Margit Tökés‐Füzesi

37 total papers · 629 total citations
26 papers, 491 citations indexed

About

Margit Tökés‐Füzesi is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Hematology. According to data from OpenAlex, Margit Tökés‐Füzesi has authored 26 papers receiving a total of 491 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 7 papers in Cardiology and Cardiovascular Medicine and 5 papers in Hematology. Recurrent topics in Margit Tökés‐Füzesi's work include Antiplatelet Therapy and Cardiovascular Diseases (6 papers), Platelet Disorders and Treatments (4 papers) and Venous Thromboembolism Diagnosis and Management (4 papers). Margit Tökés‐Füzesi is often cited by papers focused on Antiplatelet Therapy and Cardiovascular Diseases (6 papers), Platelet Disorders and Treatments (4 papers) and Venous Thromboembolism Diagnosis and Management (4 papers). Margit Tökés‐Füzesi collaborates with scholars based in Hungary, United States and Denmark. Margit Tökés‐Füzesi's co-authors include András Komócsi, Tamás Magyarlaki, Orsolya Rideg, Dániel Aradi, András Vorobcsuk, Gábor L. Kovaćs, Iván Horváth, Victor L. Serebruany, Attila Miseta and I. Vermes and has published in prestigious journals such as Molecular Microbiology, American Heart Journal and BMJ Open.

In The Last Decade

Margit Tökés‐Füzesi

23 papers receiving 485 citations

Author Peers

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

Author Last Decade Papers Cites
Margit Tökés‐Füzesi 245 146 120 73 52 26 491
Stefano Lucreziotti 310 1.3× 142 1.0× 60 0.5× 32 0.4× 63 1.2× 36 547
Georg Gelbenegger 122 0.5× 89 0.6× 73 0.6× 50 0.7× 37 0.7× 42 495
Ksenija Stach 270 1.1× 82 0.6× 34 0.3× 58 0.8× 42 0.8× 35 502
Julian Friebel 121 0.5× 81 0.6× 204 1.7× 31 0.4× 98 1.9× 27 528
Katsumi Nakagawa 157 0.6× 66 0.5× 83 0.7× 38 0.5× 35 0.7× 18 404
Susanna Fiorelli 86 0.4× 78 0.5× 145 1.2× 31 0.4× 103 2.0× 26 467
Michal Droppa 301 1.2× 132 0.9× 40 0.3× 49 0.7× 34 0.7× 38 422
Carlos Fondevila 267 1.1× 82 0.6× 76 0.6× 130 1.8× 134 2.6× 18 537
Paola Canzano 81 0.3× 71 0.5× 105 0.9× 60 0.8× 59 1.1× 21 430
Cafer Adıgüzel 186 0.8× 99 0.7× 39 0.3× 180 2.5× 21 0.4× 40 464

Countries citing papers authored by Margit Tökés‐Füzesi

Since Specialization
Citations

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

Fields of papers citing papers by Margit Tökés‐Füzesi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Margit Tökés‐Füzesi. 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 Margit Tökés‐Füzesi. The network helps show where Margit Tökés‐Füzesi may publish in the future.

Co-authorship network of co-authors of Margit Tökés‐Füzesi

This figure shows the co-authorship network connecting the top 25 collaborators of Margit Tökés‐Füzesi. A scholar is included among the top collaborators of Margit Tökés‐Füzesi 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 Margit Tökés‐Füzesi. Margit Tökés‐Füzesi 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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