Megan L. Smith
- Genetics top 10%
- Molecular Biology
- Ecological Modeling top 5%
- Ecology
- Ecology, Evolution, Behavior and Systematics top 10%
- Co-authors
- Bryan C. CarstensMatthew W. HahnJack SullivanDavid C. TankAnahí EspíndolaMegan RuffleyYang ZhengZhi Yan
- Topics
- Genetic diversity and population structure (18 papers)Genomics and Phylogenetic Studies (8 papers)Species Distribution and Climate Change (8 papers)
- Partner nations
- United StatesUnited KingdomBrazil
In The Last Decade
Megan L. Smith
31 papers receiving 474 citations
Peers
Comparison fields: 5 of 74
- Genetics 249
- Molecular Biology 179
- Ecological Modeling 105
- Ecology 102
- Ecology, Evolution, Behavior and Systematics 100
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 of co-authors of Megan L. Smith
This figure shows the co-authorship network connecting the top 25 collaborators of Megan L. Smith. A scholar is included among the top collaborators of Megan L. Smith based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Megan L. Smith. Megan L. Smith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 14 | |
| 4 | 15 | |
| 5 | 2 | |
| 6 | 10 | |
| 7 | 8 | |
| 8 | 9 | |
| 9 | 5 | |
| 10 | 12 | |
| 11 | 11 | |
| 12 | 49 | |
| 13 | 13 | |
| 14 | 8 | |
| 15 | The EGS Collab Project: Stimulation and Simulation | 3 |
| 16 | 13 | |
| 17 | 38 | |
| 18 | 10 | |
| 19 | An open trial of nifedipine-herb interactions Nifedipine with St Johns wort, Ginseng or Ginkgo biloba | 29 |
| 20 | Building Sustainable Service-Learning: The Case of Community-Based Watershed Management | 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) and Species Distribution and Climate Change (8 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.