Gergely Fehér

135 total papers · 2.4k total citations
88 papers, 1.6k citations indexed

About

Gergely Fehér is a scholar working on Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Gergely Fehér has authored 88 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cardiology and Cardiovascular Medicine, 19 papers in Pulmonary and Respiratory Medicine and 15 papers in Surgery. Recurrent topics in Gergely Fehér's work include Antiplatelet Therapy and Cardiovascular Diseases (15 papers), Blood properties and coagulation (13 papers) and Impact of Technology on Adolescents (13 papers). Gergely Fehér is often cited by papers focused on Antiplatelet Therapy and Cardiovascular Diseases (15 papers), Blood properties and coagulation (13 papers) and Impact of Technology on Adolescents (13 papers). Gergely Fehér collaborates with scholars based in Hungary, United Kingdom and United States. Gergely Fehér's co-authors include Kálmán Tóth, Gabriella Pusch, Antal Tibold, Katalin Koltai, Gábor Késmárky, László Czopf, László Szapáry, Sámuel Komoly, Balázs Sümegi and Klara Magyar and has published in prestigious journals such as Scientific Reports, International Journal of Molecular Sciences and International Journal of Environmental Research and Public Health.

In The Last Decade

Gergely Fehér

76 papers receiving 1.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Gergely Fehér	434	233	219	214	200	88	1.6k
László Czopf	302 0.7×	204 0.9×	229 1.0×	200 0.9×	123 0.6×	45	1.3k
Thomas O. Obisesan	396 0.9×	481 2.1×	209 1.0×	186 0.9×	224 1.1×	84	2.0k
Alfredo Postiglione	246 0.6×	275 1.2×	265 1.2×	177 0.8×	189 0.9×	56	1.5k
Josip A. Borovac	597 1.4×	168 0.7×	331 1.5×	331 1.5×	195 1.0×	112	1.6k
Ping Liu	324 0.7×	167 0.7×	174 0.8×	387 1.8×	477 2.4×	119	1.9k
Urvi Desai	185 0.4×	411 1.8×	331 1.5×	193 0.9×	128 0.6×	76	2.0k
Xuesong Wang	618 1.4×	155 0.7×	314 1.4×	195 0.9×	158 0.8×	92	1.6k
Eitaro Kodani	786 1.8×	220 0.9×	201 0.9×	206 1.0×	118 0.6×	87	1.7k
Silvia Stella Barbieri	413 1.0×	353 1.5×	217 1.0×	679 3.2×	203 1.0×	79	2.2k
C Hooft	734 1.7×	244 1.0×	183 0.8×	397 1.9×	141 0.7×	95	2.1k

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-authorship network of co-authors of Gergely Fehér

This figure shows the co-authorship network connecting the top 25 collaborators of Gergely Fehér. A scholar is included among the top collaborators of Gergely Fehér 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 Gergely Fehér. Gergely Fehér is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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