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
-
- Epigenetics and DNA Methylation 8
- RNA modifications and cancer 6
- Ubiquitin and proteasome pathways 6
- Metabolomics and Mass Spectrometry Studies 4
- Oncology 24
- Cancer-related Molecular Pathways 22
- 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)Michelle J. Humphreys (1 shared paper)Lucie Jones (1 shared paper)Terence M. Jones (10 shared papers)
- Journals
- Cancer (2 papers)Cancer Letters (2 papers)Cancer Research (2 papers)The Lancet (2 papers)Clinical Otolaryngology (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 103
- Otorhinolaryngology 101
- Oncology 562
- Cancer Research 281
- Molecular Biology 710
- Periodontics 45
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 | 167 | |
| 2 | 2010 | 85 | |
| 3 | 2000 | 84 | |
| 4 | 2010 | 75 | |
| 5 | 2005 | 59 | |
| 6 | 2002 | 55 | |
| 7 | 2010 | 54 | |
| 8 | 2011 | 54 | |
| 9 | 2005 | 54 | |
| 10 | 2013 | 48 | |
| 11 | 2014 | 47 | |
| 12 | 2008 | 45 | |
| 13 | 2013 | 45 | |
| 14 | 2011 | 28 | |
| 15 | 2011 | 23 | |
| 16 | 1989 | 22 | |
| 17 | 2020 | 22 | |
| 18 | 2023 | 21 | |
| 19 | 2011 | 21 | |
| 20 | 2010 | 20 |
About Mark T. Boyd
Mark T. Boyd is a scholar working on Molecular Biology, Oncology, Otorhinolaryngology, Surgery and Cancer Research, having authored 36 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (22 papers), Head and Neck Cancer Studies (9 papers), Epigenetics and DNA Methylation (8 papers), RNA modifications and cancer (6 papers), Ubiquitin and proteasome pathways (6 papers), Metabolomics and Mass Spectrometry Studies (4 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Head and Neck Surgical Oncology (4 papers). The work is most often cited by research in Otorhinolaryngology (101 citations), Oncology (562 citations), Cancer Research (281 citations), Molecular Biology (710 citations) and Periodontics (45 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, Michelle J. Humphreys, Lucie Jones, Terence M. Jones, Dale S. Haines and Radosław Polański. Their work appears in journals such as Cancer, Cancer Letters, Cancer Research, The Lancet and Clinical Otolaryngology.
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.