Mark R. Dyer
Impact in
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- Metabolism and Genetic Disorders
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- Mitochondrial Function and Pathology
- ATP Synthase and ATPases Research
- RNA and protein synthesis mechanisms
- RNA modifications and cancer
Papers in
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- ATP Synthase and ATPases Research 5
- RNA and protein synthesis mechanisms 4
- Mitochondrial Function and Pathology 4
- CRISPR and Genetic Engineering 2
- Advanced biosensing and bioanalysis techniques 1
- Surgery 1
- Co-authors
- John E. Walker (5 shared papers)Martin F. Bachmann (2 shared papers)Steven J. Powell (2 shared papers)Nicholas J. Gay (2 shared papers)Paul L. Herrling (2 shared papers)М. Б. Костина (1 shared paper)N Gay (1 shared paper)Wolfgang A. Renner (1 shared paper)
- Journals
- Biochemistry (2 papers)Drug Discovery Today (2 papers)Biochemical Journal (2 papers)Molecular Therapy (1 paper)Nature Reviews Drug Discovery (1 paper)
- Partner nations
- United KingdomSwitzerland
In The Last Decade
Mark R. Dyer
9 papers receiving 346 citations
Peers
Comparison fields: 5 of 73
- Clinical Biochemistry 30
- Molecular Biology 252
- Immunology 55
- Physiology 48
- Biotechnology 14
Countries citing papers authored by Mark R. Dyer
This map shows the geographic impact of Mark R. Dyer'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 R. Dyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark R. Dyer more than expected).
Fields of papers citing papers by Mark R. Dyer
This network shows the impact of papers produced by Mark R. Dyer. 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 R. Dyer. The network helps show where Mark R. Dyer may publish in the future.
Co-authors
The 13 scholars most cited alongside Mark R. Dyer, 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 | 2003 | 88 | |
| 2 | 1987 | 78 | |
| 3 | 1993 | 63 | |
| 4 | 1989 | 32 | |
| 5 | 2000 | 30 | |
| 6 | 2006 | 21 | |
| 7 | 1989 | 21 | |
| 8 | 1999 | 19 | |
| 9 | 1987 | 7 |
About Mark R. Dyer
Mark R. Dyer is a scholar working on Molecular Biology, Surgery, Epidemiology, Computational Theory and Mathematics and Radiology, Nuclear Medicine and Imaging, having authored 9 papers that have together received 359 indexed citations. Recurring topics across this work include ATP Synthase and ATPases Research (5 papers), RNA and protein synthesis mechanisms (4 papers), Mitochondrial Function and Pathology (4 papers), CRISPR and Genetic Engineering (2 papers), Atherosclerosis and Cardiovascular Diseases (1 paper), Advanced biosensing and bioanalysis techniques (1 paper), Computational Drug Discovery Methods (1 paper) and Global Public Health Policies and Epidemiology (1 paper). The work is most often cited by research in Clinical Biochemistry (30 citations), Molecular Biology (252 citations), Immunology (55 citations), Physiology (48 citations) and Biotechnology (14 citations). Mark R. Dyer has collaborated with scholars based in United Kingdom and Switzerland. Frequent co-authors include John E. Walker, Martin F. Bachmann, Steven J. Powell, Nicholas J. Gay, Paul L. Herrling, М. Б. Костина, N Gay, Wolfgang A. Renner, Dalia Cohen and Stephen Joseph Powell. Their work appears in journals such as Biochemistry, Drug Discovery Today, Biochemical Journal, Molecular Therapy and Nature Reviews Drug Discovery.
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.