Thomas J. Struble
Impact in
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- Carbon dioxide utilization in catalysis
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- Computational Drug Discovery Methods
Papers in
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- Catalytic C–H Functionalization Methods 2
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- Computational Drug Discovery Methods 5
- Co-authors
- Klavs F. Jensen (8 shared papers)Connor W. Coley (6 shared papers)William H. Green (4 shared papers)Hanyu Gao (3 shared papers)Yuran Wang (1 shared paper)Jeffrey N. Johnston (4 shared papers)Mark C. Dobish (1 shared paper)Brandon Vara (1 shared paper)
- Journals
- Journal of the American Chemical Society (3 papers)Reaction Chemistry & Engineering (2 papers)ACS Catalysis (1 paper)The Journal of Organic Chemistry (1 paper)Catalysis Science & Technology (1 paper)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Thomas J. Struble
12 papers receiving 734 citations
Peers
Comparison fields: 5 of 61
- Process Chemistry and Technology 141
- Computational Theory and Mathematics 271
- Inorganic Chemistry 162
- Materials Chemistry 362
- Catalysis 52
Countries citing papers authored by Thomas J. Struble
This map shows the geographic impact of Thomas J. Struble'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 J. Struble with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas J. Struble more than expected).
Fields of papers citing papers by Thomas J. Struble
This network shows the impact of papers produced by Thomas J. Struble. 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 J. Struble. The network helps show where Thomas J. Struble may publish in the future.
Co-authors
The 25 scholars most cited alongside Thomas J. Struble, 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 | 2018 | 296 | |
| 2 | 2020 | 118 | |
| 3 | 2015 | 114 | |
| 4 | 2018 | 67 | |
| 5 | 2020 | 47 | |
| 6 | 2018 | 26 | |
| 7 | 2025 | 26 | |
| 8 | 2020 | 14 | |
| 9 | 2021 | 10 | |
| 10 | 2019 | 10 | |
| 11 | 2025 | 8 | |
| 12 | 2020 | 8 |
About Thomas J. Struble
Thomas J. Struble is a scholar working on Organic Chemistry, Computational Theory and Mathematics, Biomedical Engineering, Inorganic Chemistry and Materials Chemistry, having authored 12 papers that have together received 744 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (5 papers), Asymmetric Hydrogenation and Catalysis (4 papers), Machine Learning in Materials Science (4 papers), Innovative Microfluidic and Catalytic Techniques Innovation (4 papers), Carbon dioxide utilization in catalysis (3 papers), Catalytic C–H Functionalization Methods (2 papers), Chemical Synthesis and Analysis (2 papers) and CO2 Reduction Techniques and Catalysts (1 paper). The work is most often cited by research in Process Chemistry and Technology (141 citations), Computational Theory and Mathematics (271 citations), Inorganic Chemistry (162 citations), Materials Chemistry (362 citations) and Catalysis (52 citations). Thomas J. Struble has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Klavs F. Jensen, Connor W. Coley, William H. Green, Hanyu Gao, Yuran Wang, Jeffrey N. Johnston, Mark C. Dobish, Brandon Vara, Weiwei Wang and Haoyang Wu. Their work appears in journals such as Journal of the American Chemical Society, Reaction Chemistry & Engineering, ACS Catalysis, The Journal of Organic Chemistry and Catalysis Science & Technology.
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.