Philippe Soyer

14.1k total citations · 2 hit papers
371 papers, 9.0k citations indexed

About

Philippe Soyer is a scholar working on Surgery, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Philippe Soyer has authored 371 papers receiving a total of 9.0k indexed citations (citations by other indexed papers that have themselves been cited), including 152 papers in Surgery, 103 papers in Radiology, Nuclear Medicine and Imaging and 88 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Philippe Soyer's work include Hepatocellular Carcinoma Treatment and Prognosis (59 papers), MRI in cancer diagnosis (55 papers) and Radiomics and Machine Learning in Medical Imaging (43 papers). Philippe Soyer is often cited by papers focused on Hepatocellular Carcinoma Treatment and Prognosis (59 papers), MRI in cancer diagnosis (55 papers) and Radiomics and Machine Learning in Medical Imaging (43 papers). Philippe Soyer collaborates with scholars based in France, United States and Canada. Philippe Soyer's co-authors include David A. Bluemke, Mourad Boudiaf, Anthony Dohan, Elliot K. Fishman, Christine Hoeffel, Roland Rymer, Jean‐Pierre Pelage, Marc C. Levesque, M Kardache and R. Rymer and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Radiology.

In The Last Decade

Philippe Soyer

359 papers receiving 8.8k citations

Hit Papers

Interobserver agreement issues in radiology 2020 2026 2022 2024 2020 2023 50 100 150 200

Peers

Philippe Soyer
Comparison fields: 5 of 160
  • Surgery 3.5k
  • Radiology, Nuclear Medicine and Imaging 2.3k
  • Oncology 1.7k
  • Pulmonary and Respiratory Medicine 1.7k
  • Epidemiology 1.6k
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Fergus V. Coakley United States View profile →
Citations per field, relative to Philippe Soyer
Philippe Soyer · 1×
Citations per year, relative to Philippe Soyer
Philippe Soyer · 1×

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-authorship network of co-authors of Philippe Soyer

This figure shows the co-authorship network connecting the top 25 collaborators of Philippe Soyer. A scholar is included among the top collaborators of Philippe Soyer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Philippe Soyer. Philippe Soyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 21
3 9
4 8
5
Revolutionizing radiology with GPT-based models: Current applications, future possibilities and limitations of ChatGPT breakdown →
227
6 1
7 66
8 4
9 4
10 22
11 28
12 9
13 11
14 26
15 30
16 4
17 17
18 4
19
Embolisation artérielle dans les hémorragies graves du post-partum
0
20 17

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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