Dimitris Kardassis

5.3k citations
122 papers · 4.4k · h-index 38

Impact in

Papers in

    • Peroxisome Proliferator-Activated Receptors 16
    • TGF-β signaling in diseases 15
    • Retinoids in leukemia and cellular processes 10
    • Cholesterol and Lipid Metabolism 30

Dimitris Kardassis

121 papers receiving 4.3k citations

Peers

Dimitris Kardassis
Comparison fields: 5 of 115
  • Cancer Research 604
  • Molecular Biology 2.6k
  • Oncology 932
  • Endocrinology, Diabetes and Metabolism 496
  • Biochemistry 177
Replace Mitsuru Emi with:
Mitsuru Emi Japan
Bangyan L. Stiles United States
Katherine T. Landschulz United States
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Yasuko Kureishi Japan
Youngkyu Park South Korea
Toshiya Tanaka Japan
Edward B. Neufeld United States
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Citations per field
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Citations per year

Countries citing papers authored by Dimitris Kardassis

Since Specialization
Citations

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

Fields of papers citing papers by Dimitris Kardassis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 122 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000340
2 1998310
3 1992289
4 1999169
5 2001138
6 201195
7 200891
8 200987
9 201487
10 201276
11 200169
12 200269
13 199968
14 200765
15 200864
16 199361
17 200560
18 200460
19 200460
20 200759

About Dimitris Kardassis

Dimitris Kardassis is a scholar working on Molecular Biology, Surgery, Oncology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 122 papers that have together received 4.4k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (30 papers), Peroxisome Proliferator-Activated Receptors (16 papers), TGF-β signaling in diseases (15 papers), Lipid metabolism and disorders (12 papers), Retinoids in leukemia and cellular processes (10 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (10 papers), Drug Transport and Resistance Mechanisms (10 papers) and Lipid metabolism and biosynthesis (10 papers). The work is most often cited by research in Cancer Research (604 citations), Molecular Biology (2.6k citations), Oncology (932 citations), Endocrinology, Diabetes and Metabolism (496 citations) and Biochemistry (177 citations). Dimitris Kardassis has collaborated with scholars based in Greece, United States and Sweden. Frequent co-authors include Aristidis Moustakas, Vassilis I. Zannis, Katerina Pardali, Paraskevi Papakosta, George Koutsodontis, Margarita Hadzopoulou‐Cladaras, Christos Cladaras, Christos Stournaras, Philippe Cardot and Anita Morén. Their work appears in journals such as Journal of Biological Chemistry, Biochemistry, Metabolism, Journal of Lipid Research and Biochemical and Biophysical Research Communications.

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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