Glen Stecher
Impact in
- Plant Science top 0.01%
- Plant-Microbe Interactions and Immunity
- Plant Virus Research Studies
- Plant Molecular Biology Research
- Parasitology top 0.01%
Papers in
-
- Species Distribution and Climate Change 2
- Genetics 10
- Genetic diversity and population structure 7
- Evolution and Genetic Dynamics 6
- Genomics and Rare Diseases 1
Glen Stecher
12 papers receiving 150.9k citations
Hit Papers
Peers
Comparison fields: 5 of 199
- Plant Science 47.6k
- Parasitology 8.0k
- Ecology 30.8k
- Endocrinology 6.0k
- Horticulture 1.1k
Countries citing papers authored by Glen Stecher
This map shows the geographic impact of Glen Stecher'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 Glen Stecher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Glen Stecher more than expected).
Fields of papers citing papers by Glen Stecher
This network shows the impact of papers produced by Glen Stecher. 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 Glen Stecher. The network helps show where Glen Stecher may publish in the future.
Co-authorship network
The 16 scholars most cited alongside Glen Stecher, 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 | 2025 | 0 | |
| 3 | MEGA12: Molecular Evolutionary Genetic Analysis Version 12 for Adaptive and Green Computing Hit paper breakdown → | 2024 | 196 |
| 4 | TimeTree 5: An Expanded Resource for Species Divergence Times Hit paper breakdown → | 2022 | 656 |
| 5 | MEGA11: Molecular Evolutionary Genetics Analysis Version 11 Hit paper breakdown → | 2021 | 11500 |
| 6 | Molecular Evolutionary Genetics Analysis (MEGA) for macOS Hit paper breakdown → | 2019 | 1136 |
| 7 | MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms Hit paper breakdown → | 2018 | 27005 |
| 8 | TimeTree: A Resource for Timelines, Timetrees, and Divergence Times Hit paper breakdown → | 2017 | 1847 |
| 9 | MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets Hit paper breakdown → | 2016 | 34840 |
| 10 | 2014 | 32 | |
| 11 | MEGA6: Molecular Evolutionary Genetics Analysis Version 6.0 Hit paper breakdown → | 2013 | 40603 |
| 12 | Brief Communication MEGA6: Molecular Evolutionary Genetics Analysis Version 6.0 | 2013 | 15 |
| 13 | 2012 | 267 | |
| 14 | MEGA5: Molecular Evolutionary Genetics Analysis Using Maximum Likelihood, Evolutionary Distance, and Maximum Parsimony Methods Hit paper breakdown → | 2011 | 35449 |
About Glen Stecher
Glen Stecher is a scholar working on Ecological Modeling, Genetics, Molecular Biology, Artificial Intelligence and Ecology, having authored 14 papers that have together received 153.5k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (13 papers), Genetic diversity and population structure (7 papers), Evolution and Genetic Dynamics (6 papers), Evolutionary Algorithms and Applications (3 papers), Species Distribution and Climate Change (2 papers), Machine Learning in Bioinformatics (1 paper), Microbial Community Ecology and Physiology (1 paper) and Genomics and Rare Diseases (1 paper). The work is most often cited by research in Plant Science (47.6k citations), Parasitology (8.0k citations), Ecology (30.8k citations), Endocrinology (6.0k citations) and Horticulture (1.1k citations). Glen Stecher has collaborated with scholars based in United States, Japan and Saudi Arabia. Frequent co-authors include Sudhir Kumar, Koichiro Tamura, Daniel S. Peterson, Alan Filipski, Daniel G. Peterson, M Nei, Michael Li, Michael Suleski, S. Blair Hedges and Maxwell Sanderford. Their work appears in journals such as Molecular Biology and Evolution, Bioinformatics and Journal of Molecular 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.