Efrosini Setakis

1.5k citations
29 papers · 1.0k · h-index 16

Impact in

Papers in

Efrosini Setakis

29 papers receiving 1.0k citations

Peers

Efrosini Setakis
Comparison fields: 5 of 94
  • Internal Medicine 109
  • Cardiology and Cardiovascular Medicine 436
  • Pathology and Forensic Medicine 156
  • Immunology 123
  • Rheumatology 75
Replace Jayashree Shanker with:
Jayashree Shanker United Kingdom
Lars Eikvar Norway
Daniel Bulut Germany
Mei Zhang China
R Dechend Germany
Sylvia Handler Austria
NF Voelkel United States
Saloua El Messaoudi Netherlands
Anne Q. Reuwer Netherlands
Fone‐Ching Hsiao Taiwan
Efrosini Setakis relative to Jayashree Shanker United Kingdom Jayashree Shanker's profile →
Citations per field
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Jayashree Shanker · 1×
Citations per year

Countries citing papers authored by Efrosini Setakis

Since Specialization
Citations

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

Fields of papers citing papers by Efrosini Setakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011257
2 2010202
3 200291
4 200586
5 201042
6 200834
7 201031
8 200330
9 200629
10 201726
11 200325
12 200322
13 200320
14 200919
15 200816
16 200315
17 201911
18 200311
19 200311
20 200310

About Efrosini Setakis

Efrosini Setakis is a scholar working on Pathology and Forensic Medicine, Immunology, Cardiology and Cardiovascular Medicine, Genetics and Plant Science, having authored 29 papers that have together received 1.0k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (11 papers), T-cell and B-cell Immunology (6 papers), T-cell and Retrovirus Studies (5 papers), Viral Infections and Immunology Research (4 papers), Genetic Associations and Epidemiology (4 papers), Inflammatory mediators and NSAID effects (3 papers), Chromosomal and Genetic Variations (3 papers) and Wheat and Barley Genetics and Pathology (3 papers). The work is most often cited by research in Internal Medicine (109 citations), Cardiology and Cardiovascular Medicine (436 citations), Pathology and Forensic Medicine (156 citations), Immunology (123 citations) and Rheumatology (75 citations). Efrosini Setakis has collaborated with scholars based in United Kingdom, Netherlands and Iceland. Frequent co-authors include Tjeerd van Staa, Arlene M. Gallagher, Jonathan Plumb, Andreas Clemens, Deirdre A. Lane, Gregory Y.H. Lip, Gian Luca Di Tanna, Heide A. Stirnadel, David J. Balding and Frank de Vries. Their work appears in journals such as Journal of Neuroimmunology, International Journal for Population Data Science, Thrombosis and Haemostasis, British Journal of Clinical Pharmacology and Journal of the American Society of Nephrology.

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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