Frédéric Gabriel

1.2k citations
40 papers · 703 · h-index 15

Impact in

Papers in

    • Fungal Infections and Studies 14
    • Pneumocystis jirovecii pneumonia detection and treatment 7
    • Pneumonia and Respiratory Infections 2
    • Antifungal resistance and susceptibility 19

Frédéric Gabriel

37 papers receiving 683 citations

Peers

Frédéric Gabriel
Comparison fields: 5 of 82
  • Infectious Diseases 371
  • Clinical Biochemistry 99
  • Epidemiology 329
  • Cell Biology 151
  • Microbiology 48
Replace I. Surmont with:
I. Surmont Belgium
Annelies De Bel Belgium
Jan Marco Kern Austria
Jong Hee Shin South Korea
G. S. Shankland United Kingdom
Seung Jung Kee South Korea
Rose‐Anne Lavergne France
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Penelope Barnes United States
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Citations per field
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Citations per year

Countries citing papers authored by Frédéric Gabriel

Since Specialization
Citations

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

Fields of papers citing papers by Frédéric Gabriel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201796
2 198468
3 201862
4 201756
5 201945
6 201937
7 201933
8 202029
9 202125
10 201623
11
Guidelines for prophylaxis of Pneumocystis pneumonia cannot rely solely on CD4-cell count in autoimmune and inflammatory diseases.
201822
12 201219
13 202318
14 201918
15 201415
16 201014
17 201813
18 198711
19 200411
20 201411

About Frédéric Gabriel

Frédéric Gabriel is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Cell Biology and Small Animals, having authored 40 papers that have together received 703 indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (19 papers), Fungal Infections and Studies (14 papers), Pneumocystis jirovecii pneumonia detection and treatment (7 papers), Plant Pathogens and Fungal Diseases (6 papers), Infectious Diseases and Mycology (3 papers), Bacterial Identification and Susceptibility Testing (3 papers), Pneumonia and Respiratory Infections (2 papers) and Mycotoxins in Agriculture and Food (2 papers). The work is most often cited by research in Infectious Diseases (371 citations), Clinical Biochemistry (99 citations), Epidemiology (329 citations), Cell Biology (151 citations) and Microbiology (48 citations). Frédéric Gabriel has collaborated with scholars based in France, Belgium and United Kingdom. Frequent co-authors include Isabelle Accoceberry, G Mumtaz, G.L. Ridgway, J D Oriel, Thierry Noël, Anne‐Cécile Normand, Marijke Hendrickx, Renaud Piarroux, Lilia Hasseine and Stéphane Ranque. Their work appears in journals such as Medical Mycology, Journal of Clinical Microbiology, Antimicrobial Agents and Chemotherapy, Mycoses and Clinical Microbiology and Infection.

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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