Thierry Garnier

5.9k citations
31 papers · 2.7k · h-index 21

Impact in

Papers in

Thierry Garnier

29 papers receiving 2.6k citations

Peers

Thierry Garnier
Comparison fields: 5 of 94
  • Infectious Diseases 1.7k
  • Epidemiology 1.3k
  • Immunology 595
  • Molecular Medicine 137
  • Small Animals 151
Replace Fabiana Bigi with:
Fabiana Bigi Argentina
Karin Eiglmeier France
Angel Cataldi Argentina
Franck Biet France
Josephine E. Clark‐Curtiss United States
Tsungda Hsu United States
Xi Pan United States
Stefan Berg United Kingdom
Abdallah M. Abdallah Netherlands
Kanglin Wan China
Thierry Garnier relative to Fabiana Bigi Argentina Fabiana Bigi's profile →
Citations per field
00.5×1.7×
Fabiana Bigi · 1×
Citations per year

Countries citing papers authored by Thierry Garnier

Since Specialization
Citations

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

Fields of papers citing papers by Thierry Garnier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999431
2 2007423
3 2004276
4 2008229
5 1998199
6 2002113
7 2011103
8 200093
9 200084
10 200577
11 200173
12 198972
13 199470
14 198866
15 200562
16 198655
17 200952
18 198837
19 200036
20 200225

About Thierry Garnier

Thierry Garnier is a scholar working on Infectious Diseases, Epidemiology, Immunology, Molecular Biology and Surgery, having authored 31 papers that have together received 2.7k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (15 papers), Mycobacterium research and diagnosis (14 papers), Immunodeficiency and Autoimmune Disorders (5 papers), Leprosy Research and Treatment (4 papers), Anesthesia and Pain Management (4 papers), Immune responses and vaccinations (3 papers), Malaria Research and Control (3 papers) and Insect Resistance and Genetics (2 papers). The work is most often cited by research in Infectious Diseases (1.7k citations), Epidemiology (1.3k citations), Immunology (595 citations), Molecular Medicine (137 citations) and Small Animals (151 citations). Thierry Garnier has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include Stewart T. Cole, Roland Brosch, Karin Eiglmeier, Stephen V. Gordon, Alain Billault, Wafa Frigui, Bart Barrell, Stewart T. Cole, Brigitte Saint‐Joanis and Priscille Brodin. Their work appears in journals such as Infection and Immunity, Regional Anesthesia & Pain Medicine, Proceedings of the National Academy of Sciences, Leprosy Review and Yeast.

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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