Daniel Gachotte

3.5k total citations
14 papers, 729 citations indexed

About

Daniel Gachotte is a scholar working on Molecular Biology, Biochemistry and Plant Science. According to data from OpenAlex, Daniel Gachotte has authored 14 papers receiving a total of 729 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Biochemistry and 4 papers in Plant Science. Recurrent topics in Daniel Gachotte's work include Lipid metabolism and biosynthesis (6 papers), Plant biochemistry and biosynthesis (6 papers) and Plant Molecular Biology Research (3 papers). Daniel Gachotte is often cited by papers focused on Lipid metabolism and biosynthesis (6 papers), Plant biochemistry and biosynthesis (6 papers) and Plant Molecular Biology Research (3 papers). Daniel Gachotte collaborates with scholars based in United States and France. Daniel Gachotte's co-authors include Martin Bard, Robert J. Barbuch, Pierre Benveniste, James A. Eckstein, Erik Nickel, J.L. Gaylor, Monty Krieger, Timothy R. Hughes, Chris Roberts and François Lacroute and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Biotechnology and PLoS ONE.

In The Last Decade

Daniel Gachotte

14 papers receiving 707 citations

Peers

Daniel Gachotte
Edward I. Campbell United Kingdom
Haoxia Li China
Byron L. Bertagnolli United States
K.V. Venkatachalam United States
R. W. Barratt United States
Daniel Gachotte
Citations per year, relative to Daniel Gachotte Daniel Gachotte (= 1×) peers Frank P. Wolter

Countries citing papers authored by Daniel Gachotte

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniel Gachotte

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Gachotte. A scholar is included among the top collaborators of Daniel Gachotte 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 Daniel Gachotte. Daniel Gachotte is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Gachotte, Daniel, Paul R. Graupner, David McCaskill, et al.. (2021). Plant and algal lysophosphatidic acid acyltransferases increase docosahexaenoic acid accumulation at the sn-2 position of triacylglycerol in transgenic Arabidopsis seed oil. PLoS ONE. 16(8). e0256625–e0256625. 5 indexed citations
2.
Gachotte, Daniel, et al.. (2018). Transgenic and Genome Editing Approaches for Modifying Plant Oils. Methods in molecular biology. 1864. 367–394. 7 indexed citations
3.
Walsh, Terence A., Daniel Gachotte, William A. Moskal, et al.. (2016). Canola engineered with a microalgal polyketide synthase-like system produces oil enriched in docosahexaenoic acid. Nature Biotechnology. 34(8). 881–887. 83 indexed citations
4.
Gupta, Manju, Russell C. DeKelver, Sunita M. Gopalan, et al.. (2012). Transcriptional activation of Brassica napus β‐ketoacyl‐ACP synthase II with an engineered zinc finger protein transcription factor. Plant Biotechnology Journal. 10(7). 783–791. 51 indexed citations
5.
Madduri, Krishna, Barry W. Schafer, Gaofeng Lin, et al.. (2012). Preliminary safety assessment of a membrane-bound delta 9 desaturase candidate protein for transgenic oilseed crops. Food and Chemical Toxicology. 50(10). 3776–3784. 5 indexed citations
6.
Zheng, Zhifu, Xiao-Ping Xu, Yuejin Sun, et al.. (2010). The Protein Kinase SnRK2.6 Mediates the Regulation of Sucrose Metabolism and Plant Growth in Arabidopsis . PLANT PHYSIOLOGY. 153(1). 99–113. 121 indexed citations
7.
Gachotte, Daniel, et al.. (2001). A novel gene conserved from yeast to humans is involved in sterol biosynthesis. Journal of Lipid Research. 42(1). 150–154. 68 indexed citations
8.
Schaller, Hubert, et al.. (1999). Δ7-Sterol-C5-desaturase: molecular characterization and functional expression of wild-type and mutant alleles. Plant Molecular Biology. 39(5). 891–906. 36 indexed citations
9.
Gachotte, Daniel, et al.. (1999). Characterization of the Saccharomyces cerevisiae ERG27 gene encoding the 3-keto reductase involved in C-4 sterol demethylation. Proceedings of the National Academy of Sciences. 96(22). 12655–12660. 83 indexed citations
10.
Gachotte, Daniel, Robert J. Barbuch, J.L. Gaylor, Erik Nickel, & Martin Bard. (1998). Characterization of the Saccharomyces cerevisiae ERG26 gene encoding the C-3 sterol dehydrogenase (C-4 decarboxylase) involved in sterol biosynthesis. Proceedings of the National Academy of Sciences. 95(23). 13794–13799. 81 indexed citations
11.
Gachotte, Daniel, et al.. (1997). A yeast sterol auxotroph ( erg 25) is rescued by addition of azole antifungals and reduced levels of heme. Proceedings of the National Academy of Sciences. 94(21). 11173–11178. 43 indexed citations

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.

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