Polina Kaplan

18 total papers · 2.0k total citations
9 papers, 326 citations indexed

About

Polina Kaplan is a scholar working on Genetics, Pathology and Forensic Medicine and Hematology. According to data from OpenAlex, Polina Kaplan has authored 9 papers receiving a total of 326 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Genetics, 7 papers in Pathology and Forensic Medicine and 4 papers in Hematology. Recurrent topics in Polina Kaplan's work include Chronic Lymphocytic Leukemia Research (8 papers), Lymphoma Diagnosis and Treatment (7 papers) and Chronic Myeloid Leukemia Treatments (3 papers). Polina Kaplan is often cited by papers focused on Chronic Lymphocytic Leukemia Research (8 papers), Lymphoma Diagnosis and Treatment (7 papers) and Chronic Myeloid Leukemia Treatments (3 papers). Polina Kaplan collaborates with scholars based in Poland, United States and United Kingdom. Polina Kaplan's co-authors include Tomáš Kozák, Paolo Ghia, Martin Šimkovič, Árpád Illés, Wojciech Jurczak, Abraham Jacob, Sean Dolan, Gerardo Musuraca, Andrzej Pluta and Małgorzata Wach and has published in prestigious journals such as Journal of Clinical Oncology, Blood and Leukemia & lymphoma.

In The Last Decade

Polina Kaplan

9 papers receiving 323 citations

Hit Papers

ASCEND: Phase III, Random... 2020 2026 2022 2024 2020 50 100 150 200

Author Peers

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

Author Last Decade Papers Cites
Polina Kaplan 277 223 114 92 58 9 326
Laurie Musial 265 1.0× 220 1.0× 135 1.2× 94 1.0× 104 1.8× 8 349
Rose Mantel 253 0.9× 192 0.9× 97 0.9× 76 0.8× 112 1.9× 13 326
M. Lenoci 212 0.8× 190 0.9× 109 1.0× 131 1.4× 69 1.2× 10 361
Talha Munir 321 1.2× 258 1.2× 96 0.8× 129 1.4× 28 0.5× 15 358
Viralkumar Patel 181 0.7× 116 0.5× 61 0.5× 78 0.8× 121 2.1× 11 349
Binsah George 256 0.9× 192 0.9× 105 0.9× 85 0.9× 40 0.7× 8 293
Francesca Yates 260 0.9× 204 0.9× 94 0.8× 88 1.0× 38 0.7× 11 278
E Moreau 244 0.9× 219 1.0× 34 0.3× 143 1.6× 33 0.6× 7 313
Adam Albitar 236 0.9× 191 0.9× 52 0.5× 104 1.1× 55 0.9× 8 275
Ting Yu 135 0.5× 107 0.5× 40 0.4× 58 0.6× 42 0.7× 13 264

Countries citing papers authored by Polina Kaplan

Since Specialization
Citations

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

Fields of papers citing papers by Polina Kaplan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Polina Kaplan

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