Megan L. Smith
- Ecological Modeling top 5%
- Species Distribution and Climate Change 8
- Genetics top 10%
- Genetic diversity and population structure 18
- Genetic and phenotypic traits in livestock 4
- Paleontology top 10%
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- Ecology and Vegetation Dynamics Studies 4
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- Genomics and Phylogenetic Studies 8
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- Wildlife Ecology and Conservation 4
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- Mollusks and Parasites Studies 3
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- Chromosomal and Genetic Variations 3
- Co-authors
- Bryan C. CarstensMatthew W. HahnJack SullivanDavid C. TankAnahí EspíndolaMegan RuffleyYang ZhengZhi Yan
- Partner nations
- United StatesUnited KingdomBrazil
In The Last Decade
Megan L. Smith
31 papers receiving 474 citations
Peers
Comparison fields: 5 of 74
- Ecological Modeling 105
- Genetics 249
- Paleontology 41
- Ecology, Evolution, Behavior and Systematics 100
- Nature and Landscape Conservation 56
Countries citing papers authored by Megan L. Smith
This map shows the geographic impact of Megan L. 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 Megan L. Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Megan L. Smith more than expected).
Fields of papers citing papers by Megan L. Smith
This network shows the impact of papers produced by Megan L. 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 Megan L. Smith. The network helps show where Megan L. Smith may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Megan L. 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 | 2025 | 0 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 14 | |
| 4 | 2023 | 15 | |
| 5 | 2023 | 2 | |
| 6 | 2022 | 10 | |
| 7 | 2022 | 8 | |
| 8 | 2022 | 9 | |
| 9 | 2022 | 5 | |
| 10 | 2021 | 12 | |
| 11 | 2020 | 11 | |
| 12 | 2020 | 49 | |
| 13 | 2019 | 13 | |
| 14 | 2018 | 8 | |
| 15 | The EGS Collab Project: Stimulation and Simulation | 2018 | 3 |
| 16 | 2017 | 13 | |
| 17 | 2017 | 38 | |
| 18 | 2014 | 10 | |
| 19 | An open trial of nifedipine-herb interactions Nifedipine with St Johns wort, Ginseng or Ginkgo biloba | 2001 | 29 |
| 20 | Building Sustainable Service-Learning: The Case of Community-Based Watershed Management | 2001 | 3 |
About Megan L. Smith
Megan L. Smith is a scholar working on Ecological Modeling, Genetics and Metals and Alloys, having authored 33 papers that have together received 479 indexed citations. Recurring topics across this work include Genetic diversity and population structure (18 papers), Genomics and Phylogenetic Studies (8 papers), Species Distribution and Climate Change (8 papers), Genetic and phenotypic traits in livestock (4 papers), Wildlife Ecology and Conservation (4 papers), Ecology and Vegetation Dynamics Studies (4 papers), Mollusks and Parasites Studies (3 papers) and Chromosomal and Genetic Variations (3 papers). The work is most often cited by research in Ecological Modeling (105 citations), Genetics (249 citations) and Paleontology (41 citations). Megan L. Smith has collaborated with scholars based in United States, United Kingdom and Brazil. Frequent co-authors include Bryan C. Carstens, Matthew W. Hahn, Jack Sullivan, David C. Tank, Anahí Espíndola, Megan Ruffley, Yang Zheng, Zhi Yan, Peng Du and Luay Nakhleh. Their work appears in journals such as Bioinformatics, PLoS ONE and Trends in Ecology & Evolution.
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.