Roberto R. Gil

7.7k total citations · 1 hit paper
141 papers, 6.2k citations indexed

About

Roberto R. Gil is a scholar working on Molecular Biology, Spectroscopy and Organic Chemistry. According to data from OpenAlex, Roberto R. Gil has authored 141 papers receiving a total of 6.2k indexed citations (citations by other indexed papers that have themselves been cited), including 58 papers in Molecular Biology, 46 papers in Spectroscopy and 28 papers in Organic Chemistry. Recurrent topics in Roberto R. Gil's work include Molecular spectroscopy and chirality (41 papers), Analytical Chemistry and Chromatography (23 papers) and Natural product bioactivities and synthesis (20 papers). Roberto R. Gil is often cited by papers focused on Molecular spectroscopy and chirality (41 papers), Analytical Chemistry and Chromatography (23 papers) and Natural product bioactivities and synthesis (20 papers). Roberto R. Gil collaborates with scholars based in United States, Argentina and Spain. Roberto R. Gil's co-authors include Chakicherla Gayathri, Rongchao Jin, Armando Navarro‐Vázquez, Richard D. McCullough, Mihaela C. Iovu, Elena E. Sheina, Krzysztof Matyjaszewski, Huifeng Qian, A. Das and Zhikun Wu and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Environmental Science & Technology.

In The Last Decade

Roberto R. Gil

140 papers receiving 6.1k citations

Hit Papers

Experimental Evidence for the Quasi-“Living” Nature of th... 2005 2026 2012 2019 2005 100 200 300 400 500

Peers

Roberto R. Gil
Roberto R. Gil
Citations per year, relative to Roberto R. Gil Roberto R. Gil (= 1×) peers Jonathan M. White

Countries citing papers authored by Roberto R. Gil

Since Specialization
Citations

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

Fields of papers citing papers by Roberto R. Gil

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Roberto R. Gil. 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 Roberto R. Gil. The network helps show where Roberto R. Gil may publish in the future.

