Tamás Kaucsár

51 total papers · 1.2k total citations
24 papers, 802 citations indexed

About

Tamás Kaucsár is a scholar working on Molecular Biology, Nephrology and Cancer Research. According to data from OpenAlex, Tamás Kaucsár has authored 24 papers receiving a total of 802 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Nephrology and 9 papers in Cancer Research. Recurrent topics in Tamás Kaucsár's work include Acute Kidney Injury Research (8 papers), MicroRNA in disease regulation (8 papers) and Ultrasound and Hyperthermia Applications (4 papers). Tamás Kaucsár is often cited by papers focused on Acute Kidney Injury Research (8 papers), MicroRNA in disease regulation (8 papers) and Ultrasound and Hyperthermia Applications (4 papers). Tamás Kaucsár collaborates with scholars based in Hungary, Germany and Slovenia. Tamás Kaucsár's co-authors include Péter Hamar, Gábor Szénási, Thomas Thum, Anika Hübner, Mária Godó, Johan M. Lorenzen, Malte Kölling, Tibor Krenács, Celina Schauerte and Kristian Scherf and has published in prestigious journals such as PLoS ONE, Advanced Drug Delivery Reviews and Scientific Reports.

In The Last Decade

Tamás Kaucsár

23 papers receiving 790 citations

Author Peers

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

Author Last Decade Papers Cites
Tamás Kaucsár 407 309 180 68 64 24 802
Chunming Jiang 403 1.0× 219 0.7× 80 0.4× 75 1.1× 8 0.1× 37 783
Shang‐Lun Chiang 399 1.0× 231 0.7× 112 0.6× 81 1.2× 8 0.1× 31 970
Ghada Al‐Kafaji 464 1.1× 292 0.9× 39 0.2× 45 0.7× 15 0.2× 36 729
Ya‐Hsueh Shih 300 0.7× 101 0.3× 260 1.4× 101 1.5× 19 0.3× 29 977
Giulio Kleiner 566 1.4× 117 0.4× 29 0.2× 77 1.1× 13 0.2× 32 970
Takeshi Satoh 252 0.6× 51 0.2× 148 0.8× 215 3.2× 38 0.6× 27 796
Jun Yao 423 1.0× 80 0.3× 114 0.6× 67 1.0× 10 0.2× 28 897
Chuanjiang Li 421 1.0× 255 0.8× 70 0.4× 143 2.1× 5 0.1× 39 938
Yan Zhang 437 1.1× 201 0.7× 94 0.5× 69 1.0× 8 0.1× 30 842
Martin Tiefenthaler 395 1.0× 41 0.1× 43 0.2× 99 1.5× 15 0.2× 41 962

Countries citing papers authored by Tamás Kaucsár

Since Specialization
Citations

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

Fields of papers citing papers by Tamás Kaucsár

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamás Kaucsár

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