Joan Tordjman

8.6k citations
60 papers · 6.3k indexed · 3 hit papers · h-index 39
Topics
Adipokines, Inflammation, and Metabolic Diseases (27 papers)Adipose Tissue and Metabolism (25 papers)Cardiovascular Disease and Adiposity (21 papers)

In The Last Decade

Joan Tordjman

59 papers receiving 6.2k citations

Hit Papers

Fibrosis and Adipose Tissue Dysfunction2010202620152020201320122010200400600

Peers

Joan Tordjman
Comparison fields: 5 of 123
  • Epidemiology 3.7k
  • Physiology 2.8k
  • Molecular Biology 1.4k
  • Cardiology and Cardiovascular Medicine 1.3k
  • Surgery 902
Replace Christa Buechler with:
Christa Buechler Germany
Jun‐ichiro Miyagawa Japan
Shiqi Yang United States
Nicola Santoro United States
Hiroyuki Nagaretani Japan
Henrike Sell Germany
Victoria Catalán Spain
Amaia Rodrı́guez Spain
José María Moreno‐Navarrete Spain
Norikazu Maeda Japan
Joan Tordjman relative to Christa Buechler Germany Christa Buechler's profile →
Citations per field
00.5×1.5×
Christa Buechler · 1×
Citations per year

Countries citing papers authored by Joan Tordjman

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Joan Tordjman

This figure shows the co-authorship network connecting the top 25 collaborators of Joan Tordjman. A scholar is included among the top collaborators of Joan Tordjman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Joan Tordjman. Joan Tordjman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 95
3 65
4 36
5 23
6 123
7 45
8
Histology of normal and pathological white adipose tissue
0
9
Fibrosis and Adipose Tissue Dysfunctionbreakdown →
718
10 28
11 39
12 139
13 21
14 1
15
Fibrosis in Human Adipose Tissue: Composition, Distribution, and Link With Lipid Metabolism and Fat Mass Lossbreakdown →
447
16 345
17 59
18 53
19 16
20 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) and Cardiovascular Disease and Adiposity (21 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.

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