Renata Zaucha

107 total papers · 3.6k total citations
53 papers, 1.1k citations indexed

About

Renata Zaucha is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Renata Zaucha has authored 53 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Oncology, 15 papers in Pulmonary and Respiratory Medicine and 11 papers in Surgery. Recurrent topics in Renata Zaucha's work include Cancer Immunotherapy and Biomarkers (7 papers), Cancer Diagnosis and Treatment (5 papers) and Lymphoma Diagnosis and Treatment (5 papers). Renata Zaucha is often cited by papers focused on Cancer Immunotherapy and Biomarkers (7 papers), Cancer Diagnosis and Treatment (5 papers) and Lymphoma Diagnosis and Treatment (5 papers). Renata Zaucha collaborates with scholars based in Poland, United States and Italy. Renata Zaucha's co-authors include Jan Maciej Zaucha, William Bensinger, Yavuz Anacak, Theodore A. Gooley, Thomas R. Chauncey, Beverly Torok‐Storb, Paul J. Martin, George E. Georges, Shelly Heimfeld and Sylwia Małgorzewicz and has published in prestigious journals such as Journal of Clinical Oncology, Blood and International Journal of Molecular Sciences.

In The Last Decade

Renata Zaucha

47 papers receiving 1.0k citations

Hit Papers

A phase 3 randomized, dou... 2022 2026 2023 2024 2022 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Renata Zaucha 452 294 232 193 166 53 1.1k
Simona Secondino 686 1.5× 167 0.6× 226 1.0× 219 1.1× 112 0.7× 58 1.2k
Jun Miyauchi 267 0.6× 164 0.6× 177 0.8× 134 0.7× 115 0.7× 40 803
J.F. Seymour 371 0.8× 121 0.4× 240 1.0× 251 1.3× 189 1.1× 52 1.1k
Reiko Watanabe 472 1.0× 132 0.4× 249 1.1× 83 0.4× 139 0.8× 59 990
Jayashree Krishnan 396 0.9× 215 0.7× 214 0.9× 84 0.4× 137 0.8× 35 1.1k
Suk Joong Oh 536 1.2× 264 0.9× 421 1.8× 74 0.4× 82 0.5× 39 1.0k
Po‐Min Chen 460 1.0× 152 0.5× 104 0.4× 263 1.4× 165 1.0× 80 1.2k
Vladimír Koza 250 0.6× 183 0.6× 260 1.1× 333 1.7× 200 1.2× 47 833
José R. Valbuena 203 0.4× 180 0.6× 155 0.7× 185 1.0× 182 1.1× 41 808
Jeffrey Davis 152 0.3× 207 0.7× 322 1.4× 440 2.3× 146 0.9× 41 1.0k

Countries citing papers authored by Renata Zaucha

Since Specialization
Citations

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

Fields of papers citing papers by Renata Zaucha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Renata Zaucha

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