Pim Mutsaers

99 total papers · 2.1k total citations
29 papers, 361 citations indexed

About

Pim Mutsaers is a scholar working on Oncology, Pathology and Forensic Medicine and Surgery. According to data from OpenAlex, Pim Mutsaers has authored 29 papers receiving a total of 361 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oncology, 11 papers in Pathology and Forensic Medicine and 5 papers in Surgery. Recurrent topics in Pim Mutsaers's work include CAR-T cell therapy research (13 papers), Lymphoma Diagnosis and Treatment (10 papers) and CNS Lymphoma Diagnosis and Treatment (4 papers). Pim Mutsaers is often cited by papers focused on CAR-T cell therapy research (13 papers), Lymphoma Diagnosis and Treatment (10 papers) and CNS Lymphoma Diagnosis and Treatment (4 papers). Pim Mutsaers collaborates with scholars based in Netherlands, United States and Germany. Pim Mutsaers's co-authors include Alessandro Crotta, Scott R. Solomon, Manali Kamdar, Jeremy S. Abramson, Koji Izutsu, Sandrine Montheard, Matthew A. Lunning, Sami Ibrahimi, Bertram Glaß and Jon Arnason and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Pim Mutsaers

25 papers receiving 357 citations

Hit Papers

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Author Peers

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

Author Last Decade Papers Cites
Pim Mutsaers 260 179 57 51 42 29 361
Sami Ibrahimi 271 1.0× 154 0.9× 59 1.0× 49 1.0× 41 1.0× 33 380
Alessandro Crotta 269 1.0× 118 0.7× 55 1.0× 48 0.9× 44 1.0× 26 364
Pierre Sesques 252 1.0× 153 0.9× 53 0.9× 58 1.1× 34 0.8× 27 354
Matthew L. Ulrickson 309 1.2× 154 0.9× 65 1.1× 77 1.5× 53 1.3× 32 395
Alessandro Previtali 252 1.0× 108 0.6× 75 1.3× 84 1.6× 42 1.0× 18 367
Victor A. Chow 211 0.8× 75 0.4× 50 0.9× 80 1.6× 41 1.0× 29 355
David Sermer 214 0.8× 102 0.6× 92 1.6× 111 2.2× 16 0.4× 22 381
B Gorguet 141 0.5× 155 0.9× 60 1.1× 40 0.8× 6 0.1× 34 347
François Comoz 109 0.4× 121 0.7× 61 1.1× 68 1.3× 8 0.2× 23 402
Nathan Denlinger 200 0.8× 54 0.3× 105 1.8× 74 1.5× 42 1.0× 31 323

Countries citing papers authored by Pim Mutsaers

Since Specialization
Citations

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

Fields of papers citing papers by Pim Mutsaers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pim Mutsaers

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