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
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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)Sanjeev Munshi (3 shared papers)Beth Pietrak (3 shared papers)Katherine Tugusheva (3 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (4 papers)Journal of Pharmacology and Experimental Therapeutics (1 paper)Tetrahedron Letters (1 paper)Analytical Biochemistry (1 paper)
- Partner nations
- United States
In The Last Decade
Thomas G. Steele
8 papers receiving 274 citations
Peers
Comparison fields: 5 of 49
- Computational Theory and Mathematics 147
- Pharmacology 114
- Physiology 153
- Organic Chemistry 48
- Molecular Biology 114
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 | 83 | |
| 2 | 2005 | 55 | |
| 3 | 2006 | 45 | |
| 4 | 2005 | 37 | |
| 5 | 2011 | 22 | |
| 6 | 1998 | 22 | |
| 7 | 2008 | 17 | |
| 8 | The outdoor situational fear inventory: a newer measure of an older instrument | 1995 | 1 |
| 9 | 1970 | 1 |
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 9 papers that have together received 283 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), Cholinesterase and Neurodegenerative Diseases (1 paper), Supramolecular Self-Assembly in Materials (1 paper), Synthesis and Biological Evaluation (1 paper), Synthesis and biological activity (1 paper) and Enzyme Production and Characterization (1 paper). The work is most often cited by research in Computational Theory and Mathematics (147 citations), Pharmacology (114 citations), Physiology (153 citations), Organic Chemistry (48 citations) and Molecular Biology (114 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, Sanjeev Munshi, Beth Pietrak, Katherine Tugusheva, Ming‐Tain Lai and M. Katharine Holloway. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Pharmacology and Experimental Therapeutics, Tetrahedron Letters and Analytical Biochemistry.
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.