Mark T. Drayson
- Hematology top 0.05%
- Multiple Myeloma Research and Treatments 166
- Behavioral Neuroscience top 0.5%
- Stress Responses and Cortisol 27
- Oncology top 0.5%
- Cancer Treatment and Pharmacology 44
- Peptidase Inhibition and Analysis 32
- Biological Psychiatry top 1%
- Rehabilitation top 0.2%
- Exercise and Physiological Responses 30
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- Protein Degradation and Inhibitors 49
- Amyloidosis: Diagnosis, Treatment, Outcomes 28
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- Monoclonal and Polyclonal Antibodies Research 24
Mark T. Drayson
355 papers receiving 14.3k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Hematology 6.2k
- Behavioral Neuroscience 813
- Oncology 4.2k
- Biological Psychiatry 371
- Rehabilitation 891
Countries citing papers authored by Mark T. Drayson
This map shows the geographic impact of Mark T. Drayson'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 T. Drayson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark T. Drayson more than expected).
Fields of papers citing papers by Mark T. Drayson
This network shows the impact of papers produced by Mark T. Drayson. 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 T. Drayson. The network helps show where Mark T. Drayson may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark T. Drayson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 1 | |
| 2 | 2024 | 2 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 0 | |
| 5 | 2023 | 12 | |
| 6 | 2023 | 54 | |
| 7 | 2023 | 2 | |
| 8 | 2022 | 21 | |
| 9 | 2022 | 14 | |
| 10 | 2022 | 40 | |
| 11 | 2022 | 11 | |
| 12 | 2021 | 48 | |
| 13 | 2020 | 2 | |
| 14 | 2017 | 29 | |
| 15 | Comparison of immune response after vaccination with polysaccharide and glycoconjugate vaccines against encapsulated bacteria between HIV-infected and HIV-non-infected adults in the UK | 2016 | 1 |
| 16 | 2015 | 43 | |
| 17 | Validation of a rapid lateral-flow test for the diagnosis and monitoring of immunoglobulin free light chains: Retrospective analysis of sera from patients with plasma cell dyscrasias | 2013 | 1 |
| 18 | 2010 | 16 | |
| 19 | 2010 | 3 | |
| 20 | 2008 | 181 |
About Mark T. Drayson
Mark T. Drayson is a scholar working on Hematology, Behavioral Neuroscience, Rehabilitation, Oncology and Biological Psychiatry, having authored 369 papers that have together received 14.6k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (166 papers), Protein Degradation and Inhibitors (49 papers), Cancer Treatment and Pharmacology (44 papers), Peptidase Inhibition and Analysis (32 papers), Exercise and Physiological Responses (30 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (28 papers), Stress Responses and Cortisol (27 papers) and Monoclonal and Polyclonal Antibodies Research (24 papers). The work is most often cited by research in Hematology (6.2k citations), Behavioral Neuroscience (813 citations), Oncology (4.2k citations), Biological Psychiatry (371 citations) and Rehabilitation (891 citations). Mark T. Drayson has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Gareth J. Morgan, Faith E. Davies, Roger G. Owen, Douglas Carroll, Sue Bell, J. A. Child, Christopher Ring, Victoria E. Burns, A.R. Bradwell and Hugh D Carr-Smith. Their work appears in journals such as Blood, British Journal of Haematology, Brain Behavior and Immunity, Psychophysiology and Journal of Clinical Oncology.
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.