Mark T. Boyd
Impact in
- Otorhinolaryngology top 5%
- Head and Neck Cancer Studies
- Oncology top 5%
- Cancer-related Molecular Pathways
- Peptidase Inhibition and Analysis
Papers in
-
- Ubiquitin and proteasome pathways 6
- Epigenetics and DNA Methylation 6
- RNA modifications and cancer 5
- Metabolomics and Mass Spectrometry Studies 4
- Oncology 18
- Cancer-related Molecular Pathways 18
- Co-authors
- Nikolina Vlatković (21 shared papers)Carlos P. Rubbi (10 shared papers)John P. Neoptolemos (2 shared papers)Fiona Campbell (3 shared papers)Mark Brady (3 shared papers)Lucie Jones (1 shared paper)Michelle J. Humphreys (1 shared paper)Terence M. Jones (10 shared papers)
- Journals
- Cancer Research (2 papers)The Lancet (2 papers)Clinical Otolaryngology (2 papers)Cancer (2 papers)Cancer Letters (2 papers)
- Partner nations
- United KingdomUnited StatesNigeria
In The Last Decade
Mark T. Boyd
36 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 101
- Otorhinolaryngology 82
- Oncology 483
- Cancer Research 245
- Periodontics 41
- Molecular Biology 627
Countries citing papers authored by Mark T. Boyd
This map shows the geographic impact of Mark T. 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 Mark T. Boyd 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. Boyd more than expected).
Fields of papers citing papers by Mark T. Boyd
This network shows the impact of papers produced by Mark T. 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 Mark T. Boyd. The network helps show where Mark T. Boyd may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark T. 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 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 170 | |
| 2 | 2010 | 87 | |
| 3 | 2000 | 85 | |
| 4 | 2010 | 78 | |
| 5 | 2005 | 59 | |
| 6 | 2011 | 59 | |
| 7 | 2010 | 57 | |
| 8 | 2002 | 55 | |
| 9 | 2005 | 54 | |
| 10 | 2013 | 50 | |
| 11 | 2014 | 48 | |
| 12 | 2008 | 47 | |
| 13 | 2013 | 46 | |
| 14 | 2011 | 29 | |
| 15 | 1989 | 24 | |
| 16 | 2011 | 23 | |
| 17 | 2023 | 22 | |
| 18 | 2020 | 22 | |
| 19 | 2011 | 21 | |
| 20 | 2018 | 21 |
About Mark T. Boyd
Mark T. Boyd is a scholar working on Molecular Biology, Oncology, Otorhinolaryngology, Cancer Research and Biotechnology, having authored 36 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (18 papers), Ubiquitin and proteasome pathways (6 papers), Epigenetics and DNA Methylation (6 papers), Head and Neck Cancer Studies (5 papers), RNA modifications and cancer (5 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Cancer Research and Treatments (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Otorhinolaryngology (82 citations), Oncology (483 citations), Cancer Research (245 citations), Periodontics (41 citations) and Molecular Biology (627 citations). Mark T. Boyd has collaborated with scholars based in United Kingdom, United States and Nigeria. Frequent co-authors include Nikolina Vlatković, Carlos P. Rubbi, John P. Neoptolemos, Fiona Campbell, Mark Brady, Lucie Jones, Michelle J. Humphreys, Terence M. Jones, Dale S. Haines and Radosław Polański. Their work appears in journals such as Cancer Research, The Lancet, Clinical Otolaryngology, Cancer and Cancer Letters.
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.