David G. Gorenstein

10.6k total citations
257 papers, 8.5k citations indexed

About

David G. Gorenstein is a scholar working on Molecular Biology, Spectroscopy and Organic Chemistry. According to data from OpenAlex, David G. Gorenstein has authored 257 papers receiving a total of 8.5k indexed citations (citations by other indexed papers that have themselves been cited), including 151 papers in Molecular Biology, 59 papers in Spectroscopy and 57 papers in Organic Chemistry. Recurrent topics in David G. Gorenstein's work include DNA and Nucleic Acid Chemistry (73 papers), Advanced biosensing and bioanalysis techniques (51 papers) and RNA and protein synthesis mechanisms (35 papers). David G. Gorenstein is often cited by papers focused on DNA and Nucleic Acid Chemistry (73 papers), Advanced biosensing and bioanalysis techniques (51 papers) and RNA and protein synthesis mechanisms (35 papers). David G. Gorenstein collaborates with scholars based in United States, India and Mexico. David G. Gorenstein's co-authors include Bruce A. Luxon, Varatharasa Thiviyanathan, David E. Volk, Claude R. Jones, Robert Meadows, John B. C. Findlay, Edward P. Nikonowicz, Robert Rowell, Anoma Somasunderam and Vikram Roongta and has published in prestigious journals such as Chemical Reviews, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

David G. Gorenstein

252 papers receiving 8.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David G. Gorenstein United States 49 5.6k 1.4k 1.1k 706 559 257 8.5k
Mats H. M. Olsson Sweden 31 5.8k 1.0× 1.0k 0.7× 538 0.5× 1.6k 2.3× 425 0.8× 43 8.9k
Adrian Goldman Finland 44 7.0k 1.3× 972 0.7× 539 0.5× 1.5k 2.1× 329 0.6× 178 10.8k
Fuyuhiko Inagaki Japan 64 7.3k 1.3× 2.1k 1.5× 706 0.7× 854 1.2× 195 0.3× 329 14.6k
Zygmunt S. Derewenda United States 60 9.3k 1.7× 909 0.6× 1.3k 1.2× 2.2k 3.1× 685 1.2× 154 12.2k
Gordon C. K. Roberts United Kingdom 64 7.1k 1.3× 1.1k 0.8× 1.9k 1.8× 2.0k 2.9× 335 0.6× 293 12.6k
Paul O. P. Ts’o United States 57 8.4k 1.5× 1.5k 1.1× 1.1k 1.0× 535 0.8× 340 0.6× 255 11.3k
Richard Wolfenden United States 55 9.4k 1.7× 2.2k 1.5× 937 0.9× 2.6k 3.7× 471 0.8× 189 12.5k
Duncan E. McRee United States 43 5.8k 1.0× 1.6k 1.1× 474 0.4× 1.9k 2.7× 283 0.5× 86 9.1k
Donald Bashford United States 40 7.3k 1.3× 1.2k 0.9× 932 0.9× 2.0k 2.9× 340 0.6× 71 10.0k
Carol A. Fierke United States 60 8.8k 1.6× 1.6k 1.1× 975 0.9× 1.8k 2.5× 261 0.5× 240 12.2k

Countries citing papers authored by David G. Gorenstein

Since Specialization
Citations

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

Fields of papers citing papers by David G. Gorenstein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David G. Gorenstein. 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 David G. Gorenstein. The network helps show where David G. Gorenstein may publish in the future.

