Marián Kukan

19 total papers · 474 total citations
16 papers, 376 citations indexed

About

Marián Kukan is a scholar working on Hepatology, Surgery and Pathology and Forensic Medicine. According to data from OpenAlex, Marián Kukan has authored 16 papers receiving a total of 376 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Hepatology, 8 papers in Surgery and 4 papers in Pathology and Forensic Medicine. Recurrent topics in Marián Kukan's work include Organ Transplantation Techniques and Outcomes (8 papers), Liver Disease and Transplantation (8 papers) and Liver physiology and pathology (4 papers). Marián Kukan is often cited by papers focused on Organ Transplantation Techniques and Outcomes (8 papers), Liver Disease and Transplantation (8 papers) and Liver physiology and pathology (4 papers). Marián Kukan collaborates with scholars based in Slovakia, Bulgaria and Netherlands. Marián Kukan's co-authors include Pierre S. Haddad, Katarı́na Vajdová, Anton Kebis, Albena Alexandrova, Ladislava Wsólová, Csilla Mišľanová, Peter Boor, Katarı́na Šebeková, Peter Celec and Nadežda Prónayová and has published in prestigious journals such as Hepatology, Journal of Hepatology and Metabolism.

In The Last Decade

Marián Kukan

16 papers receiving 369 citations

Author Peers

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

Author Last Decade Papers Cites
Marián Kukan 186 152 66 62 50 16 376
Stanley J. Wolfe 65 0.3× 108 0.7× 130 2.0× 78 1.3× 34 0.7× 11 412
Ryan N. Fiorini 164 0.9× 136 0.9× 128 1.9× 65 1.0× 69 1.4× 16 356
Diego Reino 83 0.4× 90 0.6× 88 1.3× 40 0.6× 80 1.6× 12 424
M. Mendes-Braz 201 1.1× 171 1.1× 142 2.2× 46 0.7× 99 2.0× 12 400
Hasselgren Po 107 0.6× 79 0.5× 46 0.7× 87 1.4× 98 2.0× 23 366
R. J. Holloway 118 0.6× 92 0.6× 129 2.0× 46 0.7× 49 1.0× 11 381
Pamela Romanque 100 0.5× 97 0.6× 98 1.5× 65 1.0× 128 2.6× 20 427
Natalie Sonin 114 0.6× 164 1.1× 94 1.4× 115 1.9× 72 1.4× 10 353
Lisa Pasterk 66 0.4× 37 0.2× 101 1.5× 68 1.1× 109 2.2× 17 378
Ting Wang 92 0.5× 112 0.7× 103 1.6× 68 1.1× 149 3.0× 22 382

Countries citing papers authored by Marián Kukan

Since Specialization
Citations

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

Fields of papers citing papers by Marián Kukan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marián Kukan

This figure shows the co-authorship network connecting the top 25 collaborators of Marián Kukan. A scholar is included among the top collaborators of Marián Kukan 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 Marián Kukan. Marián Kukan 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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2026