Orsolya Tímár

694 citations
10 papers · 542 · h-index 9

Impact in

Papers in

Orsolya Tímár

10 papers receiving 520 citations

Peers

Orsolya Tímár
Comparison fields: 5 of 69
  • Pathology and Forensic Medicine 155
  • Rheumatology 109
  • Immunology 126
  • Cardiology and Cardiovascular Medicine 87
  • Endocrinology, Diabetes and Metabolism 43
Replace Vincenzo Paoletti with:
Vincenzo Paoletti Italy
Antonella Marcoccia Italy
V. Votteas Greece
Connie Karschimkus Australia
Joseph Nassif Lebanon
Bernat Galarraga United Kingdom
Ayşen Akalın Türkiye
Hiroshi Tatsukawa Japan
Pedro Rozas-Moreno Spain
Refik Ali Sarı Türkiye
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Citations per field
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Vincenzo Paoletti · 1×
Citations per year

Countries citing papers authored by Orsolya Tímár

Since Specialization
Citations

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

Fields of papers citing papers by Orsolya Tímár

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1
Metabolic syndrome X: a review.
2000146
2 2007106
3 201186
4 200673
5
Increased arterial stiffness as the marker of vascular involvement in systemic sclerosis.
200843
6 201632
7 201332
8 200715
9 20198
10 20121

About Orsolya Tímár

Orsolya Tímár is a scholar working on Pathology and Forensic Medicine, Immunology, Epidemiology, Rheumatology and Internal Medicine, having authored 10 papers that have together received 542 indexed citations. Recurring topics across this work include Systemic Sclerosis and Related Diseases (5 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Systemic Lupus Erythematosus Research (2 papers), Venous Thromboembolism Diagnosis and Management (1 paper), T-cell and B-cell Immunology (1 paper), Diet, Metabolism, and Disease (1 paper) and Rheumatoid Arthritis Research and Therapies (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (155 citations), Rheumatology (109 citations), Immunology (126 citations), Cardiology and Cardiovascular Medicine (87 citations) and Endocrinology, Diabetes and Metabolism (43 citations). Orsolya Tímár has collaborated with scholars based in Hungary, United States and Norway. Frequent co-authors include E Lévy, F Sestier, Pál Soltész, Gabriella Szűcs, Zoltán Szekanecz, Henrietta Dér, György Kerekes, Szilvia Szamosi, G. Szegedi and Péter Szodoray. Their work appears in journals such as Lara D. Veeken, Arthritis Research & Therapy, Scandinavian Journal of Immunology, Annals of the Rheumatic Diseases and Autoimmunity Reviews.

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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