Mark Goodall
Impact in
- Bioengineering top 5%
- Analytical Chemistry and Sensors
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- Photoreceptor and optogenetics research
Papers in
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- Lipid Membrane Structure and Behavior 9
- Ion channel regulation and function 4
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- Muscle activation and electromyography studies 6
- Advanced Sensor and Energy Harvesting Materials 3
- Co-authors
- Dan W. Urry (1 shared paper)Jerry D. Glickson (1 shared paper)D. F. Mayers (1 shared paper)Andrew G. Szent‐Györgyi (1 shared paper)George Sachs (4 shared papers)Mark Gabbay (13 shared papers)James P Neilson (1 shared paper)Nynke van den Broek (1 shared paper)
- Journals
- Nature (13 papers)Biochimica et Biophysica Acta (BBA) - Biomembranes (5 papers)Archives of Biochemistry and Biophysics (2 papers)Health Expectations (2 papers)BMC Public Health (2 papers)
- Partner nations
- United StatesUnited KingdomMalawi
In The Last Decade
Mark Goodall
49 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 136
- Bioengineering 73
- Cellular and Molecular Neuroscience 206
- Electrochemistry 60
- Microbiology 55
- Molecular Biology 623
Countries citing papers authored by Mark Goodall
This map shows the geographic impact of Mark Goodall'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 Goodall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Goodall more than expected).
Fields of papers citing papers by Mark Goodall
This network shows the impact of papers produced by Mark Goodall. 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 Goodall. The network helps show where Mark Goodall may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark Goodall, 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1971 | 359 | |
| 2 | 1970 | 86 | |
| 3 | 2022 | 78 | |
| 4 | 2009 | 67 | |
| 5 | 1971 | 64 | |
| 6 | 1953 | 55 | |
| 7 | 2014 | 48 | |
| 8 | 1956 | 41 | |
| 9 | 1973 | 30 | |
| 10 | 1956 | 29 | |
| 11 | 2011 | 28 | |
| 12 | 1974 | 26 | |
| 13 | 2020 | 23 | |
| 14 | 2021 | 22 | |
| 15 | 1974 | 21 | |
| 16 | 1972 | 21 | |
| 17 | 1970 | 19 | |
| 18 | 1958 | 18 | |
| 19 | 2022 | 16 | |
| 20 | 2023 | 15 |
About Mark Goodall
Mark Goodall is a scholar working on Molecular Biology, Biomedical Engineering, Cellular and Molecular Neuroscience, General Health Professions and Atomic and Molecular Physics, and Optics, having authored 52 papers that have together received 1.2k indexed citations. Recurring topics across this work include Lipid Membrane Structure and Behavior (9 papers), Muscle activation and electromyography studies (6 papers), Neuroscience and Neural Engineering (4 papers), Ion channel regulation and function (4 papers), Advanced Sensor and Energy Harvesting Materials (3 papers), Computability, Logic, AI Algorithms (3 papers), Spectroscopy and Quantum Chemical Studies (3 papers) and Mental Health and Patient Involvement (3 papers). The work is most often cited by research in Bioengineering (73 citations), Cellular and Molecular Neuroscience (206 citations), Electrochemistry (60 citations), Microbiology (55 citations) and Molecular Biology (623 citations). Mark Goodall has collaborated with scholars based in United States, United Kingdom and Malawi. Frequent co-authors include Dan W. Urry, Jerry D. Glickson, D. F. Mayers, Andrew G. Szent‐Györgyi, George Sachs, Mark Gabbay, James P Neilson, Nynke van den Broek, George Kafulafula and Sarah White. Their work appears in journals such as Nature, Biochimica et Biophysica Acta (BBA) - Biomembranes, Archives of Biochemistry and Biophysics, Health Expectations and BMC Public Health.
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.