Daniel L. Siehl

2.1k total citations
34 papers, 1.6k citations indexed

About

Daniel L. Siehl is a scholar working on Molecular Biology, Plant Science and Pollution. According to data from OpenAlex, Daniel L. Siehl has authored 34 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 13 papers in Plant Science and 5 papers in Pollution. Recurrent topics in Daniel L. Siehl's work include Plant tissue culture and regeneration (12 papers), Weed Control and Herbicide Applications (7 papers) and Biochemical and Molecular Research (5 papers). Daniel L. Siehl is often cited by papers focused on Plant tissue culture and regeneration (12 papers), Weed Control and Herbicide Applications (7 papers) and Biochemical and Molecular Research (5 papers). Daniel L. Siehl collaborates with scholars based in United States, Japan and Switzerland. Daniel L. Siehl's co-authors include Howard E. Morgan, Balvin H.L. Chua, Loredano Pollegioni, E. Schönbrunn, Linda A. Castle, Mani Subramanian, Paul Bernasconi, Rebecca Gorton, Barbara Rosen and Eric E. Conn and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Daniel L. Siehl

34 papers receiving 1.5k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel L. Siehl United States 20 933 715 286 178 144 34 1.6k
Kaisa M. Koistinen Finland 19 780 0.8× 491 0.7× 53 0.2× 56 0.3× 79 0.5× 25 1.3k
Lei Han China 23 670 0.7× 354 0.5× 109 0.4× 38 0.2× 30 0.2× 93 1.5k
Wenxian Liu China 22 424 0.5× 800 1.1× 67 0.2× 72 0.4× 20 0.1× 65 1.2k
Panagiota Mylona Greece 10 1.1k 1.2× 1.7k 2.4× 33 0.1× 60 0.3× 53 0.4× 13 2.3k
Dewi R. Davies United Kingdom 19 1.2k 1.3× 1.9k 2.6× 34 0.1× 278 1.6× 102 0.7× 24 2.6k
Isabelle Baudrimont France 21 435 0.5× 940 1.3× 45 0.2× 118 0.7× 108 0.8× 47 1.6k
Lingling Zhao China 19 766 0.8× 462 0.6× 40 0.1× 79 0.4× 33 0.2× 82 1.3k
Satoko Nonaka Japan 20 812 0.9× 892 1.2× 56 0.2× 21 0.1× 54 0.4× 38 1.3k
Nobuhiko ARAKAWA Japan 21 456 0.5× 267 0.4× 18 0.1× 219 1.2× 131 0.9× 94 1.3k
Sumita Sharma India 12 332 0.4× 582 0.8× 87 0.3× 22 0.1× 34 0.2× 48 984

Countries citing papers authored by Daniel L. Siehl

Since Specialization
Citations

This map shows the geographic impact of Daniel L. Siehl'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 L. Siehl with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel L. Siehl more than expected).

Fields of papers citing papers by Daniel L. Siehl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel L. Siehl. 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 L. Siehl. The network helps show where Daniel L. Siehl may publish in the future.

