Tim Green

78.5k total citations · 3 hit papers
18 papers, 3.3k citations indexed

About

Tim Green is a scholar working on Molecular Biology, Materials Chemistry and Spectroscopy. According to data from OpenAlex, Tim Green has authored 18 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Materials Chemistry and 4 papers in Spectroscopy. Recurrent topics in Tim Green's work include Advanced NMR Techniques and Applications (4 papers), Solid-state spectroscopy and crystallography (4 papers) and Angiogenesis and VEGF in Cancer (3 papers). Tim Green is often cited by papers focused on Advanced NMR Techniques and Applications (4 papers), Solid-state spectroscopy and crystallography (4 papers) and Angiogenesis and VEGF in Cancer (3 papers). Tim Green collaborates with scholars based in United Kingdom, United States and Germany. Tim Green's co-authors include Demis Hassabis, David Silver, Koray Kavukcuoglu, Pushmeet Kohli, Chongli Qin, John Jumper, Karen Simonyan, David T. Jones, Augustin Žídek and Stig Petersen and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Tim Green

18 papers receiving 3.3k citations

Hit Papers

Improved protein structure prediction using potentials fr... 2019 2026 2021 2023 2020 2019 2019 500 1000 1.5k 2.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tim Green United Kingdom 15 1.9k 656 480 431 281 18 3.3k
Sanghyun Park South Korea 38 2.5k 1.4× 382 0.6× 746 1.6× 346 0.8× 264 0.9× 245 4.9k
Toni Giorgino Italy 23 1.9k 1.0× 605 0.9× 420 0.9× 418 1.0× 134 0.5× 63 4.0k
Leslie A. Kuhn United States 33 3.2k 1.7× 908 1.4× 456 0.9× 919 2.1× 184 0.7× 73 4.8k
John Jumper United States 15 4.1k 2.2× 1.3k 1.9× 335 0.7× 609 1.4× 134 0.5× 24 5.7k
Ron Unger Israel 35 2.7k 1.4× 668 1.0× 306 0.6× 166 0.4× 65 0.2× 147 4.3k
Slobodan Vučetić United States 28 3.8k 2.1× 1.0k 1.6× 723 1.5× 176 0.4× 98 0.3× 137 5.6k
Michael S. Marshall United States 31 907 0.5× 600 0.9× 563 1.2× 279 0.6× 57 0.2× 72 4.1k
Daniel Svozil Czechia 27 2.9k 1.6× 438 0.7× 304 0.6× 406 0.9× 57 0.2× 56 4.7k
Nathaniel Saul United States 5 1.8k 1.0× 238 0.4× 837 1.7× 352 0.8× 95 0.3× 6 4.7k

