John D. Weete
Impact in
- Biochemistry top 2%
- Plant Science top 2%
- Weed Control and Herbicide Applications
Papers in
-
- Microbial Metabolic Engineering and Bioproduction 11
- Plant biochemistry and biosynthesis 9
- Enzyme Catalysis and Immobilization 8
- Co-authors
- S. R. Gandhi (7 shared papers)H. Gary Hancock (6 shared papers)Franck E. Dayan (6 shared papers)John L. Laseter (15 shared papers)Meredith Blackwell (1 shared paper)Maritza Abril (1 shared paper)Stephen O. Duke (2 shared papers)Michel Sancholle (6 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 StatesFranceChina
In The Last Decade
John D. Weete
84 papers receiving 2.3k citations
Peers
Comparison fields: 5 of 111
- Biochemistry 193
- Plant Science 863
- Pollution 250
- Pharmacology 316
- Aquatic Science 143
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 86 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1980 | 266 | |
| 2 | 2010 | 227 | |
| 3 | 1974 | 144 | |
| 4 | 1973 | 125 | |
| 5 | 1997 | 88 | |
| 6 | 1984 | 79 | |
| 7 | 1997 | 72 | |
| 8 | 1997 | 65 | |
| 9 | 1991 | 63 | |
| 10 | 1995 | 63 | |
| 11 | 1996 | 58 | |
| 12 | 1983 | 56 | |
| 13 | Fungal Lipid Biochemistry: Distribution and Metabolism | 1974 | 53 |
| 14 | 1997 | 47 | |
| 15 | 1996 | 45 | |
| 16 | 2000 | 36 | |
| 17 | 2002 | 35 | |
| 18 | 2000 | 35 | |
| 19 | 1989 | 35 | |
| 20 | 1987 | 34 |
About John D. Weete
John D. Weete is a scholar working on Molecular Biology, Plant Science, Pharmacology, Nutrition and Dietetics and Biochemistry, having authored 86 papers that have together received 2.5k indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (12 papers), Fungal Biology and Applications (11 papers), Microbial Metabolic Engineering and Bioproduction (11 papers), Pesticide and Herbicide Environmental Studies (10 papers), Plant biochemistry and biosynthesis (9 papers), Enzyme Catalysis and Immobilization (8 papers), Algal biology and biofuel production (8 papers) and Fermentation and Sensory Analysis (7 papers). The work is most often cited by research in Biochemistry (193 citations), Plant Science (863 citations), Pollution (250 citations), Pharmacology (316 citations) and Aquatic Science (143 citations). John D. Weete has collaborated with scholars based in United States, France and China. Frequent co-authors include S. R. Gandhi, H. Gary Hancock, Franck E. Dayan, John L. Laseter, Meredith Blackwell, Maritza Abril, Stephen O. Duke, Michel Sancholle, 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.