Dionicio Siegel

5.3k total citations
73 papers, 3.2k citations indexed

About

Dionicio Siegel is a scholar working on Molecular Biology, Organic Chemistry and Pharmacology. According to data from OpenAlex, Dionicio Siegel has authored 73 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 35 papers in Organic Chemistry and 11 papers in Pharmacology. Recurrent topics in Dionicio Siegel's work include Oxidative Organic Chemistry Reactions (12 papers), Synthetic Organic Chemistry Methods (11 papers) and Fatty Acid Research and Health (6 papers). Dionicio Siegel is often cited by papers focused on Oxidative Organic Chemistry Reactions (12 papers), Synthetic Organic Chemistry Methods (11 papers) and Fatty Acid Research and Health (6 papers). Dionicio Siegel collaborates with scholars based in United States, Switzerland and Sweden. Dionicio Siegel's co-authors include Andrew G. Myers, Mark G. Charest, Samuel J. Danishefsky, Changxia Yuan, Alan Saghatelian, Abram Axelrod, Phil B. Alper, Erick M. Carreira, Andreas Lerchner and Jason D. Brubaker and has published in prestigious journals such as Nature, Science and Chemical Reviews.

In The Last Decade

Dionicio Siegel

70 papers receiving 3.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dionicio Siegel United States 33 1.5k 1.2k 508 273 265 73 3.2k
Sheng‐Chu Kuo Taiwan 39 1.4k 0.9× 2.0k 1.6× 579 1.1× 343 1.3× 114 0.4× 179 4.6k
Amar G. Chittiboyina United States 28 532 0.3× 1.4k 1.1× 635 1.3× 323 1.2× 229 0.9× 205 3.7k
Isao Adachi Japan 37 1.9k 1.2× 2.0k 1.7× 297 0.6× 443 1.6× 117 0.4× 164 4.0k
Byoung‐Mog Kwon South Korea 38 691 0.5× 2.4k 1.9× 473 0.9× 163 0.6× 114 0.4× 173 4.4k
Andreas Koeberle Germany 41 832 0.5× 1.8k 1.5× 1.6k 3.1× 359 1.3× 503 1.9× 134 4.5k
Supaluk Prachayasittikul Thailand 33 1.8k 1.2× 1.2k 1.0× 309 0.6× 142 0.5× 87 0.3× 123 3.9k
Feng Feng China 36 697 0.5× 2.1k 1.7× 1.3k 2.5× 293 1.1× 273 1.0× 221 4.8k
Trond Vidar Hansen Norway 32 1.6k 1.1× 1.1k 0.9× 329 0.6× 136 0.5× 733 2.8× 133 3.4k
Carlo Pergola Germany 30 678 0.4× 709 0.6× 718 1.4× 305 1.1× 255 1.0× 61 2.3k
José M. Padrón Spain 31 2.2k 1.5× 1.5k 1.2× 458 0.9× 84 0.3× 104 0.4× 240 3.9k

Countries citing papers authored by Dionicio Siegel

Since Specialization
Citations

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

Fields of papers citing papers by Dionicio Siegel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dionicio Siegel. 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 Dionicio Siegel. The network helps show where Dionicio Siegel may publish in the future.

