Jean‐Marc Riedinger

63 papers receiving 2.2k citations

Peers

Jean‐Marc Riedinger
Comparison fields: 5 of 103
  • Cancer Research 293
  • Biochemistry 113
  • Radiology, Nuclear Medicine and Imaging 404
  • Biochemistry 106
  • Surgery 582
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Xavier Durando France
Stuart J. Gallagher Australia
Cédric Szyndralewiez United States
Eric D. Bischoff United States
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PAUL D. MARONI United States
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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

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Predictive value for disease progression of serum thyroglobulin levels measured in the postoperative period and after (131)I ablation therapy in patients with differentiated thyroid cancer.
2004151
2 2007150
3 2006108
4 2015103
5 2015102
6 2012100
7 200888
8 200686
9 201280
10 201674
11 201371
12 201370
13 201268
14 200660
15 201460
16 201555
17 199950
18 201649
19 201148
20 201547

About Jean‐Marc Riedinger

Jean‐Marc Riedinger is a scholar working on Cancer Research, Oncology, Pathology and Forensic Medicine, Molecular Biology and Radiology, Nuclear Medicine and Imaging, having authored 66 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (9 papers), Peroxisome Proliferator-Activated Receptors (9 papers), Breast Cancer Treatment Studies (8 papers), Medical Imaging Techniques and Applications (6 papers), Sphingolipid Metabolism and Signaling (5 papers), Ovarian cancer diagnosis and treatment (4 papers), HER2/EGFR in Cancer Research (4 papers) and Adipose Tissue and Metabolism (4 papers). The work is most often cited by research in Cancer Research (293 citations), Biochemistry (113 citations), Radiology, Nuclear Medicine and Imaging (404 citations), Biochemistry (106 citations) and Surgery (582 citations). Jean‐Marc Riedinger has collaborated with scholars based in France, Tunisia and United States. Frequent co-authors include Gérard Hubert LIZARD, Anne Véjux, Alexandre Cochet, Alina Berriolo-Riedinger, François Brunotte, Amira Zarrouk, Thomas Nury, Bruno P. Coudert, Michel Toubeau and P. Fumoleau. Their work appears in journals such as Cytometry Part A, International Journal of Oncology, European Journal of Nuclear Medicine and Molecular Imaging, PLoS ONE 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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