Co-authorship network of co-authors of Roberto R. Gil

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto R. Gil. A scholar is included among the top collaborators of Roberto R. Gil 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 Roberto R. Gil. Roberto R. Gil 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.
Anklin, Clemens & Roberto R. Gil. (2024). Full configurational and conformational analysis of artemisinin by one‐bond carbon–carbon residual dipolar couplings at natural abundance. Magnetic Resonance in Chemistry. 62(8). 599–604. 4 indexed citations
2.
Koos, Martin R. M., Armando Navarro‐Vázquez, Clemens Anklin, & Roberto R. Gil. (2020). Computer‐Assisted 3D Structure Elucidation (CASE‐3D): The Structural Value of 2JCH in Addition to 3JCH Coupling Constants. Angewandte Chemie. 132(10). 3966–3969. 1 indexed citations
3.
Koos, Martin R. M., Armando Navarro‐Vázquez, Clemens Anklin, & Roberto R. Gil. (2020). Computer‐Assisted 3D Structure Elucidation (CASE‐3D): The Structural Value of 2JCH in Addition to 3JCH Coupling Constants. Angewandte Chemie International Edition. 59(10). 3938–3941. 23 indexed citations
4.
Han, Wenbo, Guangyi Wang, Jiang‐Jiang Tang, et al.. (2019). Herpotrichones A and B, Two Intermolecular [4 + 2] Adducts with Anti-Neuroinflammatory Activity from a Herpotrichia Species. Organic Letters. 22(2). 405–409. 31 indexed citations
5.
Giordani, Raquel Brandt, et al.. (2019). Effect of the solvent on the conformation of monocrotaline as determined by isotropic and anisotropic NMR parameters. Magnetic Resonance in Chemistry. 59(5). 561–568. 11 indexed citations
6.
Farley, Kathleen A., Ye Che, Armando Navarro‐Vázquez, et al.. (2019). Cyclic Peptide Design Guided by Residual Dipolar Couplings, J-Couplings, and Intramolecular Hydrogen Bond Analysis. The Journal of Organic Chemistry. 84(8). 4803–4813. 22 indexed citations
7.
Hallwass, Fernando, et al.. (2018). Measurement of residual chemical shift anisotropies in compressed polymethylmethacrylate gels. Automatic compensation of gel isotropic shift contribution. Magnetic Resonance in Chemistry. 56(5). 321–328. 24 indexed citations
8.
Navarro‐Vázquez, Armando, Roberto R. Gil, & Kirill A. Blinov. (2018). Computer-Assisted 3D Structure Elucidation (CASE-3D) of Natural Products Combining Isotropic and Anisotropic NMR Parameters. Journal of Natural Products. 81(1). 203–210. 113 indexed citations
9.
Padrón, José M., et al.. (2018). Phytochemical Study of Senecio volckmannii Assisted by CASE-3D with Residual Dipolar Couplings and Isotropic 1H/13C NMR Chemical Shifts. Journal of Natural Products. 81(11). 2329–2337. 12 indexed citations
10.
Anklin, Clemens, et al.. (2017). Computer‐Assisted 3D Structure Elucidation of Natural Products using Residual Dipolar Couplings. Angewandte Chemie. 129(13). 3714–3718. 17 indexed citations
11.
Anklin, Clemens, et al.. (2017). Computer‐Assisted 3D Structure Elucidation of Natural Products using Residual Dipolar Couplings. Angewandte Chemie International Edition. 56(13). 3660–3664. 90 indexed citations
12.
Cornilescu, Gabriel, Thomas P. Wyche, Tim S. Bugni, et al.. (2017). Progressive Stereo Locking (PSL): A Residual Dipolar Coupling Based Force Field Method for Determining the Relative Configuration of Natural Products and Other Small Molecules. ACS Chemical Biology. 12(8). 2157–2163. 19 indexed citations
13.
Hallwass, Fernando, et al.. (2016). Mechanical Behavior of Polymer Gels for RDCs and RCSAs Collection: NMR Imaging Study of Buckling Phenomena. Chemistry - A European Journal. 22(46). 16632–16635. 17 indexed citations
14.
Berger, Robert, Jacques Courtieu, Roberto R. Gil, et al.. (2012). Is Enantiomer Assignment Possible by NMR Spectroscopy Using Residual Dipolar Couplings from Chiral Nonracemic Alignment Media?—A Critical Assessment. Angewandte Chemie International Edition. 51(33). 8388–8391. 52 indexed citations
15.
Misico, Rosana I., et al.. (2011). ChemInform Abstract: Withanolides and Related Steroids. ChemInform. 42(52). 11 indexed citations
16.
He, Wei, Srinivas Rapireddy, Marcela Madrid, et al.. (2010). The structure of a γ-modified peptide nucleic acid duplex. Molecular BioSystems. 6(9). 1619–1629. 21 indexed citations
17.
Pacciaroni, Adriana, et al.. (2008). Antifungal activity of Heterothalamus alienus metabolites. Phytotherapy Research. 22(4). 524–528. 21 indexed citations
18.
Daly, John W., Jason M. Wilham, Thomas F. Spande, et al.. (2007). Alkaloids in Bufonid Toads (Melanophryniscus): Temporal and Geographic Determinants for Two Argentinian Species. Journal of Chemical Ecology. 33(4). 871–887. 48 indexed citations
19.
Ray, Sutapa, Hemanta K. Majumder, Ajit K. Chakravarty, et al.. (1996). Amarogentin, a Naturally Occurring Secoiridoid Glycoside and a Newly Recognized Inhibitor of Topoisomerase I from Leishmania donovani. Journal of Natural Products. 59(1). 27–29. 72 indexed citations
20.
Öksüz, Sevïl, et al.. (1995). Four diterpene esters from Euphorbia myrsinites. Phytochemistry. 38(6). 1457–1462. 37 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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