Michael T. Wilson
Impact in
- Cell Biology top 0.2%
- Hemoglobin structure and function
- Cancer Research top 0.5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
- Cell Biology 126
- Hemoglobin structure and function 125
- Biophysics 28
- Electron Spin Resonance Studies 25
- Co-authors
- Brandon J. ReederChris SanderDebora S. MarksDoron BetelAaron GabowVictor Darley‐UsmarChris E. CooperDimitri A. Svistunenko
- Journals
- Biochemical Journal (34 papers)Biochemical Society Transactions (19 papers)Journal of Biological Chemistry (18 papers)Inorganica Chimica Acta (15 papers)Journal of Inorganic Biochemistry (12 papers)
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
Michael T. Wilson
251 papers receiving 10.7k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Cell Biology 2.9k
- Cancer Research 1.7k
- Biophysics 595
- Molecular Biology 6.6k
- Physiology 1.9k
Countries citing papers authored by Michael T. Wilson
This map shows the geographic impact of Michael T. Wilson'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 Michael T. Wilson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael T. Wilson more than expected).
Fields of papers citing papers by Michael T. Wilson
This network shows the impact of papers produced by Michael T. Wilson. 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 Michael T. Wilson. The network helps show where Michael T. Wilson may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael T. Wilson, 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 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 5 | |
| 5 | 2022 | 12 | |
| 6 | 2021 | 21 | |
| 7 | 2021 | 1 | |
| 8 | 2021 | 18 | |
| 9 | 2020 | 16 | |
| 10 | 2020 | 29 | |
| 11 | 2020 | 2 | |
| 12 | 2019 | 7 | |
| 13 | 2019 | 26 | |
| 14 | 2018 | 33 | |
| 15 | 2017 | 22 | |
| 16 | 2017 | 43 | |
| 17 | 2017 | 25 | |
| 18 | 2014 | 4 | |
| 19 | 1998 | 98 | |
| 20 | Mitochondria: a practical approach. | 1987 | 384 |
About Michael T. Wilson
Michael T. Wilson is a scholar working on Cell Biology, Biophysics, Molecular Biology, Cellular and Molecular Neuroscience and Electrochemistry, having authored 256 papers that have together received 11.1k indexed citations. Recurring topics across this work include Hemoglobin structure and function (125 papers), Photosynthetic Processes and Mechanisms (99 papers), Heme Oxygenase-1 and Carbon Monoxide (36 papers), Photoreceptor and optogenetics research (36 papers), Spectroscopy and Quantum Chemical Studies (26 papers), Electron Spin Resonance Studies (25 papers), Porphyrin Metabolism and Disorders (25 papers) and Enzyme-mediated dye degradation (23 papers). The work is most often cited by research in Cell Biology (2.9k citations), Cancer Research (1.7k citations), Biophysics (595 citations), Molecular Biology (6.6k citations) and Physiology (1.9k citations). Michael T. Wilson has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Brandon J. Reeder, Chris Sander, Debora S. Marks, Doron Betel, Aaron Gabow, Victor Darley‐Usmar, Chris E. Cooper, Dimitri A. Svistunenko, Maurizio Brunori and C Greenwood. Their work appears in journals such as Biochemical Journal, Biochemical Society Transactions, Journal of Biological Chemistry, Inorganica Chimica Acta and Journal of Inorganic Biochemistry.
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.