Co-authorship network of co-authors of Dionicio Siegel

This figure shows the co-authorship network connecting the top 25 collaborators of Dionicio Siegel. A scholar is included among the top collaborators of Dionicio Siegel 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 Dionicio Siegel. Dionicio Siegel 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.
Wellenstein, Kerry, Ali Rahnavard, Andrew T. Nelson, et al.. (2024). Beneficial metabolic effects of PAHSAs depend on the gut microbiota in diet-induced obese mice but not in chow-fed mice. Proceedings of the National Academy of Sciences. 121(28). e2318691121–e2318691121. 2 indexed citations
2.
Patel, Rucha, Anna Santoro, Peter Hofer, et al.. (2022). ATGL is a biosynthetic enzyme for fatty acid esters of hydroxy fatty acids. Nature. 606(7916). 968–975. 88 indexed citations
3.
4.
Aryal, Pratik, Ismail Syed, Rucha Patel, et al.. (2021). Distinct biological activities of isomers from several families of branched fatty acid esters of hydroxy fatty acids (FAHFAs). Journal of Lipid Research. 62. 100108–100108. 51 indexed citations
5.
Zhang, Jing, Xinxin Huang, Bin Guo, et al.. (2020). Effects of Eupalinilide E and UM171, alone and in combination on cytokine stimulated ex-vivo expansion of human cord blood hematopoietic stem cells. Blood Cells Molecules and Diseases. 84. 102457–102457. 9 indexed citations
6.
Zhou, Peng, Anna Santoro, Odile D. Peroni, et al.. (2019). PAHSAs enhance hepatic and systemic insulin sensitivity through direct and indirect mechanisms. Journal of Clinical Investigation. 129(10). 4138–4150. 75 indexed citations
7.
Syed, Ismail, James F. Mohan, Pedro M. Moraes‐Vieira, et al.. (2019). PAHSAs attenuate immune responses and promote β cell survival in autoimmune diabetic mice. Journal of Clinical Investigation. 129(9). 3717–3731. 61 indexed citations
8.
Tan, Dan, Meric Erikci Ertunc, Srihari Konduri, et al.. (2019). Discovery of FAHFA-Containing Triacylglycerols and Their Metabolic Regulation. Journal of the American Chemical Society. 141(22). 8798–8806. 63 indexed citations
9.
Kolar, Matthew J., Srihari Konduri, Tina Chang, et al.. (2019). Linoleic acid esters of hydroxy linoleic acids are anti-inflammatory lipids found in plants and mammals. Journal of Biological Chemistry. 294(27). 10698–10707. 102 indexed citations
10.
Wang, Huijing, Matthew J. Kolar, Tina Chang, et al.. (2019). Stereochemistry of Linoleic Acid Esters of Hydroxy Linoleic Acids. Organic Letters. 21(19). 8080–8084. 11 indexed citations
11.
Zaramela, Lívia S., Cameron Martino, Frederico Alisson‐Silva, et al.. (2019). Gut bacteria responding to dietary change encode sialidases that exhibit preference for red meat-associated carbohydrates. Nature Microbiology. 4(12). 2082–2089. 65 indexed citations
12.
Kolar, Matthew J., Andrew T. Nelson, Tina Chang, et al.. (2018). Faster Protocol for Endogenous Fatty Acid Esters of Hydroxy Fatty Acid (FAHFA) Measurements. Analytical Chemistry. 90(8). 5358–5365. 45 indexed citations
13.
Syed, Ismail, Jennifer Lee, Pedro M. Moraes‐Vieira, et al.. (2018). Palmitic Acid Hydroxystearic Acids Activate GPR40, Which Is Involved in Their Beneficial Effects on Glucose Homeostasis. Cell Metabolism. 27(2). 419–427.e4. 150 indexed citations
14.
Debnath, Anjan, Andrew T. Nelson, Angélica Silva-Olivares, et al.. (2018). In Vitro Efficacy of Ebselen and BAY 11-7082 Against Naegleria fowleri. Frontiers in Microbiology. 9. 414–414. 33 indexed citations
15.
Rho, Okkyung, et al.. (2015). Effect of Combined Treatment with Ursolic Acid and Resveratrol on Skin Tumor Promotion by 12- O -Tetradecanoylphorbol-13-Acetate. Cancer Prevention Research. 8(9). 817–825. 38 indexed citations
16.
Siegel, Dionicio, et al.. (2013). Small‐Molecule Mechanism of Action Studies in Caenorhabditis elegans. ChemBioChem. 14(17). 2338–2344. 3 indexed citations
17.
Siegel, Dionicio, et al.. (2013). Small‐Molecule‐Mediated Axonal Branching in Caenorhabditis elegans. ChemBioChem. 14(3). 307–310. 9 indexed citations
18.
19.
Cheng, Xu, Zin Z. Khaing, Andrew M. Camelio, et al.. (2011). Neuronal growth promoting sesquiterpene–neolignans; syntheses and biological studies. Organic & Biomolecular Chemistry. 10(2). 383–393. 40 indexed citations
20.
Tsukano, Chihiro, Dionicio Siegel, & Samuel J. Danishefsky. (2007). Differentiation of Nonconventional “Carbanions”—The Total Synthesis of Nemorosone and Clusianone. Angewandte Chemie International Edition. 46(46). 8840–8844. 91 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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