M. Coburn Williams
- Plant Science top 10%
- Molecular Biology
- Ecology, Evolution, Behavior and Systematics top 5%
- Pulmonary and Respiratory Medicine
- Complementary and alternative medicine top 5%
- Co-authors
- Lynn F. JamesRobert J. MasonRupert C. BarnebyJudith A. ClementsRobert D. GreenleafRussell J. MolyneuxFrank R. StermitzFrank A. Norris
- Topics
- Traditional Chinese Medicine Analysis (14 papers)Botany, Ecology, and Taxonomy Studies (12 papers)Plant Ecology and Taxonomy Studies (9 papers)
- Cited by
- Ecology, Evolution, Behavior and SystematicsComplementary and alternative medicinePlant Science
- Partner nations
- United StatesSouth Africa
In The Last Decade
M. Coburn Williams
54 papers receiving 757 citations
Peers
Comparison fields: 5 of 99
- Plant Science 345
- Molecular Biology 287
- Ecology, Evolution, Behavior and Systematics 265
- Pulmonary and Respiratory Medicine 114
- Complementary and alternative medicine 98
Countries citing papers authored by M. Coburn Williams
This map shows the geographic impact of M. Coburn Williams'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 M. Coburn Williams with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Coburn Williams more than expected).
Fields of papers citing papers by M. Coburn Williams
This network shows the impact of papers produced by M. Coburn Williams. 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 M. Coburn Williams. The network helps show where M. Coburn Williams may publish in the future.
Co-authorship network of co-authors of M. Coburn Williams
This figure shows the co-authorship network connecting the top 25 collaborators of M. Coburn Williams. A scholar is included among the top collaborators of M. Coburn Williams 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 M. Coburn Williams. M. Coburn Williams 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 | 47 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 52 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 16 | |
| 10 | 41 | |
| 11 | 8 | |
| 12 | 22 | |
| 13 | 3 | |
| 14 | 17 | |
| 15 | 12 | |
| 16 | 9 | |
| 17 | 13 | |
| 18 | 17 | |
| 19 | 68 | |
| 20 | 17 |
About M. Coburn Williams
M. Coburn Williams is a scholar working on Complementary and alternative medicine, Ecology, Evolution, Behavior and Systematics and Pharmacology, having authored 58 papers that have together received 913 indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (14 papers), Botany, Ecology, and Taxonomy Studies (12 papers) and Plant Ecology and Taxonomy Studies (9 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (265 citations), Complementary and alternative medicine (98 citations) and Plant Science (345 citations). M. Coburn Williams has collaborated with scholars based in United States and South Africa. Frequent co-authors include Lynn F. James, Robert J. Mason, Rupert C. Barneby, Judith A. Clements, Robert D. Greenleaf, Russell J. Molyneux, Frank R. Stermitz, Frank A. Norris, H. F. Mayland and W. J. Hartley. Their work appears in journals such as Journal of the American Chemical Society, PLANT PHYSIOLOGY and American Journal of Epidemiology.
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.