Steve Smith
- Aging top 1%
- Genetics, Aging, and Longevity in Model Organisms 14
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- Bat Biology and Ecology Studies 11
- Ecology top 5%
- Wildlife Ecology and Conservation 13
- Environmental DNA in Biodiversity Studies 6
- Physiology top 5%
- Telomeres, Telomerase, and Senescence 15
- Ecological Modeling top 5%
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- Genetic diversity and population structure 21
- Genetic and phenotypic traits in livestock 12
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- Molecular Biology Techniques and Applications 6
- Co-authors
- Phillip A. MorinLuciano B. BeheregarayLouis BernatchezThomas RufChristopher TurbillFranz HoelzlNorman M. RatcliffeChris Probert
- Partner nations
- AustriaUnited StatesUnited Kingdom
In The Last Decade
Steve Smith
88 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Aging 200
- Ecology, Evolution, Behavior and Systematics 518
- Ecology 631
- Physiology 579
- Ecological Modeling 95
Countries citing papers authored by Steve Smith
This map shows the geographic impact of Steve 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 Steve Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Smith more than expected).
Fields of papers citing papers by Steve Smith
This network shows the impact of papers produced by Steve 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 Steve Smith. The network helps show where Steve Smith may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Steve 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 | 2024 | 1 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2023 | 0 | |
| 6 | 2023 | 1 | |
| 7 | 2021 | 10 | |
| 8 | 2020 | 21 | |
| 9 | 2020 | 2 | |
| 10 | 2018 | 36 | |
| 11 | 2018 | 34 | |
| 12 | 2017 | 17 | |
| 13 | 2017 | 19 | |
| 14 | 2016 | 14 | |
| 15 | Cuban voices: A case study of English language teacher education | 2016 | 2 |
| 16 | 2014 | 50 | |
| 17 | 2013 | 141 | |
| 18 | Fecal Microbiome and Volatile Organic Compound Metabolome in Obese Humans With Nonalcoholic Fatty Liver Diseasebreakdown → | 2013 | 552 |
| 19 | 2012 | 22 | |
| 20 | 1995 | 2 |
About Steve Smith
Steve Smith is a scholar working on Aging, Ecology, Ecological Modeling, Ecology, Evolution, Behavior and Systematics and Genetics, having authored 93 papers that have together received 2.5k indexed citations. Recurring topics across this work include Genetic diversity and population structure (21 papers), Telomeres, Telomerase, and Senescence (15 papers), Genetics, Aging, and Longevity in Model Organisms (14 papers), Wildlife Ecology and Conservation (13 papers), Genetic and phenotypic traits in livestock (12 papers), Bat Biology and Ecology Studies (11 papers), Molecular Biology Techniques and Applications (6 papers) and Environmental DNA in Biodiversity Studies (6 papers). The work is most often cited by research in Aging (200 citations), Ecology, Evolution, Behavior and Systematics (518 citations), Ecology (631 citations), Physiology (579 citations) and Ecological Modeling (95 citations). Steve Smith has collaborated with scholars based in Austria, United States and United Kingdom. Frequent co-authors include Phillip A. Morin, Luciano B. Beheregaray, Louis Bernatchez, Thomas Ruf, Christopher Turbill, Franz Hoelzl, Norman M. Ratcliffe, Chris Probert, Rosemary Greenwood and Maitreyi Raman. Their work appears in journals such as Scientific Reports, Molecular Ecology, Biology Letters, Conservation Genetics and PLoS ONE.
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.