Rafał Pęksa

163 total papers · 1.2k total citations
80 papers, 577 citations indexed

About

Rafał Pęksa is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Rafał Pęksa has authored 80 papers receiving a total of 577 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Oncology, 26 papers in Pulmonary and Respiratory Medicine and 20 papers in Surgery. Recurrent topics in Rafał Pęksa's work include Cancer Immunotherapy and Biomarkers (10 papers), Renal cell carcinoma treatment (7 papers) and Brain Metastases and Treatment (5 papers). Rafał Pęksa is often cited by papers focused on Cancer Immunotherapy and Biomarkers (10 papers), Renal cell carcinoma treatment (7 papers) and Brain Metastases and Treatment (5 papers). Rafał Pęksa collaborates with scholars based in Poland, Italy and United States. Rafał Pęksa's co-authors include Wojciech Biernat, Michał Kunc, Krzysztof Sworczak, Anna Babińska, Renata Duchnowska, Barbara Radecka, Jacek Jassem, Katarzyna Sznurkowska, Anton Żawrocki and Jacek Jan Sznurkowski and has published in prestigious journals such as Journal of Clinical Oncology, Scientific Reports and International Journal of Molecular Sciences.

In The Last Decade

Rafał Pęksa

71 papers receiving 570 citations

Author Peers

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

Author Last Decade Papers Cites
Rafał Pęksa 234 177 128 91 81 80 577
Hyunjin Kim 226 1.0× 225 1.3× 99 0.8× 147 1.6× 67 0.8× 69 674
Yoshihisa Ohnishi 196 0.8× 210 1.2× 138 1.1× 129 1.4× 41 0.5× 65 660
Wenpeng Huang 175 0.7× 120 0.7× 155 1.2× 136 1.5× 45 0.6× 107 659
Hyung-Keun Kim 201 0.9× 212 1.2× 288 2.3× 121 1.3× 63 0.8× 44 684
Jacek Zieliński 145 0.6× 118 0.7× 216 1.7× 90 1.0× 72 0.9× 75 629
Tatsuzo Tanabe 122 0.5× 222 1.3× 254 2.0× 122 1.3× 35 0.4× 56 626
Roberto Bandelloni 170 0.7× 103 0.6× 187 1.5× 127 1.4× 33 0.4× 44 637
Jessica Ley 366 1.6× 249 1.4× 134 1.0× 172 1.9× 54 0.7× 58 596
Bin Jiang 279 1.2× 100 0.6× 143 1.1× 171 1.9× 98 1.2× 60 655
Xiaojing Yang 163 0.7× 144 0.8× 77 0.6× 206 2.3× 92 1.1× 55 586

Countries citing papers authored by Rafał Pęksa

Since Specialization
Citations

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

Fields of papers citing papers by Rafał Pęksa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rafał Pęksa

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