Denis Mathé

1.8k citations
58 papers · 1.5k · h-index 21

Impact in

Papers in

    • Cholesterol and Lipid Metabolism 17
    • Lipoproteins and Cardiovascular Health 6
    • Cancer, Lipids, and Metabolism 7

Denis Mathé

57 papers receiving 1.4k citations

Peers

Denis Mathé
Comparison fields: 5 of 107
  • Endocrinology, Diabetes and Metabolism 272
  • Radiology, Nuclear Medicine and Imaging 370
  • Otorhinolaryngology 61
  • Cancer Research 197
  • Surgery 449
Replace Matthias Woenckhaus with:
Matthias Woenckhaus Germany
S. Schulz Germany
Jesus H. Dominguez United States
Wei An China
Jinlong Wei China
Yongsheng Zhang China
M Sulkowska Poland
Ayhan Özcan Türkiye
Jian Dong China
Maren Luchtefeld Germany
Denis Mathé relative to Matthias Woenckhaus Germany Matthias Woenckhaus's profile →
Citations per field
00.5×6.1×
Matthias Woenckhaus · 1×
Citations per year

Countries citing papers authored by Denis Mathé

Since Specialization
Citations

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

Fields of papers citing papers by Denis Mathé

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004160
2 2007101
3
Dyslipidemia and diabetes: animal models.
199590
4 200384
5 200578
6 200374
7 200557
8 200455
9 200454
10 197653
11 197753
12 200540
13 199339
14 199434
15 198833
16 198930
17 199827
18
Prevalence of dyslipidemia in liver transplant recipients.
199227
19 199126
20 200122

About Denis Mathé

Denis Mathé is a scholar working on Surgery, Cancer Research, Oncology, Molecular Biology and Endocrinology, Diabetes and Metabolism, having authored 58 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (17 papers), Drug Transport and Resistance Mechanisms (9 papers), Effects of Radiation Exposure (8 papers), Cancer, Lipids, and Metabolism (7 papers), Diet and metabolism studies (7 papers), Diet, Metabolism, and Disease (7 papers), Liver Disease Diagnosis and Treatment (6 papers) and Lipoproteins and Cardiovascular Health (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (272 citations), Radiology, Nuclear Medicine and Imaging (370 citations), Otorhinolaryngology (61 citations), Cancer Research (197 citations) and Surgery (449 citations). Denis Mathé has collaborated with scholars based in France, United States and Belgium. Frequent co-authors include F Chevallier, Marie‐Catherine Vozenin, Christine Linard, Jean Bourhis, J. Aigueperse, C. Lutton, C. Marquette, Didier Clarençon, Jacques R.R. Mathieu and Antoine Lusinchi. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Journal of Nutrition, Atherosclerosis, Journal of Clinical Biochemistry and Nutrition and Radiation Research.

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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