Jean‐Marc Riedinger

2.7k citations
72 papers · 2.1k indexed · h-index 27

Impact in

Papers in

Jean‐Marc Riedinger

69 papers receiving 2.1k citations

Peers

Jean‐Marc Riedinger
Comparison fields: 5 of 104
  • Cancer Research 402
  • Radiology, Nuclear Medicine and Imaging 509
  • Biochemistry 108
  • Biochemistry 107
  • Surgery 628
Replace Makoto Usui with:
Makoto Usui Japan
Robert L. Wolfert United States
Xavier Durando France
Naveen Vasudev United Kingdom
Stuart Gallagher Australia
Norma Frizzell United States
Alison F. Munro United Kingdom
Luca Messerini Italy
Theodoros Tsakiridis Canada
Arno Schad Germany
Jean‐Marc Riedinger relative to Makoto Usui Japan Makoto Usui's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jean‐Marc Riedinger

Since Specialization
Citations

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

Fields of papers citing papers by Jean‐Marc Riedinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jean‐Marc Riedinger. 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 Jean‐Marc Riedinger. The network helps show where Jean‐Marc Riedinger may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20237
2 20201
3 201911
4 201824
5 20175
6 20176
7 20165
8 201627
9 201662
10 201551
11 20152
12 201362
13 201263
14 201273
15 201292
16 201234
17 2007140
18 200682
19
Conseil pour la gestion des déchets solides contaminés par des urines de patients après administration de radiopharmaceutiques
20030
20 19979

About Jean‐Marc Riedinger

Jean‐Marc Riedinger is a scholar working on Cancer Research, Reproductive Medicine, Oncology, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 72 papers that have together received 2.1k indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (12 papers), Cholesterol and Lipid Metabolism (11 papers), Breast Cancer Treatment Studies (11 papers), Peroxisome Proliferator-Activated Receptors (10 papers), HER2/EGFR in Cancer Research (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Genetic factors in colorectal cancer (6 papers) and Ovarian cancer diagnosis and treatment (6 papers). The work is most often cited by research in Cancer Research (402 citations), Radiology, Nuclear Medicine and Imaging (509 citations), Biochemistry (108 citations), Biochemistry (107 citations) and Surgery (628 citations). Jean‐Marc Riedinger has collaborated with scholars based in France, Tunisia and United States. Frequent co-authors include Gérard Lizard, Anne Véjux, Alexandre Cochet, François Brunotte, Amira Zarrouk, Alina Berriolo-Riedinger, Thomas Nury, Bruno Coudert, Michel Toubeau and P. Fumoleau. Their work appears in journals such as International Journal of Oncology, European Journal of Nuclear Medicine and Molecular Imaging, Cytometry Part A, Clinical Cancer Research and Annals of Oncology.

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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