Daniel Gachotte
Impact in
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
- Plant Science top 10%
- Plant Molecular Biology Research
- Plant Stress Responses and Tolerance
Papers in
-
- Plant biochemistry and biosynthesis 6
- Fungal and yeast genetics research 3
- Steroid Chemistry and Biochemistry 3
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- Lipid metabolism and biosynthesis 6
- Co-authors
- Martin Bard (5 shared papers)Robert J. Barbuch (4 shared papers)Pierre Benveniste (4 shared papers)James A. Eckstein (2 shared papers)Erik Nickel (1 shared paper)J.L. Gaylor (1 shared paper)Chris Roberts (1 shared paper)Monty Krieger (1 shared paper)
- Journals
- Proceedings of the National Academy of Sciences (3 papers)The Plant Journal (2 papers)Plant Biotechnology Journal (1 paper)FEBS Letters (1 paper)PLANT PHYSIOLOGY (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Daniel Gachotte
14 papers receiving 715 citations
Peers
Comparison fields: 5 of 65
- Biochemistry 124
- Plant Science 289
- Molecular Biology 503
- Pharmacology 73
- Biotechnology 26
Countries citing papers authored by Daniel Gachotte
This map shows the geographic impact of Daniel Gachotte'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 Daniel Gachotte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Gachotte more than expected).
Fields of papers citing papers by Daniel Gachotte
This network shows the impact of papers produced by Daniel Gachotte. 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 Daniel Gachotte. The network helps show where Daniel Gachotte may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Gachotte, 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 | 2010 | 124 | |
| 2 | 2016 | 86 | |
| 3 | 1999 | 83 | |
| 4 | 1998 | 81 | |
| 5 | 2001 | 69 | |
| 6 | 1995 | 53 | |
| 7 | 1996 | 52 | |
| 8 | 2012 | 51 | |
| 9 | 1997 | 43 | |
| 10 | 1996 | 42 | |
| 11 | 1999 | 36 | |
| 12 | 2018 | 7 | |
| 13 | 2021 | 5 | |
| 14 | 2012 | 5 |
About Daniel Gachotte
Daniel Gachotte is a scholar working on Molecular Biology, Biochemistry, Plant Science, Pharmacology and Surgery, having authored 14 papers that have together received 737 indexed citations. Recurring topics across this work include Plant biochemistry and biosynthesis (6 papers), Lipid metabolism and biosynthesis (6 papers), Fungal and yeast genetics research (3 papers), Steroid Chemistry and Biochemistry (3 papers), Plant Molecular Biology Research (3 papers), Fungal Biology and Applications (2 papers), Cholesterol and Lipid Metabolism (2 papers) and Transgenic Plants and Applications (2 papers). The work is most often cited by research in Biochemistry (124 citations), Plant Science (289 citations), Molecular Biology (503 citations), Pharmacology (73 citations) and Biotechnology (26 citations). Daniel Gachotte has collaborated with scholars based in United States and France. Frequent co-authors include Martin Bard, Robert J. Barbuch, Pierre Benveniste, James A. Eckstein, Erik Nickel, J.L. Gaylor, Chris Roberts, Monty Krieger, Timothy R. Hughes and François Lacroute. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Plant Journal, Plant Biotechnology Journal, FEBS Letters 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.