Jonathan Machin
Impact in
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- Alzheimer's disease research and treatments
Papers in
-
- Protein Structure and Dynamics 4
- RNA and protein synthesis mechanisms 3
- Lipid Membrane Structure and Behavior 2
- Genetics 3
- Bacterial Genetics and Biotechnology 3
- Co-authors
- Sheena E. Radford (9 shared papers)Ioannis Vakonakis (1 shared paper)A.L. Kantsadi (1 shared paper)Neil A. Ranson (7 shared papers)Jonathan Pearce (2 shared papers)Bernardino Ghetti (1 shared paper)Paul Tempest (1 shared paper)Alexey G. Murzin (1 shared paper)
- Journals
- Nature Communications (3 papers)Macromolecules (1 paper)Nature Chemistry (1 paper)Acta Neuropathologica (1 paper)Journal of Molecular Biology (1 paper)
- Partner nations
- United KingdomGermanyUnited States
In The Last Decade
Jonathan Machin
13 papers receiving 302 citations
Peers
Comparison fields: 5 of 85
- Molecular Medicine 20
- Physiology 103
- Neurology 28
- Biophysics 15
- Neurology 35
Countries citing papers authored by Jonathan Machin
This map shows the geographic impact of Jonathan Machin'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 Jonathan Machin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Machin more than expected).
Fields of papers citing papers by Jonathan Machin
This network shows the impact of papers produced by Jonathan Machin. 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 Jonathan Machin. The network helps show where Jonathan Machin may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonathan Machin, 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 | 2021 | 127 | |
| 2 | 2019 | 35 | |
| 3 | 2021 | 29 | |
| 4 | 2023 | 23 | |
| 5 | 2022 | 20 | |
| 6 | 2018 | 18 | |
| 7 | 2023 | 17 | |
| 8 | 2021 | 13 | |
| 9 | 2024 | 10 | |
| 10 | 2022 | 8 | |
| 11 | 2025 | 2 | |
| 12 | 2024 | 2 | |
| 13 | 2023 | 1 | |
| 14 | 2025 | 0 |
About Jonathan Machin
Jonathan Machin is a scholar working on Molecular Biology, Genetics, Materials Chemistry, Atomic and Molecular Physics, and Optics and Physiology, having authored 14 papers that have together received 305 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (4 papers), RNA and protein synthesis mechanisms (3 papers), Bacterial Genetics and Biotechnology (3 papers), Enzyme Structure and Function (3 papers), Alzheimer's disease research and treatments (2 papers), Electron Spin Resonance Studies (2 papers), Lipid Membrane Structure and Behavior (2 papers) and Spectroscopy and Quantum Chemical Studies (2 papers). The work is most often cited by research in Molecular Medicine (20 citations), Physiology (103 citations), Neurology (28 citations), Biophysics (15 citations) and Neurology (35 citations). Jonathan Machin has collaborated with scholars based in United Kingdom, Germany and United States. Frequent co-authors include Sheena E. Radford, Ioannis Vakonakis, A.L. Kantsadi, Neil A. Ranson, Jonathan Pearce, Bernardino Ghetti, Paul Tempest, Alexey G. Murzin, Makoto Higuchi and Sjors H. W. Scheres. Their work appears in journals such as Nature Communications, Macromolecules, Nature Chemistry, Acta Neuropathologica and Journal of Molecular Biology.
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.