C. Baillet

469 citations
34 papers · 237 · h-index 9

Impact in

Papers in

C. Baillet

28 papers receiving 234 citations

Peers

C. Baillet
Comparison fields: 5 of 41
  • Hepatology 57
  • Pathology and Forensic Medicine 41
  • Radiology, Nuclear Medicine and Imaging 52
  • Pulmonary and Respiratory Medicine 72
  • Oncology 31
Replace Alfred C. Liao with:
Alfred C. Liao United States
Rosaria Meucci Italy
Massimo Petracchini Italy
P. de Hooge Netherlands
Shiro Onozawa Japan
H. Rau Germany
Yoshinobu Hattori Japan
Gianmarco Giuseppetti Italy
Anthony Sarran France
E. D. M. Bruggink Netherlands
C. Baillet relative to Alfred C. Liao United States Alfred C. Liao's profile →
Citations per field
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Alfred C. Liao · 1×
Citations per year

Countries citing papers authored by C. Baillet

Since Specialization
Citations

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

Fields of papers citing papers by C. Baillet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202043
2 201530
3 202123
4 201823
5 201719
6 201513
7 202013
8 202012
9 201510
10 20237
11 20197
12 20236
13 20215
14 20175
15 20224
16 20182
17 20222
18 20212
19 20172
20 20181

About C. Baillet

C. Baillet is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Surgery, Epidemiology and Hepatology, having authored 34 papers that have together received 237 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Medical Imaging Techniques and Applications (5 papers), Radiomics and Machine Learning in Medical Imaging (5 papers), Lymphoma Diagnosis and Treatment (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers), Vasculitis and related conditions (3 papers) and Thyroid Cancer Diagnosis and Treatment (3 papers). The work is most often cited by research in Hepatology (57 citations), Pathology and Forensic Medicine (41 citations), Radiology, Nuclear Medicine and Imaging (52 citations), Pulmonary and Respiratory Medicine (72 citations) and Oncology (31 citations). C. Baillet has collaborated with scholars based in France, Germany and Switzerland. Frequent co-authors include D. Huglo, Stéphanie Truant, Anthony Turpin, François‐René Pruvot, Mehdi El Amrani, Maximilien Vermandel, Jonathan Olivier, Arnauld Villers, Philippe Puech and Nicolas Penel. Their work appears in journals such as Arthritis Research & Therapy, European Journal of Nuclear Medicine and Molecular Imaging, The Laryngoscope, Blood Advances and European Thyroid Journal.

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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