Stéphanie J. E. Becker

1.9k citations
69 papers · 1.5k · h-index 21

Impact in

Papers in

Stéphanie J. E. Becker

64 papers receiving 1.5k citations

Peers

Stéphanie J. E. Becker
Comparison fields: 5 of 77
  • Pathology and Forensic Medicine 889
  • Radiology, Nuclear Medicine and Imaging 415
  • Cancer Research 210
  • Oncology 343
  • Genetics 104
Replace Salim Kanoun with:
Salim Kanoun France
Makiko Itami Japan
Somali C. Gavane United States
Hervé Tilly France
Christine De Wolf‐Peeters Belgium
Daoud Rahal Italy
Thi Dan Linh Nguyen‐Kim Switzerland
Antonio D’Antonio Italy
Pierre Schlienger France
Laura A. Smit Netherlands
Stéphanie J. E. Becker relative to Salim Kanoun France Salim Kanoun's profile →
Citations per field
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Salim Kanoun · 1×
Citations per year

Countries citing papers authored by Stéphanie J. E. Becker

Since Specialization
Citations

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

Fields of papers citing papers by Stéphanie J. E. Becker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stéphanie J. E. Becker. 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 Stéphanie J. E. Becker. The network helps show where Stéphanie J. E. Becker may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016162
2 2016103
3 201687
4 201885
5 201880
6 202074
7 202158
8 201657
9 200554
10 201752
11 201946
12 201845
13 201139
14 202139
15 202133
16 201931
17 201828
18 201326
19 202125
20 202124

About Stéphanie J. E. Becker

Stéphanie J. E. Becker is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging, Genetics, Cancer Research and Hepatology, having authored 69 papers that have together received 1.5k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (34 papers), Medical Imaging Techniques and Applications (8 papers), Cancer Genomics and Diagnostics (5 papers), Chronic Lymphocytic Leukemia Research (5 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers), Peripheral Nerve Disorders (4 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Orthopedic Surgery and Rehabilitation (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (889 citations), Radiology, Nuclear Medicine and Imaging (415 citations), Cancer Research (210 citations), Oncology (343 citations) and Genetics (104 citations). Stéphanie J. E. Becker has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include Pierre Véra, Fabrice Jardin, Hervé Tilly, Anne‐Ségolène Cottereau, Michel Meignan, Hervé Tilly, Sylvain Mareschal, Hélène Lanic, Isabelle Gardin and Philippe Ruminy. Their work appears in journals such as European Journal of Nuclear Medicine and Molecular Imaging, Blood Advances, Hematological Oncology, EJNMMI Research and Blood.

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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