Kevin Boyd
Impact in
- Hematology top 0.5%
- Multiple Myeloma Research and Treatments
- Oncology top 5%
- Peptidase Inhibition and Analysis
- Cancer Treatment and Pharmacology
Papers in
- Hematology 61
- Multiple Myeloma Research and Treatments 61
- Oncology 45
- Cancer Treatment and Pharmacology 19
- Peptidase Inhibition and Analysis 14
- Bone health and treatments 6
- Co-authors
- Faith E. Davies (31 shared papers)Gareth J. Morgan (29 shared papers)Brian A. Walker (12 shared papers)Laura Chiecchio (7 shared papers)Walter M. Gregory (18 shared papers)Fiona M. Ross (9 shared papers)Christopher P. Wardell (8 shared papers)Zoë J. Konn (6 shared papers)
- Journals
- Blood (20 papers)Journal of Clinical Oncology (10 papers)British Journal of Haematology (7 papers)Clinical Cancer Research (2 papers)The Lancet Haematology (2 papers)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Kevin Boyd
76 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 98
- Hematology 1.4k
- Oncology 773
- Molecular Biology 1.3k
- Genetics 159
- Pathology and Forensic Medicine 214
Countries citing papers authored by Kevin Boyd
This map shows the geographic impact of Kevin Boyd'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 Kevin Boyd with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin Boyd more than expected).
Fields of papers citing papers by Kevin Boyd
This network shows the impact of papers produced by Kevin Boyd. 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 Kevin Boyd. The network helps show where Kevin Boyd may publish in the future.
Co-authors
The 25 scholars most cited alongside Kevin Boyd, 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 83 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 263 | |
| 2 | 2011 | 224 | |
| 3 | 2010 | 192 | |
| 4 | 2011 | 131 | |
| 5 | 2010 | 90 | |
| 6 | 2010 | 85 | |
| 7 | 2009 | 85 | |
| 8 | 2021 | 75 | |
| 9 | 2019 | 68 | |
| 10 | 2003 | 65 | |
| 11 | 2008 | 56 | |
| 12 | 2009 | 52 | |
| 13 | 2011 | 50 | |
| 14 | 2010 | 47 | |
| 15 | 2009 | 44 | |
| 16 | 2021 | 38 | |
| 17 | 2011 | 33 | |
| 18 | 2020 | 27 | |
| 19 | 2015 | 24 | |
| 20 | 2021 | 24 |
About Kevin Boyd
Kevin Boyd is a scholar working on Hematology, Oncology, Molecular Biology, Surgery and Genetics, having authored 83 papers that have together received 2.0k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (61 papers), Protein Degradation and Inhibitors (28 papers), Cancer Treatment and Pharmacology (19 papers), Peptidase Inhibition and Analysis (14 papers), Bone health and treatments (6 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), Histone Deacetylase Inhibitors Research (5 papers) and Cancer therapeutics and mechanisms (5 papers). The work is most often cited by research in Hematology (1.4k citations), Oncology (773 citations), Molecular Biology (1.3k citations), Genetics (159 citations) and Pathology and Forensic Medicine (214 citations). Kevin Boyd has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include Faith E. Davies, Gareth J. Morgan, Brian A. Walker, Laura Chiecchio, Walter M. Gregory, Fiona M. Ross, Christopher P. Wardell, Zoë J. Konn, Gian Paolo Dagrada and Sarah Bird. Their work appears in journals such as Blood, Journal of Clinical Oncology, British Journal of Haematology, Clinical Cancer Research 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.