Tom Oldfield

1.3k citations
8 papers · 1.0k · 1 hit paper · h-index 6

Impact in

Papers in

Tom Oldfield

8 papers receiving 988 citations

Tom Oldfield's Hit Papers

LigandFit: a novel method for the shape-directed rapid docking of ligands to protein active sites 2002 · 803 citations
8030+8+16Years since publication250500750

Peers

Tom Oldfield
Comparison fields: 5 of 105
  • Computational Theory and Mathematics 410
  • Molecular Biology 704
  • Pharmacology 100
  • Organic Chemistry 181
  • Pharmacology 51
Replace Mingyun Shen with:
Mingyun Shen China
Miriam Sgobba Italy
Vincent Le Guilloux France
Andrew Smellie United States
Lazaros Mavridis United Kingdom
Sathesh Bhat United States
Mark McGann United States
Bohdan Waszkowycz United Kingdom
James L. Kofron United States
R. P. Bywater United Kingdom
Tom Oldfield relative to Mingyun Shen China Mingyun Shen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Tom Oldfield

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Tom Oldfield Line = papers co-authored together Tom Oldfield links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1
LigandFit: a novel method for the shape-directed rapid docking of ligands to protein active sites
Hit paper breakdown →
2002803
2 200487
3 199469
4 200137
5 198822
6 199113
7 20035
8 20162

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 1.0k 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), 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 (410 citations), Molecular Biology (704 citations), Pharmacology (100 citations), Organic Chemistry (181 citations) and Pharmacology (51 citations). Tom Oldfield has collaborated with scholars based in United Kingdom, Russia and United States. Frequent co-authors include Marvin Waldman, C. M. Venkatachalam, Xiaoman Jiang, Roderick E. Hubbard, Adel Golovin, Dimitris Dimitropoulos, Kim Henrick, T.A. Ceska, R.L. Brady and Guy Dodson. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Protein Engineering Design and Selection, Journal of Applied Crystallography, Journal of Molecular Graphics and Modelling 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.

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