R. Thiam

657 citations
15 papers · 506 indexed · h-index 12

R. Thiam

15 papers receiving 496 citations

Peers

R. Thiam
Comparison fields: 5 of 55
  • Obstetrics and Gynecology 112
  • Internal Medicine 53
  • Radiology, Nuclear Medicine and Imaging 254
  • Critical Care and Intensive Care Medicine 39
  • Pulmonary and Respiratory Medicine 183
Replace Satoshi Nakamura with:
Satoshi Nakamura Japan
Yasukazu Shioyama Japan
Cem Parlak Türkiye
Nielson Tse United States
Kristin La Fortune United States
Jae Kil Park South Korea
J Vaňásek Czechia
Aurélie Rousseau France
Camilla Molich Hoff Denmark
Suresh Maximin United States
R. Thiam relative to Satoshi Nakamura Japan Satoshi Nakamura's profile →
Citations per field
00.5×6.5×
Satoshi Nakamura · 1×
Citations per year

Countries citing papers authored by R. Thiam

Since Specialization
Citations

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

Fields of papers citing papers by R. Thiam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

15 of 15 papers shown
#Work
1 201449
2 201419
3 201337
4 201331
5 201311
6 201226
7 201233
8 201227
9 201217
10 201067
11 2010106
12 20101
13 200972
14 20071
15 20079

About R. Thiam

R. Thiam is a scholar working on Obstetrics and Gynecology, Radiology, Nuclear Medicine and Imaging, Internal Medicine, Pediatrics, Perinatology and Child Health and Critical Care and Intensive Care Medicine, having authored 15 papers that have together received 506 indexed citations. Recurring topics across this work include MRI in cancer diagnosis (6 papers), Renal cell carcinoma treatment (6 papers), Pregnancy and preeclampsia studies (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Neonatal and fetal brain pathology (2 papers), Fetal and Pediatric Neurological Disorders (2 papers), Medical Imaging Techniques and Applications (1 paper) and Uterine Myomas and Treatments (1 paper). The work is most often cited by research in Obstetrics and Gynecology (112 citations), Internal Medicine (53 citations), Radiology, Nuclear Medicine and Imaging (254 citations), Critical Care and Intensive Care Medicine (39 citations) and Pulmonary and Respiratory Medicine (183 citations). R. Thiam has collaborated with scholars based in France, United States and Italy. Frequent co-authors include C.A. Cuénod, Laure Fournier, Daniel Balvay, Jacques Médioni, Stéphane Oudard, Guy Frija, Ludovic Trinquart, Gilles Châtellier, Nathalie Siauve and Olivier Clémеnt. Their work appears in journals such as Radiology, Journal of Clinical Oncology, Diagnostic and Interventional Imaging, Investigative Radiology and Magnetic Resonance in Medicine.

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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