Michael Cook

790 citations
19 papers · 441 · h-index 8

Impact in

  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
    • Viral-associated cancers and disorders
    • Polyomavirus and related diseases

Papers in

    • CAR-T cell therapy research 5
    • Cancer Immunotherapy and Biomarkers 3
    • Viral-associated cancers and disorders 2
    • CNS Lymphoma Diagnosis and Treatment 4

Michael Cook

17 papers receiving 438 citations

Peers

Michael Cook
Comparison fields: 5 of 56
  • Oncology 244
  • Virology 19
  • Hepatology 25
  • Pathology and Forensic Medicine 50
  • Atmospheric Science 55
Replace Kenji Kurihara with:
Kenji Kurihara Japan
Yurong Gu China
Magdalena Witkowska Poland
Sue‐Jane Lin Taiwan
Maria Francisca Moraes‐Fontes Portugal
Katharina M. Brauer Germany
Maria Pichler Austria
Ilona Urbárová Norway
Stefano Ricci Italy
Daphné A. Schmid Switzerland
Michael Cook relative to Kenji Kurihara Japan Kenji Kurihara's profile →
Citations per field
00.5×10×14.5×
Kenji Kurihara · 1×
Citations per year

Countries citing papers authored by Michael Cook

Since Specialization
Citations

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

Fields of papers citing papers by Michael Cook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michael Cook, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Cook Line = papers co-authored together Michael Cook links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2019155
2 201987
3 202271
4 200430
5 201525
6 202219
7 202116
8 202111
9 20237
10 19906
11 20195
12 20212
13 20192
14 20222
15 20231
16 20211
17 20191
18 20240
19 20250

About Michael Cook

Michael Cook is a scholar working on Oncology, Neurology, Pathology and Forensic Medicine, Genetics and Ecology, having authored 19 papers that have together received 441 indexed citations. Recurring topics across this work include CAR-T cell therapy research (5 papers), CNS Lymphoma Diagnosis and Treatment (4 papers), Lymphoma Diagnosis and Treatment (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Isotope Analysis in Ecology (2 papers), Geology and Paleoclimatology Research (2 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Viral-associated cancers and disorders (2 papers). The work is most often cited by research in Oncology (244 citations), Virology (19 citations), Hepatology (25 citations), Pathology and Forensic Medicine (50 citations) and Atmospheric Science (55 citations). Michael Cook has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Chul Kim, Neil J. Shah, Matthew Blackburn, Michael B. Atkins, Anas Belouali, Kieron Dunleavy, Subha Madhavan, Geoffrey T. Gibney, Yutong Luo and Aiwu Ruth He. Their work appears in journals such as Blood Advances, Blood, JAMA Oncology, Journal of Clinical Oncology and Cancer Research.

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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