Caroline Gatey

964 citations
9 papers · 86 · h-index 4

Impact in

    • Tuberculosis Research and Epidemiology
    • HIV/AIDS Research and Interventions
    • HIV/AIDS drug development and treatment
    • HIV Research and Treatment

Papers in

    • HIV/AIDS Research and Interventions 5
    • HIV/AIDS drug development and treatment 4
    • Tuberculosis Research and Epidemiology 3
    • HIV Research and Treatment 4

Caroline Gatey

8 papers receiving 84 citations

Peers

Caroline Gatey
Comparison fields: 5 of 24
  • Infectious Diseases 81
  • Virology 18
  • Epidemiology 56
  • Emergency Medicine 13
  • Finance 5
Replace J. Pavie with:
J. Pavie France
C. Brochier France
Sebastian Wanless United States
Chanroeurn Hak France
Tânia Reuter Brazil
Carmen Hidalgo Tenorio Spain
Veronique Wyffels Belgium
J. Texier-Maugein France
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Marie Froidure France
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Citations per field
00.5×3.5×
J. Pavie · 1×
Citations per year

Countries citing papers authored by Caroline Gatey

Since Specialization
Citations

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

Fields of papers citing papers by Caroline Gatey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 201251
2 201314
3 201510
4 20143
5 20123
6 20183
7 20161
8
[Pre-exposure prophylaxis of HIV infection ].
20141
9
[Tuberculosis treatment in adults].
20120

About Caroline Gatey

Caroline Gatey is a scholar working on Infectious Diseases, Virology, Epidemiology, Surgery and Hepatology, having authored 9 papers that have together received 86 indexed citations. Recurring topics across this work include HIV/AIDS Research and Interventions (5 papers), HIV Research and Treatment (4 papers), HIV/AIDS drug development and treatment (4 papers), Tuberculosis Research and Epidemiology (3 papers), HIV, Drug Use, Sexual Risk (2 papers), Pneumonia and Respiratory Infections (2 papers), Hepatitis C virus research (1 paper) and Pneumocystis jirovecii pneumonia detection and treatment (1 paper). The work is most often cited by research in Infectious Diseases (81 citations), Virology (18 citations), Epidemiology (56 citations), Emergency Medicine (13 citations) and Finance (5 citations). Caroline Gatey has collaborated with scholars based in France and Canada. Frequent co-authors include Pierre Tattevin, D Antoine, Marie-Claire Paty, D. Che, E Bouvet, Philippe Fraisse, Jean‐Michel Molina, Constance Delaugerre, Willy Rozenbaum and Diane Ponscarme. Their work appears in journals such as HIV Medicine, Journal of the International AIDS Society, BMC Medicine, The International Journal of Tuberculosis and Lung Disease and Antiviral Therapy.

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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