Mark Cook

6.6k citations
89 papers · 2.7k · h-index 25

Impact in

  • Hematology top 0.5%
    • Multiple Myeloma Research and Treatments
    • Hematopoietic Stem Cell Transplantation
    • Acute Myeloid Leukemia Research
  • Nephrology top 2%
    • Renal Diseases and Glomerulopathies

Papers in

    • Multiple Myeloma Research and Treatments 41
    • Hematopoietic Stem Cell Transplantation 8
    • Amyloidosis: Diagnosis, Treatment, Outcomes 16
    • Protein Degradation and Inhibitors 11

Mark Cook

86 papers receiving 2.7k citations

Peers

Mark Cook
Comparison fields: 5 of 81
  • Hematology 1.6k
  • Nephrology 250
  • Immunology 727
  • Genetics 257
  • Transplantation 52
Replace Sang Kyun Sohn with:
Sang Kyun Sohn South Korea
Chang‐Ki Min South Korea
C Nissen Switzerland
Sally Killick United Kingdom
John Tesser United States
Panagiotis Tsirigotis Greece
Derwood Pamphilon United Kingdom
Bruno Fattizzo Italy
JH Antin United States
Louis Letendre United States
Mark Cook relative to Sang Kyun Sohn South Korea Sang Kyun Sohn's profile →
Citations per field
00.5×2.8×
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-authors

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

Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012304
2 2013215
3 2007182
4 2005175
5 2009165
6 2011152
7 2003151
8 2005138
9 201287
10 201970
11 200870
12 201569
13 200868
14 200349
15 200849
16 200447
17 200937
18 200832
19 202032
20 201029

About Mark Cook

Mark Cook is a scholar working on Hematology, Molecular Biology, Oncology, Immunology and Epidemiology, having authored 89 papers that have together received 2.7k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (41 papers), Immune Cell Function and Interaction (16 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (16 papers), T-cell and B-cell Immunology (12 papers), Protein Degradation and Inhibitors (11 papers), Hematopoietic Stem Cell Transplantation (8 papers), CAR-T cell therapy research (7 papers) and Renal Transplantation Outcomes and Treatments (6 papers). The work is most often cited by research in Hematology (1.6k citations), Nephrology (250 citations), Immunology (727 citations), Genetics (257 citations) and Transplantation (52 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, Angela Dispenzieri and Premini Mahendra. Their work appears in journals such as Blood, British Journal of Haematology, Journal of Clinical Oncology, Bone Marrow Transplantation and Trials.

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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