I. Gueït

20 papers receiving 347 citations

Peers

I. Gueït
Comparison fields: 5 of 60
  • Virology 48
  • Parasitology 43
  • Hepatology 41
  • Infectious Diseases 92
  • Endocrinology 27
Replace Yukumasa Kazuyama with:
Yukumasa Kazuyama Japan
Laura Masami Sumita Brazil
Jayne Fenton Canada
R Loubière France
Wojciech Służewski Poland
Reinhard H. Dennin Germany
Thomas Birk Kristiansen Denmark
E Rossier Canada
Albanita V. Oliveira Brazil
Jeffrey E. Galvin United States
I. Gueït relative to Yukumasa Kazuyama Japan Yukumasa Kazuyama's profile →
Citations per field
00.5×3.3×
Yukumasa Kazuyama · 1×
Citations per year

Countries citing papers authored by I. Gueït

Since Specialization
Citations

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

Fields of papers citing papers by I. Gueït

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201364
2 201459
3 200452
4 199850
5 202124
6 201823
7 200114
8 200714
9 199613
10 201212
11 200510
12 20028
13 20087
14 20037
15 20114
16
[Red fingers syndrome in the course of HIV infection. A new case].
19973
17 19971
18 20101
19 19921
20
[Salmonella typhimurium cerebral abscess in a patient with HIV infection].
19961

About I. Gueït

I. Gueït is a scholar working on Infectious Diseases, Epidemiology, Pulmonary and Respiratory Medicine, Rheumatology and Physiology, having authored 22 papers that have together received 369 indexed citations. Recurring topics across this work include Bacterial Infections and Vaccines (2 papers), Systemic Lupus Erythematosus Research (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers), Parasites and Host Interactions (2 papers), Pneumothorax, Barotrauma, Emphysema (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), COVID-19 epidemiological studies (1 paper) and Blood groups and transfusion (1 paper). The work is most often cited by research in Virology (48 citations), Parasitology (43 citations), Hepatology (41 citations), Infectious Diseases (92 citations) and Endocrinology (27 citations). I. Gueït has collaborated with scholars based in France, Switzerland and Sweden. Frequent co-authors include Pierre Roques, Jean‐Christophe Plantier, Philippe Brasseur, Marie Gueudin, François Tron, Loïc Favennec, Arnaud François, Édouard Tuaillon, J Hémet and N. Biga. Their work appears in journals such as The Lancet Infectious Diseases, JAIDS Journal of Acquired Immune Deficiency Syndromes, CHEST Journal, The American Journal of Surgical Pathology and PLoS ONE.

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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