M.T. Wilson
Impact in
- Cell Biology top 5%
- Hemoglobin structure and function
- Biophysics top 5%
Papers in
- Cell Biology 15
- Hemoglobin structure and function 13
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- Photoreceptor and optogenetics research 11
- Co-authors
- Victor M. Darley-Usmar (4 shared papers)Jaume Torres (3 shared papers)Maurizio Brunori (11 shared papers)Chris E. Cooper (4 shared papers)Alfredo Colosimo (4 shared papers)Martyn A. Sharpe (2 shared papers)Colin Greenwood (3 shared papers)Eraldo Antonini (2 shared papers)
- Journals
- Biochemical Journal (12 papers)FEBS Letters (3 papers)Journal of Inorganic Biochemistry (3 papers)Biochemical Society Transactions (3 papers)Journal of Biological Chemistry (2 papers)
- Partner nations
- United KingdomItalyUnited States
In The Last Decade
M.T. Wilson
39 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 115
- Cell Biology 370
- Biophysics 94
- Physiology 379
- Biochemistry 104
- Electrochemistry 84
Countries citing papers authored by M.T. Wilson
This map shows the geographic impact of M.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 M.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 M.T. Wilson more than expected).
Fields of papers citing papers by M.T. Wilson
This network shows the impact of papers produced by M.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 M.T. Wilson. The network helps show where M.T. Wilson may publish in the future.
Co-authors
The 25 scholars most cited alongside M.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
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 181 | |
| 2 | 1977 | 173 | |
| 3 | 1993 | 136 | |
| 4 | 1997 | 103 | |
| 5 | 1996 | 101 | |
| 6 | 2002 | 87 | |
| 7 | 2007 | 74 | |
| 8 | 1979 | 58 | |
| 9 | 1985 | 50 | |
| 10 | 1992 | 42 | |
| 11 | 1994 | 35 | |
| 12 | 1982 | 35 | |
| 13 | 1984 | 32 | |
| 14 | 2003 | 31 | |
| 15 | 1994 | 30 | |
| 16 | 2001 | 28 | |
| 17 | 1995 | 22 | |
| 18 | 1981 | 17 | |
| 19 | 1994 | 15 | |
| 20 | 1992 | 15 |
About M.T. Wilson
M.T. Wilson is a scholar working on Cell Biology, Cellular and Molecular Neuroscience, Molecular Biology, Electrochemistry and Biophysics, having authored 42 papers that have together received 1.4k indexed citations. Recurring topics across this work include Photosynthetic Processes and Mechanisms (14 papers), Hemoglobin structure and function (13 papers), Photoreceptor and optogenetics research (11 papers), Mitochondrial Function and Pathology (5 papers), Heme Oxygenase-1 and Carbon Monoxide (5 papers), Spectroscopy and Quantum Chemical Studies (5 papers), Electrochemical sensors and biosensors (4 papers) and Electrochemical Analysis and Applications (4 papers). The work is most often cited by research in Cell Biology (370 citations), Biophysics (94 citations), Physiology (379 citations), Biochemistry (104 citations) and Electrochemistry (84 citations). M.T. Wilson has collaborated with scholars based in United Kingdom, Italy and United States. Frequent co-authors include Victor M. Darley-Usmar, Jaume Torres, Maurizio Brunori, Chris E. Cooper, Alfredo Colosimo, Martyn A. Sharpe, Colin Greenwood, Eraldo Antonini, Neil Hogg and Salvador Moncada. Their work appears in journals such as Biochemical Journal, FEBS Letters, Journal of Inorganic Biochemistry, Biochemical Society Transactions and Journal of Biological Chemistry.
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.