Tom Smith
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Rheumatology top 5%
- Rheumatoid Arthritis Research and Therapies
Papers in
- Ecology 10
- Microbial Community Ecology and Physiology 6
- Physiological and biochemical adaptations 4
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- Soil Carbon and Nitrogen Dynamics 3
- Co-authors
- Samraat S. Pawar (8 shared papers)Robert T. Dillon (2 shared papers)Amy R. Wethington (2 shared papers)Joshua Matthew Rhett (1 shared paper)Thomas Bell (7 shared papers)Timothy G. Barraclough (4 shared papers)Ronald T. Raines (3 shared papers)Tom Clegg (3 shared papers)
- Journals
- PLoS Biology (2 papers)ACS Chemical Biology (1 paper)Communications Biology (1 paper)Science Advances (1 paper)Journal of Neurophysiology (1 paper)
- Partner nations
- United KingdomUnited StatesIreland
In The Last Decade
Tom Smith
33 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 110
- Modeling and Simulation 57
- Rheumatology 150
- Insect Science 94
- Ecology 201
- Molecular Biology 344
Countries citing papers authored by Tom Smith
This map shows the geographic impact of Tom Smith'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 Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Smith more than expected).
Fields of papers citing papers by Tom Smith
This network shows the impact of papers produced by Tom Smith. 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 Smith. The network helps show where Tom Smith may publish in the future.
Co-authors
The 25 scholars most cited alongside Tom Smith, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 211 | |
| 2 | 2020 | 151 | |
| 3 | 2002 | 135 | |
| 4 | 2021 | 92 | |
| 5 | 2019 | 83 | |
| 6 | 2015 | 81 | |
| 7 | 2018 | 79 | |
| 8 | 2011 | 67 | |
| 9 | 2012 | 59 | |
| 10 | 2015 | 58 | |
| 11 | 2020 | 43 | |
| 12 | 2021 | 42 | |
| 13 | 2021 | 40 | |
| 14 | 2014 | 39 | |
| 15 | 2017 | 32 | |
| 16 | 2024 | 31 | |
| 17 | 2021 | 28 | |
| 18 | 2018 | 26 | |
| 19 | 2022 | 25 | |
| 20 | 1990 | 23 |
About Tom Smith
Tom Smith is a scholar working on Ecology, Soil Science, Modeling and Simulation, Ecology, Evolution, Behavior and Systematics and Infectious Diseases, having authored 36 papers that have together received 1.5k indexed citations. Recurring topics across this work include Microbial Community Ecology and Physiology (6 papers), Physiological and biochemical adaptations (4 papers), bioluminescence and chemiluminescence research (3 papers), Soil Carbon and Nitrogen Dynamics (3 papers), Aquatic Ecosystems and Phytoplankton Dynamics (2 papers), Click Chemistry and Applications (2 papers), Evolution and Genetic Dynamics (2 papers) and Antimicrobial Resistance in Staphylococcus (2 papers). The work is most often cited by research in Modeling and Simulation (57 citations), Rheumatology (150 citations), Insect Science (94 citations), Ecology (201 citations) and Molecular Biology (344 citations). Tom Smith has collaborated with scholars based in United Kingdom, United States and Ireland. Frequent co-authors include Samraat S. Pawar, Robert T. Dillon, Amy R. Wethington, Joshua Matthew Rhett, Thomas Bell, Timothy G. Barraclough, Ronald T. Raines, Tom Clegg, Gabriela Popescu and Sherry R. Chemler. Their work appears in journals such as PLoS Biology, ACS Chemical Biology, Communications Biology, Science Advances and Journal of Neurophysiology.
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.