Thomas G. Steele
Impact in
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- Computational Drug Discovery Methods
- Pharmacology top 10%
- Cholinesterase and Neurodegenerative Diseases
Papers in
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- Protein Structure and Dynamics 3
- Glycosylation and Glycoproteins Research 1
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- Alzheimer's disease research and treatments 4
- Co-authors
- Craig A. Coburn (5 shared papers)Shawn J. Stachel (6 shared papers)Samuel Graham (5 shared papers)Joseph P. Vacca (4 shared papers)Adam J. Simon (3 shared papers)Beth Pietrak (3 shared papers)Ming‐Tain Lai (3 shared papers)M. Katharine Holloway (3 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (4 papers)Tetrahedron Letters (1 paper)Analytical Biochemistry (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)
- Partner nations
- United States
In The Last Decade
Thomas G. Steele
8 papers receiving 286 citations
Peers
Comparison fields: 5 of 48
- Computational Theory and Mathematics 143
- Pharmacology 113
- Physiology 156
- Organic Chemistry 53
- Molecular Biology 108
Countries citing papers authored by Thomas G. Steele
This map shows the geographic impact of Thomas G. Steele'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 Thomas G. Steele with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas G. Steele more than expected).
Fields of papers citing papers by Thomas G. Steele
This network shows the impact of papers produced by Thomas G. Steele. 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 Thomas G. Steele. The network helps show where Thomas G. Steele may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas G. Steele, 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 | 2007 | 85 | |
| 2 | 2005 | 56 | |
| 3 | 2006 | 49 | |
| 4 | 2005 | 37 | |
| 5 | 2011 | 24 | |
| 6 | 1998 | 24 | |
| 7 | 2008 | 19 | |
| 8 | The outdoor situational fear inventory: a newer measure of an older instrument | 1995 | 1 |
| 9 | 1970 | 1 | |
| 10 | 1970 | 0 |
About Thomas G. Steele
Thomas G. Steele is a scholar working on Molecular Biology, Physiology, Organic Chemistry, Computational Theory and Mathematics and Pharmacology, having authored 10 papers that have together received 296 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (4 papers), Protein Structure and Dynamics (3 papers), Computational Drug Discovery Methods (2 papers), Glycosylation and Glycoproteins Research (1 paper), Enzyme Structure and Function (1 paper), Amino Acid Enzymes and Metabolism (1 paper), Cholinesterase and Neurodegenerative Diseases (1 paper) and Drug Transport and Resistance Mechanisms (1 paper). The work is most often cited by research in Computational Theory and Mathematics (143 citations), Pharmacology (113 citations), Physiology (156 citations), Organic Chemistry (53 citations) and Molecular Biology (108 citations). Thomas G. Steele has collaborated with scholars based in United States. Frequent co-authors include Craig A. Coburn, Shawn J. Stachel, Samuel Graham, Joseph P. Vacca, Adam J. Simon, Beth Pietrak, Ming‐Tain Lai, M. Katharine Holloway, Sanjeev Munshi and Katherine Tugusheva. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Tetrahedron Letters, Analytical Biochemistry and Journal of Pharmacology and Experimental Therapeutics.
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.