Tom Oldfield
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- Computational Drug Discovery Methods 3
- Molecular Biology top 10%
- Protein Structure and Dynamics 5
- Porphyrin Metabolism and Disorders 2
- Cancer therapeutics and mechanisms 1
- Organic Chemistry top 10%
- Pharmacology top 10%
- Pharmacology top 10%
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- Enzyme Structure and Function 6
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- Non-Destructive Testing Techniques 1
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- Monoclonal and Polyclonal Antibodies Research 1
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- Advanced Proteomics Techniques and Applications 1
- Co-authors
- C. M. VenkatachalamXiaoman JiangMarvin WaldmanRoderick E. HubbardAdel GolovinKim HenrickDimitris DimitropoulosR.L. Brady
- Journals
- Proteins Structure Function and Bioinformatics (2 papers)Journal of Molecular Graphics and Modelling (1 paper)Protein Engineering Design and Selection (1 paper)
- Partner nations
- United KingdomUnited StatesRussia
In The Last Decade
Tom Oldfield
8 papers receiving 979 citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Computational Theory and Mathematics 431
- Molecular Biology 741
- Organic Chemistry 189
- Pharmacology 106
- Pharmacology 54
Countries citing papers authored by Tom Oldfield
This map shows the geographic impact of Tom Oldfield'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 Tom Oldfield with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Oldfield more than expected).
Fields of papers citing papers by Tom Oldfield
This network shows the impact of papers produced by Tom Oldfield. 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 Tom Oldfield. The network helps show where Tom Oldfield may publish in the future.
Co-authorship network
The 12 scholars most cited alongside Tom Oldfield, 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 | 2016 | 2 | |
| 2 | 2004 | 85 | |
| 3 | 2003 | 5 | |
| 4 | LigandFit: a novel method for the shape-directed rapid docking of ligands to protein active sitesbreakdown → | 2002 | 801 |
| 5 | 2001 | 36 | |
| 6 | 1994 | 69 | |
| 7 | 1991 | 13 | |
| 8 | 1988 | 22 |
About Tom Oldfield
Tom Oldfield is a scholar working on Computational Theory and Mathematics, Materials Chemistry, Molecular Biology, Cell Biology and Spectroscopy, having authored 8 papers that have together received 1.0k indexed citations. Recurring topics across this work include Enzyme Structure and Function (6 papers), Protein Structure and Dynamics (5 papers), Computational Drug Discovery Methods (3 papers), Porphyrin Metabolism and Disorders (2 papers), Cancer therapeutics and mechanisms (1 paper), Non-Destructive Testing Techniques (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper) and Advanced Proteomics Techniques and Applications (1 paper). The work is most often cited by research in Computational Theory and Mathematics (431 citations), Molecular Biology (741 citations), Organic Chemistry (189 citations), Pharmacology (106 citations) and Pharmacology (54 citations). Tom Oldfield has collaborated with scholars based in United Kingdom, United States and Russia. Frequent co-authors include C. M. Venkatachalam, Xiaoman Jiang, Marvin Waldman, Roderick E. Hubbard, Adel Golovin, Kim Henrick, Dimitris Dimitropoulos, R.L. Brady, Stephen J. Smerdon and Guy Dodson. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Journal of Molecular Graphics and Modelling, Protein Engineering Design and Selection, Journal of Applied Crystallography and Methods in enzymology on CD-ROM/Methods in enzymology.
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.