Tom Smith
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Ecology top 10%
- Microbial Community Ecology and Physiology
- Physiological and biochemical adaptations
Papers in
- Ecology 10
- Microbial Community Ecology and Physiology 5
- Physiological and biochemical adaptations 4
-
- Gut microbiota and health 3
- Genomics and Phylogenetic Studies 2
- Protist diversity and phylogeny 2
- Co-authors
- Samraat Pawar (8 shared papers)Thomas Bell (6 shared papers)Timothy G. Barraclough (4 shared papers)Tom Clegg (3 shared papers)Bernardo García‐Carreras (2 shared papers)Chiara Boschetti (2 shared papers)Alan Tunnacliffe (2 shared papers)Sofía Sal (2 shared papers)
- Journals
- PLoS Biology (2 papers)Scientific Reports (1 paper)BMC Biology (1 paper)The ISME Journal (1 paper)Data in Brief (1 paper)
- Partner nations
- United KingdomUnited StatesGermany
In The Last Decade
Tom Smith
16 papers receiving 491 citations
Peers
Comparison fields: 5 of 89
- Modeling and Simulation 61
- Ecology 186
- Ecological Modeling 27
- Soil Science 31
- Ecology, Evolution, Behavior and Systematics 58
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
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 84 | |
| 2 | 2019 | 71 | |
| 3 | 2015 | 63 | |
| 4 | 2018 | 59 | |
| 5 | 2014 | 36 | |
| 6 | 2021 | 31 | |
| 7 | 2021 | 30 | |
| 8 | 2018 | 24 | |
| 9 | 2024 | 19 | |
| 10 | 2020 | 19 | |
| 11 | 2015 | 18 | |
| 12 | 2022 | 17 | |
| 13 | 2019 | 15 | |
| 14 | 2024 | 4 | |
| 15 | 2025 | 3 | |
| 16 | 2022 | 2 | |
| 17 | 2025 | 0 | |
| 18 | 2025 | 0 |
About Tom Smith
Tom Smith is a scholar working on Ecology, Molecular Biology, Genetics, Ecology, Evolution, Behavior and Systematics and Nature and Landscape Conservation, having authored 18 papers that have together received 495 indexed citations. Recurring topics across this work include Evolution and Genetic Dynamics (7 papers), Microbial Community Ecology and Physiology (5 papers), Physiological and biochemical adaptations (4 papers), Gut microbiota and health (3 papers), Insect and Arachnid Ecology and Behavior (2 papers), Genomics and Phylogenetic Studies (2 papers), Plant and animal studies (2 papers) and Protist diversity and phylogeny (2 papers). The work is most often cited by research in Modeling and Simulation (61 citations), Ecology (186 citations), Ecological Modeling (27 citations), Soil Science (31 citations) and Ecology, Evolution, Behavior and Systematics (58 citations). Tom Smith has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Samraat Pawar, Thomas Bell, Timothy G. Barraclough, Tom Clegg, Bernardo García‐Carreras, Chiara Boschetti, Alan Tunnacliffe, Sofía Sal, Alastair Crisp and Diego Fontaneto. Their work appears in journals such as PLoS Biology, Scientific Reports, BMC Biology, The ISME Journal and Data in Brief.
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.