Countries citing papers authored by Tim Green

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Tim Green

This figure shows the co-authorship network connecting the top 25 collaborators of Tim Green. A scholar is included among the top collaborators of Tim Green based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tim Green. Tim Green is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Jiang, Jessica, Nehzat Koohi, Jeremy C. S. Johnson, et al.. (2025). Hearing impairment and dementia: cause, catalyst or consequence?. Journal of Neurology. 272(6). 402–402. 1 indexed citations
2.
Senior, Andrew, John Jumper, James Kirkpatrick, et al.. (2020). Improved protein structure prediction using potentials from deep learning. Nature. 577(7792). 706–710. 2026 indexed citations breakdown →
3.
Jaderberg, Max, Wojciech Marian Czarnecki, Iain Dunning, et al.. (2019). Human-level performance in 3D multiplayer games with population-based reinforcement learning. Science. 364(6443). 859–865. 349 indexed citations breakdown →
4.
Senior, Andrew, John Jumper, James Kirkpatrick, et al.. (2019). Protein structure prediction using multiple deep neural networks in the 13th Critical Assessment of Protein Structure Prediction (CASP13). Proteins Structure Function and Bioinformatics. 87(12). 1141–1148. 208 indexed citations breakdown →
5.
Sturniolo, Simone, Tim Green, Robert M. Hanson, et al.. (2016). Visualization and processing of computed solid-state NMR parameters: MagresView and MagresPython. Solid State Nuclear Magnetic Resonance. 78. 64–70. 63 indexed citations
6.
Camacho, Paula Sanz, David McKay, Daniel M. Dawson, et al.. (2016). Investigating Unusual Homonuclear Intermolecular “Through-Space” J Couplings in Organochalcogen Systems. Inorganic Chemistry. 55(21). 10881–10887. 14 indexed citations
7.
Camacho, Paula Sanz, Kasun S. Athukorala Arachchige, Alexandra M. Z. Slawin, et al.. (2015). Unusual Intermolecular “Through-Space” J Couplings in P–Se Heterocycles. Journal of the American Chemical Society. 137(19). 6172–6175. 23 indexed citations
8.
Florian, Pierre, Emmanuel Véron, Tim Green, Jonathan R. Yates, & Dominique Massiot. (2012). Elucidation of the Al/Si Ordering in Gehlenite Ca2Al2SiO7 by Combined 29Si and 27Al NMR Spectroscopy/Quantum Chemical Calculations. Chemistry of Materials. 24(21). 4068–4079. 95 indexed citations
9.
Zhang, Yihong, Naushaba Nayeem, & Tim Green. (2008). Mutations to the Kainate Receptor Subunit GluR6 Binding Pocket That Selectively Affect Domoate Binding. Molecular Pharmacology. 74(4). 1163–1169. 10 indexed citations
10.
Ischenko, Ivan, Markus Guba, Maksim Yezhelyev, et al.. (2007). Effect of Src kinase inhibition on metastasis and tumor angiogenesis in human pancreatic cancer. Angiogenesis. 10(3). 167–182. 44 indexed citations
11.
Hiscox, Stephen, L. Morgan, Tim Green, & Robert I. Nicholson. (2006). Src as a therapeutic target in anti-hormone/anti-growth factor-resistant breast cancer. Endocrine Related Cancer. 13(Supplement_1). S53–S59. 40 indexed citations
12.
Nanao, Max, Tim Green, Yael Stern-Bach, Stephen F. Heinemann, & Senyon Choe. (2005). Structure of the kainate receptor subunit GluR6 agonist-binding domain complexed with domoic acid. Proceedings of the National Academy of Sciences. 102(5). 1708–1713. 101 indexed citations
13.
Barlaam, Bernard, Tim Green, Laurent Hennequin, et al.. (2005). New heterocyclic analogues of 4-(2-chloro-5-methoxyanilino)quinazolines as potent and selective c-Src kinase inhibitors. Bioorganic & Medicinal Chemistry Letters. 15(24). 5446–5449. 23 indexed citations
14.
Yezhelyev, Maksim, Gudrun E. Koehl, Markus Guba, et al.. (2004). Inhibition of Src Tyrosine Kinase as Treatment for Human Pancreatic Cancer Growing Orthotopically in Nude Mice. Clinical Cancer Research. 10(23). 8028–8036. 108 indexed citations
15.
Wheeler, Catherine, T C Stephens, Tim Green, et al.. (2003). Novel approaches in oncology at AstraZeneca. European Journal of Cancer Supplements. 1(8). 3–8. 8 indexed citations
16.
Green, Tim, et al.. (1998). Molecular Neurobiology and Genetics: Investigation of Neural Function and Dysfunction. Neuron. 20(3). 427–444. 24 indexed citations
17.
Swanson, Geoffrey T., Robert W. Gereau, Tim Green, & Stephen F. Heinemann. (1997). Identification of Amino Acid Residues that Control Functional Behavior in GluR5 and GluR6 Kainate Receptors. Neuron. 19(4). 913–926. 104 indexed citations
18.
Green, Tim, Kathrin A. Stauffer, & Sarah C. R. Lummis. (1995). Expression of Recombinant Homo-oligomeric 5-Hydroxytryptamine3 Receptors Provides New Insights into Their Maturation and Structure. Journal of Biological Chemistry. 270(11). 6056–6061. 99 indexed citations

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.

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