Co-authorship network of co-authors of David G. Gorenstein

This figure shows the co-authorship network connecting the top 25 collaborators of David G. Gorenstein. A scholar is included among the top collaborators of David G. Gorenstein 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 David G. Gorenstein. David G. Gorenstein 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.
Walss‐Bass, Consuelo, G.L. Lokesh, David G. Gorenstein, et al.. (2018). X-Aptamer Technology Identifies C4A and ApoB in Blood as Potential Markers for Schizophrenia. PubMed. 5(1). 52–59. 19 indexed citations
2.
Leonard, Fransisca, Ngan P. Ha, Preeti Sule, et al.. (2017). Thioaptamer targeted discoidal microparticles increase self immunity and reduce Mycobacterium tuberculosis burden in mice. Journal of Controlled Release. 266. 238–247. 15 indexed citations
3.
Mu, Qingshan, Akshaya V. Annapragada, Akshaya V. Annapragada, et al.. (2016). Conjugate-SELEX: A High-throughput Screening of Thioaptamer-liposomal Nanoparticle Conjugates for Targeted Intracellular Delivery of Anticancer Drugs. Molecular Therapy — Nucleic Acids. 5(10). e382–e382. 14 indexed citations
4.
Volk, David E., et al.. (2014). Thioaptamers targeting dengue virus type-2 envelope protein domain III. Biochemical and Biophysical Research Communications. 453(3). 309–315. 18 indexed citations
5.
6.
Bowick, Gavin C., Susan M. Fennewald, Lihong Zhang, et al.. (2009). Attenuated and Lethal Variants of Pichindé Virus Induce Differential Patterns of NF-κB Activation Suggesting a Potential Target for Novel Therapeutics. Viral Immunology. 22(6). 457–462. 10 indexed citations
7.
Volk, David E., et al.. (2009). Structure of yellow fever virus envelope protein domain III. Virology. 394(1). 12–18. 31 indexed citations
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Kang, Jonghoon, et al.. (2007). Application of RNase in the purification of RNA-binding proteins. Analytical Biochemistry. 365(1). 147–148. 8 indexed citations
10.
Kang, Jonghoon, et al.. (2005). The enhancement of PCR amplification of a random sequence DNA library by DMSO and betaine: Application to in vitro combinatorial selection of aptamers. Journal of Biochemical and Biophysical Methods. 64(2). 147–151. 76 indexed citations
11.
Morrisett, Joel D., Rakesh Sharma, Gerald M. Lawrie, et al.. (2003). Discrimination of components in atherosclerotic plaques from human carotid endarterectomy specimens by magnetic resonance imaging ex vivo. Magnetic Resonance Imaging. 21(5). 465–474. 59 indexed citations
12.
Peterson, Johnny W., David J. King, Edward L. Ezell, et al.. (2001). Cholera toxin-induced PGE2 activity is reduced by chemical reaction with l-histidine. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1537(1). 27–41. 10 indexed citations
13.
Leontis, Neocles B., Michael Hills, Martial Piotto, et al.. (1995). Helical stacking in DNA three-way junctions containing two unpaired pyrimidines: proton NMR studies. Biophysical Journal. 68(1). 251–265. 24 indexed citations
14.
Nikonowicz, Edward P. & David G. Gorenstein. (1990). Two-dimensional proton and phosphorus-31 NMR spectra and restrained molecular dynamics structure of a mismatched GA decamer oligodeoxyribonucleotide duplex. Biochemistry. 29(37). 8845–8858. 57 indexed citations
15.
Gorenstein, David G., et al.. (1989). Phosphorus-31 NMR of covalent phosphorylated derivatives of .alpha.-chymotrypsin. Biochemistry. 28(5). 2050–2058. 11 indexed citations
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18.
Gorenstein, David G., et al.. (1987). Contribution of ring strain and the stereoelectronic effect to the hydrolysis of cyclic five-membered ring phosphorus esters. Tetrahedron. 43(3). 479–486. 18 indexed citations
19.
Gorenstein, David G.. (1984). Phosphorus-31 NMR : principles and applications. Academic Press eBooks. 254 indexed citations
20.
Gorenstein, David G. & F. H. Westheimer. (1967). Inhibited pseudo-rotation in a cyclic monoalkyphosphorane. Journal of the American Chemical Society. 89(11). 2762–2764. 23 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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