Yan Rolland

7.3k citations
122 papers · 3.9k indexed · h-index 32

Yan Rolland

120 papers receiving 3.8k citations

Peers

Yan Rolland
Comparison fields: 5 of 150
  • Hepatology 1.4k
  • Radiology, Nuclear Medicine and Imaging 1.1k
  • Radiation 376
  • Geophysics 555
  • Pathology and Forensic Medicine 611
Replace Peter J. Littrup with:
Peter J. Littrup United States
Satoshi Kobayashi Japan
Yuka Yamamoto Japan
Claudio Chiesa Italy
Wolfgang Dörr Germany
Yasumasa Nishimura Japan
Vincent Grégoire Belgium
Eric P. Visser Netherlands
Tsutomu Takashima Japan
Taku Aoki Japan
Yan Rolland relative to Peter J. Littrup United States Peter J. Littrup's profile →
Citations per field
00.5×2.6×
Peter J. Littrup · 1×
Citations per year

Countries citing papers authored by Yan Rolland

Since Specialization
Citations

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

Fields of papers citing papers by Yan Rolland

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 202416
3 202114
4 202015
5
Intra-grain chronological and compositional inhomogeneity of magmatic micas
20181
6 201822
7 201548
8 201514
9 2015119
10 2012199
11 201158
12 2011212
13 201124
14 20092
15
Evidence for crustal-scale fluid infiltration during the Alpine orogeny
20071
16
Feedback mechanisms between fluid flow, deformation and mineral reactions in mid-crustal shear zones : insights from the Mont-Blanc Massif (Western Alps)
20051
17 200322
18 20029
19 200142
20 200019

About Yan Rolland

Yan Rolland is a scholar working on Hepatology, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 122 papers that have together received 3.9k indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (34 papers), Geological and Geochemical Analysis (12 papers), Radiopharmaceutical Chemistry and Applications (12 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (12 papers), Radiomics and Machine Learning in Medical Imaging (11 papers), Advanced Radiotherapy Techniques (9 papers), earthquake and tectonic studies (8 papers) and Gallbladder and Bile Duct Disorders (8 papers). The work is most often cited by research in Hepatology (1.4k citations), Radiology, Nuclear Medicine and Imaging (1.1k citations) and Radiation (376 citations). Yan Rolland has collaborated with scholars based in France, Poland and Switzerland. Frequent co-authors include Étienne Garin, Julien Edeline, Éveline Boucher, Jean‐Luc Raoul, Sophie Laffont, Marc Pracht, Karim Boudjéma, Arnaud Pêcher, Gweltaz Mahéo and Laurence Lenoir. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Journal of Nuclear Medicine, Cancers, Journal of Clinical Oncology and European 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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