Gergely Fehér

78 papers receiving 1.6k citations

Peers

Gergely Fehér
Comparison fields: 5 of 139
  • Geriatrics and Gerontology 173
  • Internal Medicine 133
  • Cardiology and Cardiovascular Medicine 438
  • Biochemistry 79
  • Neurology 84
Replace László Czopf with:
László Czopf Hungary
Alfredo Postiglione Italy
Rufus Akinyemi Nigeria
Jawahar L. Mehta United States
Mia von Euler Sweden
Peter Cheung Singapore
Cuiling Wang China
John Orazem United States
Shane A. Phillips United States
Yuqing Zhang China
Gergely Fehér relative to László Czopf Hungary László Czopf's profile →
Citations per field
00.5×7.6×
László Czopf · 1×
Citations per year

Countries citing papers authored by Gergely Fehér

Since Specialization
Citations

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

Fields of papers citing papers by Gergely Fehér

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 88 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012299
2 2013149
3 201782
4 200867
5 202156
6 202255
7 200652
8 200550
9 202249
10 201049
11
GSTM, GSTT and p53 polymorphisms as modifiers of clinical outcome in colorectal cancer.
200839
12 200637
13 201136
14
Viscosity, hemostasis and inflammation in atherosclerotic heart diseases.
200636
15 200736
16 202136
17 202135
18 201533
19 202131
20
Hemorheological parameters and aging.
200625

About Gergely Fehér

Gergely Fehér is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Surgery, Sociology and Political Science and Endocrinology, Diabetes and Metabolism, having authored 88 papers that have together received 1.7k indexed citations. Recurring topics across this work include Antiplatelet Therapy and Cardiovascular Diseases (15 papers), Impact of Technology on Adolescents (13 papers), Blood properties and coagulation (13 papers), Venous Thromboembolism Diagnosis and Management (9 papers), Acute Ischemic Stroke Management (9 papers), Workplace Health and Well-being (7 papers), Cerebrovascular and Carotid Artery Diseases (7 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (7 papers). The work is most often cited by research in Geriatrics and Gerontology (173 citations), Internal Medicine (133 citations), Cardiology and Cardiovascular Medicine (438 citations), Biochemistry (79 citations) and Neurology (84 citations). Gergely Fehér has collaborated with scholars based in Hungary, United Kingdom and United States. Frequent co-authors include Kálmán Tóth, Gabriella Pusch, Antal Tibold, Katalin Koltai, Gábor Késmárky, László Czopf, László Szapáry, Sámuel Komoly, Balázs Sümegi and Edit Bosnyák. Their work appears in journals such as International Journal of Environmental Research and Public Health, BMC Public Health, International Journal of Cardiology, Journal of Multidisciplinary Healthcare and Frontiers in Public Health.

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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