Claude B. Sirlin

60.9k citations
485 papers · 41.7k indexed · 23 hit papers · h-index 104

Claude B. Sirlin

471 papers receiving 41.1k citations

Hit Papers

Hepatoce...102200220262010201810002.0k3.0k

Peers

Claude B. Sirlin
Comparison fields: 5 of 191
  • Hepatology 20.6k
  • Epidemiology 24.6k
  • Radiology, Nuclear Medicine and Imaging 9.1k
  • Endocrinology, Diabetes and Metabolism 4.7k
  • Surgery 6.1k
Replace Kazuaki Chayama with:
Kazuaki Chayama Japan
Jorge A. Marrero United States
Jacob George Israel
W. Ray Kim United States
Gregory J. Gores United States
Amit G. Singal United States
Josep M. Llovet Spain
Larry Rubinstein United States
Jordi Bruix Spain
Masatoshi Kudo Japan
Claude B. Sirlin relative to Kazuaki Chayama Japan Kazuaki Chayama's profile →
Citations per field
00.5×7.2×
Kazuaki Chayama · 1×
Citations per year

Countries citing papers authored by Claude B. Sirlin

Since Specialization
Citations

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

Fields of papers citing papers by Claude B. Sirlin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Claude B. Sirlin. 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 Claude B. Sirlin. The network helps show where Claude B. Sirlin may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20238
3 20234
4 20236
5 20237
6 20234
7 202319
8 20225
9 202223
10 202212
11 202120
12 20212
13 202111
14 20219
15 201965
16 201926
17
Optimal threshold of controlled attenuation parameter with MRI‐PDFF as the gold standard for the detection of hepatic steatosisbreakdown →
2017273
18 2016130
19 2011175
20 2009190

About Claude B. Sirlin

Claude B. Sirlin is a scholar working on Hepatology, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 485 papers that have together received 41.7k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (334 papers), Hepatocellular Carcinoma Treatment and Prognosis (201 papers), Liver Disease and Transplantation (117 papers), MRI in cancer diagnosis (72 papers), Advanced MRI Techniques and Applications (57 papers), Liver Diseases and Immunity (39 papers), Radiomics and Machine Learning in Medical Imaging (33 papers) and Diet, Metabolism, and Disease (29 papers). The work is most often cited by research in Hepatology (20.6k citations), Epidemiology (24.6k citations) and Radiology, Nuclear Medicine and Imaging (9.1k citations). Claude B. Sirlin has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Rohit Loomba, Julie K. Heimbach, Lewis R. Roberts, Gavin Hamilton, Laura Kulik, Jorge A. Marrero, Michaël Abécassis, Andrew X. Zhu, Richard S. Finn and Michel Pfeffer. Their work appears in journals such as Radiology, Journal of Magnetic Resonance Imaging, Abdominal Radiology, European Radiology and American Journal of Roentgenology.

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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