Katalin Pálfi

17 total papers · 511 total citations
10 papers, 368 citations indexed

About

Katalin Pálfi is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Katalin Pálfi has authored 10 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Immunology and 3 papers in Cancer Research. Recurrent topics in Katalin Pálfi's work include RNA Research and Splicing (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers) and Cancer-related molecular mechanisms research (2 papers). Katalin Pálfi is often cited by papers focused on RNA Research and Splicing (2 papers), Hippo pathway signaling and YAP/TAZ (2 papers) and Cancer-related molecular mechanisms research (2 papers). Katalin Pálfi collaborates with scholars based in Germany, United States and France. Katalin Pálfi's co-authors include Katrin Schröder, Ralf P. Brandes, Rudi Busse, Karl‐Heinz Krause, Marco Giaisi, Min Li‐Weber, Andreas Weigert, Valeska Helfinger, Peter H. Krammer and Monika K. Treiber and has published in prestigious journals such as The Journal of Immunology, Scientific Reports and Arteriosclerosis Thrombosis and Vascular Biology.

In The Last Decade

Katalin Pálfi

10 papers receiving 364 citations

Author Peers

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

Author Last Decade Papers Cites
Katalin Pálfi 173 169 91 49 26 10 368
M.C. D’Alessio 85 0.5× 138 0.8× 58 0.6× 29 0.6× 20 0.8× 15 435
Muriel G. Blin 102 0.6× 176 1.0× 56 0.6× 34 0.7× 38 1.5× 10 359
Marjan Harmsma 137 0.8× 217 1.3× 82 0.9× 20 0.4× 60 2.3× 8 418
Tom Büchse 161 0.9× 245 1.4× 71 0.8× 44 0.9× 90 3.5× 10 445
Elena Fanti 92 0.5× 125 0.7× 62 0.7× 43 0.9× 52 2.0× 17 368
Evert Nijhuis 130 0.8× 180 1.1× 73 0.8× 42 0.9× 51 2.0× 9 429
Lillia Holmes 143 0.8× 126 0.7× 87 1.0× 51 1.0× 121 4.7× 15 368
Greg A. Timblin 122 0.7× 163 1.0× 53 0.6× 37 0.8× 59 2.3× 10 399
Tamlyn Thomas 77 0.4× 252 1.5× 47 0.5× 43 0.9× 39 1.5× 17 367
Zihan Ma 84 0.5× 196 1.2× 27 0.3× 67 1.4× 30 1.2× 13 419

Countries citing papers authored by Katalin Pálfi

Since Specialization
Citations

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

Fields of papers citing papers by Katalin Pálfi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Katalin Pálfi

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