Tom Oldfield
Impact in
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- Computational Drug Discovery Methods
- Molecular Biology top 10%
- Protein Structure and Dynamics
- Chemical Synthesis and Analysis
- RNA and protein synthesis mechanisms
Papers in
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- Protein Structure and Dynamics 5
- Porphyrin Metabolism and Disorders 2
- RNA and protein synthesis mechanisms 1
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- Enzyme Structure and Function 6
- Co-authors
- Xiaoman Jiang (1 shared paper)C. M. Venkatachalam (1 shared paper)Marvin Waldman (1 shared paper)Roderick E. Hubbard (2 shared papers)Dimitris Dimitropoulos (1 shared paper)Kim Henrick (1 shared paper)Adel Golovin (1 shared paper)Stephen J. Smerdon (1 shared paper)
- Journals
- Proteins Structure Function and Bioinformatics (2 papers)Journal of Applied Crystallography (1 paper)Journal of Molecular Graphics and Modelling (1 paper)Protein Engineering Design and Selection (1 paper)Methods in enzymology on CD-ROM/Methods in enzymology (1 paper)
- Partner nations
- United KingdomRussiaUnited States
In The Last Decade
Tom Oldfield
8 papers receiving 1.0k citations
Tom Oldfield's Hit Papers
Peers
Comparison fields: 5 of 107
- Computational Theory and Mathematics 457
- Molecular Biology 757
- Pharmacology 110
- Organic Chemistry 200
- Pharmacology 56
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-authors
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 | LigandFit: a novel method for the shape-directed rapid docking of ligands to protein active sites Hit paper breakdown → | 2002 | 861 |
| 2 | 2004 | 91 | |
| 3 | 1994 | 73 | |
| 4 | 2001 | 38 | |
| 5 | 1988 | 25 | |
| 6 | 1991 | 14 | |
| 7 | 2003 | 6 | |
| 8 | 2016 | 2 |
About Tom Oldfield
Tom Oldfield is a scholar working on Molecular Biology, Materials Chemistry, Computational Theory and Mathematics, Civil and Structural Engineering and Radiology, Nuclear Medicine and Imaging, having authored 8 papers that have together received 1.1k 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), RNA and protein synthesis mechanisms (1 paper), Advanced Proteomics Techniques and Applications (1 paper), Geotechnical Engineering and Underground Structures (1 paper) and Structural Integrity and Reliability Analysis (1 paper). The work is most often cited by research in Computational Theory and Mathematics (457 citations), Molecular Biology (757 citations), Pharmacology (110 citations), Organic Chemistry (200 citations) and Pharmacology (56 citations). Tom Oldfield has collaborated with scholars based in United Kingdom, Russia and United States. Frequent co-authors include Xiaoman Jiang, C. M. Venkatachalam, Marvin Waldman, Roderick E. Hubbard, Dimitris Dimitropoulos, Kim Henrick, Adel Golovin, Stephen J. Smerdon, R.L. Brady and Anthony J. Wilkinson. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Journal of Applied Crystallography, Journal of Molecular Graphics and Modelling, Protein Engineering Design and Selection 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.