Philippe Soyer

362 papers receiving 9.0k citations

Philippe Soyer's Hit Papers

Revolutionizing radiology with GPT-based models: Current applications, future possibilities and limitations of ChatGPT 2023 · 244 citations
2440+2+4Years since publication50100150200

Peers

Philippe Soyer
Comparison fields: 5 of 156
  • Health Informatics 295
  • Hepatology 1.3k
  • Obstetrics and Gynecology 1.2k
  • Gastroenterology 470
  • Pediatrics, Perinatology and Child Health 1.3k
Replace Christine O. Menias with:
Christine O. Menias United States
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Caroline Reinhold Canada
Khaled M. Elsayes United States
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Citations per year

Countries citing papers authored by Philippe Soyer

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Soyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 371 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000281
2
Revolutionizing radiology with GPT-based models: Current applications, future possibilities and limitations of ChatGPT
Hit paper breakdown →
2023244
3
Interobserver agreement issues in radiology
Hit paper breakdown →
2020241
4 1995235
5 1998209
6 1999180
7 2004169
8 2014165
9 1999153
10 1999134
11 2020105
12 2004103
13 199299
14 201792
15 201281
16 199579
17 201679
18 202277
19
Selective arterial embolization of the uterine arteries in the management of intractable post-partum hemorrhage.
199977
20 202276

About Philippe Soyer

Philippe Soyer is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Hepatology and Oncology, having authored 371 papers that have together received 9.2k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (48 papers), Radiomics and Machine Learning in Medical Imaging (32 papers), Pancreatic and Hepatic Oncology Research (31 papers), Maternal and fetal healthcare (30 papers), MRI in cancer diagnosis (27 papers), Liver Disease Diagnosis and Treatment (26 papers), Gastrointestinal disorders and treatments (18 papers) and Uterine Myomas and Treatments (17 papers). The work is most often cited by research in Health Informatics (295 citations), Hepatology (1.3k citations), Obstetrics and Gynecology (1.2k citations), Gastroenterology (470 citations) and Pediatrics, Perinatology and Child Health (1.3k citations). Philippe Soyer has collaborated with scholars based in France, United States and Canada. Frequent co-authors include David A. Bluemke, Mourad Boudiaf, Anthony Dohan, Christine Hoeffel, Elliot K. Fishman, Roland Rymer, Jean‐Pierre Pelage, Marc C. Levesque, M Kardache and R. Rymer. Their work appears in journals such as Diagnostic and Interventional Imaging, European Radiology, Radiology, American Journal of Roentgenology and European Journal of Radiology.

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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