Tim Green
Impact in
- Health Informatics top 2%
-
- Computational Drug Discovery Methods
Papers in
-
- Angiogenesis and VEGF in Cancer 3
- Protein Structure and Dynamics 2
- Ion channel regulation and function 2
- Nicotinic Acetylcholine Receptors Study 2
-
- Solid-state spectroscopy and crystallography 4
- Enzyme Structure and Function 2
- Co-authors
- David Silver (3 shared papers)Demis Hassabis (3 shared papers)Koray Kavukcuoglu (3 shared papers)James Kirkpatrick (2 shared papers)Alexander Nelson (2 shared papers)Alex Bridgland (2 shared papers)Stig Petersen (2 shared papers)Karen Simonyan (2 shared papers)
- Journals
- Neuron (2 papers)Solid State Nuclear Magnetic Resonance (1 paper)Journal of the American Chemical Society (1 paper)Clinical Cancer Research (1 paper)Chemistry of Materials (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Tim Green
18 papers receiving 3.3k citations
Tim Green's Hit Papers
Peers
Comparison fields: 5 of 186
- Health Informatics 56
- Computational Theory and Mathematics 431
- Molecular Biology 1.9k
- Structural Biology 25
- Cellular and Molecular Neuroscience 281
Countries citing papers authored by Tim Green
This map shows the geographic impact of Tim Green'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 Tim Green with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Green more than expected).
Fields of papers citing papers by Tim Green
This network shows the impact of papers produced by Tim Green. 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 Tim Green. The network helps show where Tim Green may publish in the future.
Co-authors
The 25 scholars most cited alongside Tim Green, 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 | Improved protein structure prediction using potentials from deep learning Hit paper breakdown → | 2020 | 2026 |
| 2 | Human-level performance in 3D multiplayer games with population-based reinforcement learning Hit paper breakdown → | 2019 | 349 |
| 3 | Protein structure prediction using multiple deep neural networks in the 13th Critical Assessment of Protein Structure Prediction (CASP13) Hit paper breakdown → | 2019 | 208 |
| 4 | 2004 | 108 | |
| 5 | 1997 | 104 | |
| 6 | 2005 | 101 | |
| 7 | 1995 | 99 | |
| 8 | 2012 | 95 | |
| 9 | 2016 | 63 | |
| 10 | 2007 | 44 | |
| 11 | 2006 | 40 | |
| 12 | 1998 | 24 | |
| 13 | 2005 | 23 | |
| 14 | 2015 | 23 | |
| 15 | 2016 | 14 | |
| 16 | 2008 | 10 | |
| 17 | 2003 | 8 | |
| 18 | 2025 | 1 |
About Tim Green
Tim Green is a scholar working on Molecular Biology, Materials Chemistry, Spectroscopy, Cellular and Molecular Neuroscience and Cancer Research, having authored 18 papers that have together received 3.3k indexed citations. Recurring topics across this work include Advanced NMR Techniques and Applications (4 papers), Solid-state spectroscopy and crystallography (4 papers), Angiogenesis and VEGF in Cancer (3 papers), Protein Structure and Dynamics (2 papers), Ion channel regulation and function (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Nicotinic Acetylcholine Receptors Study (2 papers) and Enzyme Structure and Function (2 papers). The work is most often cited by research in Health Informatics (56 citations), Computational Theory and Mathematics (431 citations), Molecular Biology (1.9k citations), Structural Biology (25 citations) and Cellular and Molecular Neuroscience (281 citations). Tim Green has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include David Silver, Demis Hassabis, Koray Kavukcuoglu, James Kirkpatrick, Alexander Nelson, Alex Bridgland, Stig Petersen, Karen Simonyan, Augustin Žídek and David T. Jones. Their work appears in journals such as Neuron, Solid State Nuclear Magnetic Resonance, Journal of the American Chemical Society, Clinical Cancer Research and Chemistry of Materials.
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.