Co-authorship network of co-authors of Daniel L. Siehl

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

All Works

20 of 20 papers shown
1.
Green, Jerry M. & Daniel L. Siehl. (2021). History and Outlook for Glyphosate-Resistant Crops. Reviews of Environmental Contamination and Toxicology. 255. 67–91. 16 indexed citations
2.
Lü, Jian, et al.. (2018). Desensitizing plant EPSP synthase to glyphosate: Optimized global sequence context accommodates a glycine-to-alanine change in the active site. Journal of Biological Chemistry. 294(2). 716–725. 24 indexed citations
3.
Chiu, Li-Wei, et al.. (2018). Members of the GH3 Family of Proteins Conjugate 2,4-D and Dicamba with Aspartate and Glutamate. Plant and Cell Physiology. 59(11). 2366–2380. 21 indexed citations
4.
Lü, Jian, et al.. (2017). Novel form of the Michaelis–Menten equation that enables accurate estimation of (kcat/KM)*KI with just two rate measurements; utility in directed evolution. Protein Engineering Design and Selection. 30(5). 395–399. 7 indexed citations
5.
Schenck, Craig A., Siyu Chen, Daniel L. Siehl, & Hiroshi Maéda. (2014). Non-plastidic, tyrosine-insensitive prephenate dehydrogenases from legumes. Nature Chemical Biology. 11(1). 52–57. 57 indexed citations
6.
Pollegioni, Loredano, E. Schönbrunn, & Daniel L. Siehl. (2011). Molecular basis of glyphosate resistance – different approaches through protein engineering. FEBS Journal. 278(16). 2753–2766. 149 indexed citations
7.
Siehl, Daniel L., Linda A. Castle, Rebecca Gorton, & Robert J. Keenan. (2007). The Molecular Basis of Glyphosate Resistance by an Optimized Microbial Acetyltransferase. Journal of Biological Chemistry. 282(15). 11446–11455. 54 indexed citations
8.
Keenan, Robert J., Daniel L. Siehl, Rebecca Gorton, & Linda A. Castle. (2005). DNA shuffling as a tool for protein crystallization. Proceedings of the National Academy of Sciences. 102(25). 8887–8892. 22 indexed citations
9.
Siehl, Daniel L., et al.. (2005). Evolution of a microbial acetyltransferase for modification of glyphosate: a novel tolerance strategy. Pest Management Science. 61(3). 235–240. 41 indexed citations
10.
Castle, Linda A., Daniel L. Siehl, Rebecca Gorton, et al.. (2004). Discovery and Directed Evolution of a Glyphosate Tolerance Gene. Science. 304(5674). 1151–1154. 246 indexed citations
11.
Siehl, Daniel L., et al.. (1997). Evaluating anthranilate synthase as a herbicide target. Weed Science. 45(5). 628–633. 7 indexed citations
12.
Poland, Bradley W., Mani Subramanian, Daniel L. Siehl, et al.. (1996). Refined Crystal Structure of Adenylosuccinate Synthetase from Escherichia coli Complexed with Hydantocidin 5‘-Phosphate, GDP, HPO42-, Mg2+, and Hadacidin,. Biochemistry. 35(49). 15753–15759. 34 indexed citations
14.
Siehl, Daniel L., et al.. (1996). Adenylosuccinate Synthetase: Site of Action of Hydantocidin, a Microbial Phytotoxin. PLANT PHYSIOLOGY. 110(3). 753–758. 59 indexed citations
15.
Bernasconi, Paul, et al.. (1995). A Naturally Occurring Point Mutation Confers Broad Range Tolerance to Herbicides That Target Acetolactate Synthase. Journal of Biological Chemistry. 270(29). 17381–17385. 206 indexed citations
16.
Bernasconi, Paul, et al.. (1994). Functional Expression of Arabidopsis thaliana Anthranilate Synthase Subunit I in Escherichia coli. PLANT PHYSIOLOGY. 106(1). 353–358. 19 indexed citations
17.
Siehl, Daniel L. & Eric E. Conn. (1988). Kinetic and regulatory properties of arogenate dehydratase in seedlings of Sorghum bicolor (L.) moench. Archives of Biochemistry and Biophysics. 260(2). 822–829. 42 indexed citations
18.
Siehl, Daniel L., Bijay Singh, & Eric E. Conn. (1986). Tissue Distribution and Subcellular Localization of Prephenate Aminotransferase in Leaves of Sorghum bicolor. PLANT PHYSIOLOGY. 81(2). 711–713. 15 indexed citations
19.
Siehl, Daniel L., et al.. (1985). Faster protein and ribosome synthesis in thyroxine-induced hypertrophy of rat heart. American Journal of Physiology-Cell Physiology. 248(3). C309–C319. 78 indexed citations
20.
Siehl, Daniel L., et al.. (1979). Effect of leucine and metabolites of branched chain amino acids on protein turnover in heart.. Journal of Biological Chemistry. 254(17). 8358–8362. 167 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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