Mark Cook

6.5k citations
90 papers · 2.7k indexed · h-index 25
  • Hematology top 0.5%
    • Multiple Myeloma Research and Treatments 44
    • Hematopoietic Stem Cell Transplantation 10
  • Nephrology top 2%
  • Immunology top 5%
    • Immune Cell Function and Interaction 17
    • T-cell and B-cell Immunology 13
  • Genetics top 5%
    • Amyloidosis: Diagnosis, Treatment, Outcomes 24
    • Protein Degradation and Inhibitors 16
    • CAR-T cell therapy research 7
    • Cancer Treatment and Pharmacology 7

Mark Cook

87 papers receiving 2.6k citations

Peers

Mark Cook
Comparison fields: 5 of 88
  • Hematology 1.7k
  • Nephrology 306
  • Immunology 794
  • Genetics 303
  • Transplantation 66
Replace Sang Kyun Sohn with:
Sang Kyun Sohn South Korea
Chang‐Ki Min South Korea
C Nissen Switzerland
Sally Killick United Kingdom
Byung‐Sik Cho South Korea
Panagiotis Tsirigotis Greece
Derwood Pamphilon United Kingdom
Bruno Fattizzo Italy
César O. Freytes United States
Noriko Doki Japan
Mark Cook relative to Sang Kyun Sohn South Korea Sang Kyun Sohn's profile →
Citations per field
00.5×1.5×2.2×
Sang Kyun Sohn · 1×
Citations per year

Countries citing papers authored by Mark Cook

Since Specialization
Citations

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

Fields of papers citing papers by Mark Cook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Mark 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 Mark Cook Line = papers co-authored together Mark Cook links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20241
3 20231
4 20232
5 202030
6 201967
7 20180
8 20185
9 201825
10 201566
11 20156
12 201323
13 201228
14 201120
15 201014
16 201029
17 200922
18 200826
19 200849
20 200447

About Mark Cook

Mark Cook is a scholar working on Hematology, Transplantation, Immunology, Oncology and Molecular Biology, having authored 90 papers that have together received 2.7k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (44 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (24 papers), Immune Cell Function and Interaction (17 papers), Protein Degradation and Inhibitors (16 papers), T-cell and B-cell Immunology (13 papers), Hematopoietic Stem Cell Transplantation (10 papers), CAR-T cell therapy research (7 papers) and Cancer Treatment and Pharmacology (7 papers). The work is most often cited by research in Hematology (1.7k citations), Nephrology (306 citations), Immunology (794 citations), Genetics (303 citations) and Transplantation (66 citations). Mark Cook has collaborated with scholars based in United Kingdom, United States and France. Frequent co-authors include Paul Cockwell, Paul Moss, Colin A. Hutchison, Charles Craddock, David Briggs, A.R. Bradwell, Nelson Leung, Robert A. Kyle, Premini Mahendra and Angela Dispenzieri. Their work appears in journals such as Blood, British Journal of Haematology, Journal of Clinical Oncology, Bone Marrow Transplantation and The Lancet Haematology.

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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