Wayne Law
Impact in
- Ecological Modeling top 10%
- Species Distribution and Climate Change
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- Ecology and Vegetation Dynamics Studies
Papers in
-
- Ethnobotanical and Medicinal Plants Studies 3
- Botany, Ecology, and Taxonomy Studies 2
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- Biomedical Text Mining and Ontologies 3
- Co-authors
- Jan Salick (5 shared papers)Anja Byg (2 shared papers)Tiffany M. Knight (1 shared paper)Bee F. Gunn (1 shared paper)Anthony S. Amend (1 shared paper)Scott A. Mori (1 shared paper)Nathan P. Smith (1 shared paper)Michael J. Balick (4 shared papers)
- Journals
- Biodiversity and Conservation (1 paper)Phytomedicine (1 paper)Economic Botany (1 paper)Diversity (1 paper)Plant Ecology (1 paper)
- Partner nations
- United StatesMicronesiaBrazil
In The Last Decade
Wayne Law
9 papers receiving 246 citations
Peers
Comparison fields: 5 of 66
- Ecological Modeling 48
- Nature and Landscape Conservation 82
- Ecology, Evolution, Behavior and Systematics 85
- Pharmacology 25
- Plant Science 98
Countries citing papers authored by Wayne Law
This map shows the geographic impact of Wayne Law'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 Wayne Law with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wayne Law more than expected).
Fields of papers citing papers by Wayne Law
This network shows the impact of papers produced by Wayne Law. 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 Wayne Law. The network helps show where Wayne Law may publish in the future.
Co-authors
The 16 scholars most cited alongside Wayne Law, 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 | 2005 | 118 | |
| 2 | 2006 | 40 | |
| 3 | 2010 | 30 | |
| 4 | 2010 | 22 | |
| 5 | 2006 | 18 | |
| 6 | 2016 | 17 | |
| 7 | 2016 | 11 | |
| 8 | Harnessing Biomedical Natural Language Processing Tools to Identify Medicinal Plant Knowledge from Historical Texts. | 2017 | 3 |
| 9 | Identifying Plant-Human Disease Associations in Biomedical Literature: A Case Study. | 2016 | 1 |
| 10 | 2024 | 0 | |
| 11 | 2019 | 0 |
About Wayne Law
Wayne Law is a scholar working on Plant Science, Molecular Biology, Ecology, Evolution, Behavior and Systematics, Management, Monitoring, Policy and Law and Genetics, having authored 11 papers that have together received 260 indexed citations. Recurring topics across this work include Ethnobotanical and Medicinal Plants Studies (3 papers), Biomedical Text Mining and Ontologies (3 papers), Plant and animal studies (2 papers), Rangeland Management and Livestock Ecology (2 papers), Botany, Ecology, and Taxonomy Studies (2 papers), Advanced Text Analysis Techniques (1 paper), Ginger and Zingiberaceae research (1 paper) and Anthropological Studies and Insights (1 paper). The work is most often cited by research in Ecological Modeling (48 citations), Nature and Landscape Conservation (82 citations), Ecology, Evolution, Behavior and Systematics (85 citations), Pharmacology (25 citations) and Plant Science (98 citations). Wayne Law has collaborated with scholars based in United States, Micronesia and Brazil. Frequent co-authors include Jan Salick, Anja Byg, Tiffany M. Knight, Bee F. Gunn, Anthony S. Amend, Scott A. Mori, Nathan P. Smith, Michael J. Balick, Linda Saxe Einbond and Edward J. Kennelly. Their work appears in journals such as Biodiversity and Conservation, Phytomedicine, Economic Botany, Diversity and Plant Ecology.
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.