John D. Weete
Impact in
- Biochemistry top 2%
- Pharmacology top 2%
- Fungal Biology and Applications
Papers in
- Biochemistry 17
- Lipid metabolism and biosynthesis 17
- Pharmacology 21
- Fungal Biology and Applications 14
- Co-authors
- S. R. Gandhi (9 shared papers)John L. Laseter (15 shared papers)H. Gary Hancock (6 shared papers)Franck Emmanuel Dayan (6 shared papers)Maritza Abril (1 shared paper)Meredith Blackwell (1 shared paper)Michel Sancholle (7 shared papers)Stephen Oscar Duke (2 shared papers)
- Journals
- Phytochemistry (9 papers)Mycologia (8 papers)Journal of the American Oil Chemists Society (7 papers)Canadian Journal of Microbiology (6 papers)Weed Science (4 papers)
- Partner nations
- United StatesFranceTanzania
In The Last Decade
John D. Weete
107 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 118
- Biochemistry 238
- Pharmacology 464
- Plant Science 1.1k
- Pollution 278
- Aquatic Science 164
Countries citing papers authored by John D. Weete
This map shows the geographic impact of John D. Weete'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 John D. Weete with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John D. Weete more than expected).
Fields of papers citing papers by John D. Weete
This network shows the impact of papers produced by John D. Weete. 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 John D. Weete. The network helps show where John D. Weete may publish in the future.
Co-authors
The 25 scholars most cited alongside John D. Weete, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 109 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1980 | 286 | |
| 2 | 2010 | 252 | |
| 3 | 1974 | 165 | |
| 4 | 1973 | 140 | |
| 5 | 1989 | 136 | |
| 6 | 1984 | 95 | |
| 7 | 1997 | 93 | |
| 8 | 1997 | 79 | |
| 9 | 1991 | 72 | |
| 10 | 1995 | 71 | |
| 11 | 1997 | 70 | |
| 12 | 1983 | 67 | |
| 13 | 1996 | 61 | |
| 14 | Fungal Lipid Biochemistry: Distribution and Metabolism | 1974 | 55 |
| 15 | 1997 | 52 | |
| 16 | 1996 | 50 | |
| 17 | 1989 | 50 | |
| 18 | 1996 | 44 | |
| 19 | 1972 | 39 | |
| 20 | 2002 | 39 |
About John D. Weete
John D. Weete is a scholar working on Biochemistry, Pharmacology, Molecular Biology, Nutrition and Dietetics and Plant Science, having authored 109 papers that have together received 3.1k indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (17 papers), Fungal Biology and Applications (14 papers), Microbial Metabolic Engineering and Bioproduction (14 papers), Plant biochemistry and biosynthesis (13 papers), Algal biology and biofuel production (10 papers), Enzyme Catalysis and Immobilization (10 papers), Pesticide and Herbicide Environmental Studies (10 papers) and Fermentation and Sensory Analysis (8 papers). The work is most often cited by research in Biochemistry (238 citations), Pharmacology (464 citations), Plant Science (1.1k citations), Pollution (278 citations) and Aquatic Science (164 citations). John D. Weete has collaborated with scholars based in United States, France and Tanzania. Frequent co-authors include S. R. Gandhi, John L. Laseter, H. Gary Hancock, Franck Emmanuel Dayan, Maritza Abril, Meredith Blackwell, Michel Sancholle, Stephen Oscar Duke, Margaret C. Craig‐Schmidt and Roland R. Dute. Their work appears in journals such as Phytochemistry, Mycologia, Journal of the American Oil Chemists Society, Canadian Journal of Microbiology and Weed Science.
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.