Mark Cook
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
- Hematology 53
- Multiple Myeloma Research and Treatments 41
- Hematopoietic Stem Cell Transplantation 8
-
- Amyloidosis: Diagnosis, Treatment, Outcomes 16
- Protein Degradation and Inhibitors 11
- Co-authors
- Paul Cockwell (27 shared papers)Paul Moss (13 shared papers)Colin A. Hutchison (16 shared papers)Charles Craddock (17 shared papers)David Briggs (11 shared papers)A.R. Bradwell (11 shared papers)Nelson Leung (4 shared papers)Robert A. Kyle (3 shared papers)
- Journals
- Blood (20 papers)British Journal of Haematology (5 papers)Journal of Clinical Oncology (5 papers)Bone Marrow Transplantation (4 papers)Trials (3 papers)
- Partner nations
- United KingdomUnited StatesFrance
In The Last Decade
Mark Cook
86 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 81
- Hematology 1.6k
- Nephrology 250
- Immunology 727
- Genetics 257
- Transplantation 52
Countries citing papers authored by Mark Cook
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
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.
All Works
Showing the 20 most-cited of 89 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 304 | |
| 2 | 2013 | 215 | |
| 3 | 2007 | 182 | |
| 4 | 2005 | 175 | |
| 5 | 2009 | 165 | |
| 6 | 2011 | 152 | |
| 7 | 2003 | 151 | |
| 8 | 2005 | 138 | |
| 9 | 2012 | 87 | |
| 10 | 2019 | 70 | |
| 11 | 2008 | 70 | |
| 12 | 2015 | 69 | |
| 13 | 2008 | 68 | |
| 14 | 2003 | 49 | |
| 15 | 2008 | 49 | |
| 16 | 2004 | 47 | |
| 17 | 2009 | 37 | |
| 18 | 2008 | 32 | |
| 19 | 2020 | 32 | |
| 20 | 2010 | 29 |
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.