pharmacology 201
  • Critical Care and Intensive Care Medicine 40
Replace E. Yourassowsky with:
E. Yourassowsky Belgium
Ya‐Sung Yang Taiwan
Deepthi Nair India
A. Péchinot France
T.G. Winstanley United Kingdom
Antonios N. Maniatis Greece
Catherine Neuwirth France
M López-Brea Spain
W C Hsieh Taiwan
D. Sofianou Greece
G. Chabanon relative to E. Yourassowsky Belgium E. Yourassowsky's profile →
Citations per field
00.5×3.1×
E. Yourassowsky · 1×
Citations per year

Countries citing papers authored by G. Chabanon

Since Specialization
Citations

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

Fields of papers citing papers by G. Chabanon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004236
2 1999123
3 200570
4 200946
5 199546
6 200644
7 200341
8 200639
9 200736
10 200535
11
Prospective study of Epstein Barr virus (EBV) infection during pregnancy.
198134
12 200433
13 200433
14 199729
15 198827
16 198823
17 200722
18 200319
19 200519
20 199019

About G. Chabanon

G. Chabanon is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine, Plant Science, Endocrinology and Molecular Medicine, having authored 49 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cystic Fibrosis Research Advances (13 papers), Plant Pathogenic Bacteria Studies (10 papers), Antibiotic Resistance in Bacteria (8 papers), Urinary Tract Infections Management (7 papers), Antibiotics Pharmacokinetics and Efficacy (5 papers), Pneumonia and Respiratory Infections (4 papers), Nematode management and characterization studies (4 papers) and Nosocomial Infections in ICU (3 papers). The work is most often cited by research in Molecular Medicine (369 citations), Endocrinology (305 citations), Applied Microbiology and Biotechnology (57 citations), Pharmacology (201 citations) and Critical Care and Intensive Care Medicine (40 citations). G. Chabanon has collaborated with scholars based in France, Belgium and United States. Frequent co-authors include Christine Segonds, N. Marty, Patrice Nordmann, Claire Héritier, Laurent Poirel, Thierry Heulin, M. Archambaud, Sylvie Saivin, Georges Houin and Thierry Seguin. Their work appears in journals such as Journal of Clinical Microbiology, Journal of Cystic Fibrosis, European Urology, European Journal of Clinical Microbiology & Infectious Diseases and Environmental Microbiology.

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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