Thomas Nury

3.1k citations
68 papers · 2.3k · h-index 32

Impact in

Papers in

    • Peroxisome Proliferator-Activated Receptors 24
    • Sphingolipid Metabolism and Signaling 11
    • Cholesterol and Lipid Metabolism 34

Thomas Nury

68 papers receiving 2.3k citations

Peers

Thomas Nury
Comparison fields: 5 of 108
  • Biochemistry 219
  • Biochemistry 177
  • Geriatrics and Gerontology 72
  • Surgery 905
  • Biological Psychiatry 45
Replace Amira Zarrouk with:
Amira Zarrouk Tunisia
Emma Barroso Spain
Paola Gamba Italy
Shao‐Hua Fan China
Markus Tiedge Germany
Hyeon Soo Kim South Korea
Mohammad Samadi Iran
Wonchae Choe South Korea
Rosalía Rodríguez‐Rodríguez Spain
Gil‐Saeng Jeong South Korea
Thomas Nury relative to Amira Zarrouk Tunisia Amira Zarrouk's profile →
Citations per field
00.5×1.5×
Amira Zarrouk · 1×
Citations per year

Countries citing papers authored by Thomas Nury

Since Specialization
Citations

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

Fields of papers citing papers by Thomas Nury

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201594
2 201293
3 201389
4 201381
5 202276
6 201974
7 202066
8 201966
9 201365
10 201665
11 201264
12 201663
13 201763
14 201958
15 201857
16 202056
17 201451
18 201650
19 201746
20 201846

About Thomas Nury

Thomas Nury is a scholar working on Molecular Biology, Surgery, Physiology, Nutrition and Dietetics and Biochemistry, having authored 68 papers that have together received 2.3k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (34 papers), Peroxisome Proliferator-Activated Receptors (24 papers), Sphingolipid Metabolism and Signaling (11 papers), Adipose Tissue and Metabolism (10 papers), Antioxidant Activity and Oxidative Stress (8 papers), Fatty Acid Research and Health (7 papers), Lipid metabolism and biosynthesis (6 papers) and Neuroinflammation and Neurodegeneration Mechanisms (5 papers). The work is most often cited by research in Biochemistry (219 citations), Biochemistry (177 citations), Geriatrics and Gerontology (72 citations), Surgery (905 citations) and Biological Psychiatry (45 citations). Thomas Nury has collaborated with scholars based in France, Tunisia and Morocco. Frequent co-authors include Gérard Lizard, Anne Véjux, Amira Zarrouk, Jean‐Marc Riedinger, Thibault Moreau, John J. Mackrill, Mohammad Samadi, Aline Yammine, Mohamed Hammami and Mustapha Cherkaoui‐Malki. Their work appears in journals such as The Journal of Steroid Biochemistry and Molecular Biology, Biochimie, Steroids, International Journal of Molecular Sciences and Environmental Science and Pollution 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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