Joan Tordjman
- Physiology top 0.5%
- Adipose Tissue and Metabolism 25
- Epidemiology top 0.5%
- Adipokines, Inflammation, and Metabolic Diseases 27
- Liver Disease Diagnosis and Treatment 19
- Hepatology top 2%
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- Cardiovascular Disease and Adiposity 21
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- Diet, Metabolism, and Disease 5
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- Lipid metabolism and biosynthesis 8
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- Peroxisome Proliferator-Activated Receptors 7
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- Body Contouring and Surgery 6
- Co-authors
- Karine ClémentChristine PoitouPierre BédossaArnaud BasdevantKai SunJean‐Luc BouillotMichèle Guerre-MilloNicolas Veyrie
- Cited by
- PhysiologyEpidemiologyHepatology
- Journals
- Journal of Biological Chemistry (3 papers)PLoS ONE (2 papers)American Journal of Clinical Nutrition (1 paper)
- Partner nations
- FranceUnited StatesUnited Kingdom
In The Last Decade
Joan Tordjman
59 papers receiving 6.2k citations
Hit Papers
Peers
Comparison fields: 5 of 123
- Physiology 2.8k
- Epidemiology 3.7k
- Hepatology 512
- Cardiology and Cardiovascular Medicine 1.3k
- Endocrinology, Diabetes and Metabolism 873
Countries citing papers authored by Joan Tordjman
This map shows the geographic impact of Joan Tordjman'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 Joan Tordjman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joan Tordjman more than expected).
Fields of papers citing papers by Joan Tordjman
This network shows the impact of papers produced by Joan Tordjman. 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 Joan Tordjman. The network helps show where Joan Tordjman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Joan Tordjman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2017 | 95 | |
| 3 | 2017 | 65 | |
| 4 | 2016 | 36 | |
| 5 | 2016 | 23 | |
| 6 | 2015 | 123 | |
| 7 | 2013 | 45 | |
| 8 | Histology of normal and pathological white adipose tissue | 2013 | 0 |
| 9 | Fibrosis and Adipose Tissue Dysfunctionbreakdown → | 2013 | 718 |
| 10 | 2013 | 28 | |
| 11 | 2012 | 39 | |
| 12 | 2012 | 139 | |
| 13 | 2011 | 21 | |
| 14 | 2011 | 1 | |
| 15 | Fibrosis in Human Adipose Tissue: Composition, Distribution, and Link With Lipid Metabolism and Fat Mass Lossbreakdown → | 2010 | 447 |
| 16 | 2008 | 345 | |
| 17 | 2008 | 59 | |
| 18 | 2008 | 53 | |
| 19 | 2007 | 16 | |
| 20 | 2005 | 38 |
About Joan Tordjman
Joan Tordjman is a scholar working on Epidemiology, Biochemistry and Physiology, having authored 60 papers that have together received 6.3k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (27 papers), Adipose Tissue and Metabolism (25 papers), Cardiovascular Disease and Adiposity (21 papers), Liver Disease Diagnosis and Treatment (19 papers), Lipid metabolism and biosynthesis (8 papers), Peroxisome Proliferator-Activated Receptors (7 papers), Body Contouring and Surgery (6 papers) and Diet, Metabolism, and Disease (5 papers). The work is most often cited by research in Physiology (2.8k citations), Epidemiology (3.7k citations) and Hepatology (512 citations). Joan Tordjman has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Karine Clément, Christine Poitou, Pierre Bédossa, Arnaud Basdevant, Kai Sun, Jean‐Luc Bouillot, Michèle Guerre-Millo, Nicolas Veyrie, Danielle Hugol and Judith Aron‐Wisnewsky. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and American Journal of Clinical Nutrition.
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.