Csaba Hegedűs

31 total papers · 776 total citations
20 papers, 601 citations indexed

About

Csaba Hegedűs is a scholar working on Oncology, Molecular Biology and Surgery. According to data from OpenAlex, Csaba Hegedűs has authored 20 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 5 papers in Molecular Biology and 3 papers in Surgery. Recurrent topics in Csaba Hegedűs's work include PARP inhibition in cancer therapy (5 papers), Pancreatitis Pathology and Treatment (3 papers) and Vitamin C and Antioxidants Research (2 papers). Csaba Hegedűs is often cited by papers focused on PARP inhibition in cancer therapy (5 papers), Pancreatitis Pathology and Treatment (3 papers) and Vitamin C and Antioxidants Research (2 papers). Csaba Hegedűs collaborates with scholars based in Hungary, Egypt and Ukraine. Csaba Hegedűs's co-authors include László Virág, Katalin Kovács, Raja Ganesan, Thomas A. Kufer, Nirmal Robinson, Zsolt Regdon, Edina Bakondi, Máté Demény, György Balla and Karen Uray and has published in prestigious journals such as International Journal of Molecular Sciences, British Journal of Pharmacology and Molecules.

In The Last Decade

Csaba Hegedűs

20 papers receiving 598 citations

Author Peers

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

Author Last Decade Papers Cites
Csaba Hegedűs 326 117 107 76 62 20 601
Qingqiong Luo 280 0.9× 96 0.8× 138 1.3× 46 0.6× 50 0.8× 24 577
Seyed‐Mostafa Razavi 165 0.5× 139 1.2× 139 1.3× 115 1.5× 77 1.2× 25 609
Shanshan Jiang 334 1.0× 124 1.1× 63 0.6× 42 0.6× 67 1.1× 21 544
Shyun-Yeu Liu 228 0.7× 175 1.5× 188 1.8× 93 1.2× 34 0.5× 28 679
Shuodong Wu 297 0.9× 79 0.7× 96 0.9× 68 0.9× 73 1.2× 17 581
Tsuyoshi Nagata 213 0.7× 82 0.7× 103 1.0× 36 0.5× 73 1.2× 15 528
Lianjie Lin 297 0.9× 127 1.1× 108 1.0× 99 1.3× 22 0.4× 38 657
Birgit Knerer 173 0.5× 110 0.9× 59 0.6× 42 0.6× 98 1.6× 25 531
Tae‐Hyoun Kim 178 0.5× 69 0.6× 174 1.6× 40 0.5× 62 1.0× 21 523
Chao Deng 272 0.8× 98 0.8× 69 0.6× 79 1.0× 39 0.6× 38 540

Countries citing papers authored by Csaba Hegedűs

Since Specialization
Citations

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

Fields of papers citing papers by Csaba Hegedűs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Csaba Hegedűs

This figure shows the co-authorship network connecting the top 25 collaborators of Csaba Hegedűs. A scholar is included among the top collaborators of Csaba Hegedűs 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 Csaba Hegedűs. Csaba Hegedűs 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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