Michael R. Kurman

966 total citations
56 papers, 717 citations indexed

About

Michael R. Kurman is a scholar working on Oncology, Molecular Biology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Michael R. Kurman has authored 56 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Oncology, 17 papers in Molecular Biology and 13 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Michael R. Kurman's work include Cancer, Hypoxia, and Metabolism (7 papers), Prostate Cancer Treatment and Research (6 papers) and T-cell and Retrovirus Studies (5 papers). Michael R. Kurman is often cited by papers focused on Cancer, Hypoxia, and Metabolism (7 papers), Prostate Cancer Treatment and Research (6 papers) and T-cell and Retrovirus Studies (5 papers). Michael R. Kurman collaborates with scholars based in United States, United Kingdom and Japan. Michael R. Kurman's co-authors include Karen M. Dwyer, Pramoda Challagundla, Youn H. Kim, Jeffrey L. Jorgensen, Li Liu, Francine M. Foss, Xiaoping Zhang, Madeleine Duvic, Lauren Pinter‐Brown and Lubomir Sokol and has published in prestigious journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Michael R. Kurman

54 papers receiving 703 citations

Peers

Michael R. Kurman
Comparison fields: 5 of 74
  • Molecular Biology 283
  • Immunology 238
  • Oncology 228
  • Dermatology 131
  • Pathology and Forensic Medicine 125
Replace Yukihiko Kato with:
Yukihiko Kato Japan
Karline Guilloteau France
Nobuyasu Komazawa Japan
Tord Labuda Denmark
Qingli Bie China
Sothy Yi United States
Esther P.M. Tjin Netherlands
J. K. Larsen Denmark
Lawrence Stennett United States
Shauna Hegarty Ireland
Yukihiko Kato Japan View profile →
Citations per field, relative to Michael R. Kurman
Michael R. Kurman · 1×
Citations per year, relative to Michael R. Kurman
Michael R. Kurman · 1×

Countries citing papers authored by Michael R. Kurman

Since Specialization
Citations

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

Fields of papers citing papers by Michael R. Kurman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael R. Kurman. 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 Michael R. Kurman. The network helps show where Michael R. Kurman may publish in the future.

Co-authorship network of co-authors of Michael R. Kurman

This figure shows the co-authorship network connecting the top 25 collaborators of Michael R. Kurman. A scholar is included among the top collaborators of Michael R. Kurman 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 Michael R. Kurman. Michael R. Kurman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 9
3 0
4 6
5 3
6 2
7 4
8 1
9
Mogamulizumab versus investigator’s choice of chemotherapy regimen in relapsed/refractory adult T-cell leukemia/lymphoma
5
10 48
11 1
12 42
13 1
14 4
15 123
16 15
17 1
18 15
19 28
20 6

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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