Tom Clemente
- Biochemistry top 1%
- Lipid metabolism and biosynthesis 13
- Plant Science top 1%
- Soybean genetics and cultivation 11
- Plant Molecular Biology Research 8
- Legume Nitrogen Fixing Symbiosis 7
- Biotechnology top 2%
- Transgenic Plants and Applications 10
- Molecular Biology top 5%
- Plant tissue culture and regeneration 14
- Photosynthetic Processes and Mechanisms 11
- CRISPR and Genetic Engineering 9
- Biochemistry top 10%
- Lipid metabolism and biosynthesis 13
- Co-authors
- Edgar B. CahoonAnthony J. KinneyShirley SatoIsmail DweikatTilman OltersdorfR. FrenchMartin B. DickmanBruce Schweiger
- Partner nations
- United StatesUnited KingdomChina
In The Last Decade
Tom Clemente
60 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 105
- Biochemistry 433
- Plant Science 1.7k
- Biotechnology 252
- Molecular Biology 1.3k
- Biochemistry 77
Countries citing papers authored by Tom Clemente
This map shows the geographic impact of Tom Clemente'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 Tom Clemente with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tom Clemente more than expected).
Fields of papers citing papers by Tom Clemente
This network shows the impact of papers produced by Tom Clemente. 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 Tom Clemente. The network helps show where Tom Clemente may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tom Clemente, 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 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 10 | |
| 6 | 2024 | 20 | |
| 7 | 2024 | 15 | |
| 8 | 2024 | 7 | |
| 9 | 2023 | 7 | |
| 10 | 2022 | 23 | |
| 11 | 2020 | 9 | |
| 12 | 2019 | 18 | |
| 13 | 2018 | 19 | |
| 14 | 2016 | 82 | |
| 15 | 2014 | 11 | |
| 16 | 2012 | 49 | |
| 17 | 2009 | 27 | |
| 18 | 2009 | 107 | |
| 19 | 2006 | 93 | |
| 20 | 2000 | 27 |
About Tom Clemente
Tom Clemente is a scholar working on Biochemistry, Biotechnology, Plant Science, Molecular Biology and Endocrinology, having authored 62 papers that have together received 2.6k indexed citations. Recurring topics across this work include Plant tissue culture and regeneration (14 papers), Lipid metabolism and biosynthesis (13 papers), Soybean genetics and cultivation (11 papers), Photosynthetic Processes and Mechanisms (11 papers), Transgenic Plants and Applications (10 papers), CRISPR and Genetic Engineering (9 papers), Plant Molecular Biology Research (8 papers) and Legume Nitrogen Fixing Symbiosis (7 papers). The work is most often cited by research in Biochemistry (433 citations), Plant Science (1.7k citations), Biotechnology (252 citations), Molecular Biology (1.3k citations) and Biochemistry (77 citations). Tom Clemente has collaborated with scholars based in United States, United Kingdom and China. Frequent co-authors include Edgar B. Cahoon, Anthony J. Kinney, Shirley Sato, Ismail Dweikat, Tilman Oltersdorf, R. French, Martin B. Dickman, Bruce Schweiger, George L. Graef and Hélène Eckert. Their work appears in journals such as Plant Biotechnology Journal, Planta, Crop Science, Journal of Experimental Botany and PLANT PHYSIOLOGY.
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.