Scott D. Kennedy

2.8k total citations
91 papers, 2.2k citations indexed

About

Scott D. Kennedy is a scholar working on Molecular Biology, Spectroscopy and Nuclear and High Energy Physics. According to data from OpenAlex, Scott D. Kennedy has authored 91 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Molecular Biology, 22 papers in Spectroscopy and 21 papers in Nuclear and High Energy Physics. Recurrent topics in Scott D. Kennedy's work include RNA and protein synthesis mechanisms (44 papers), DNA and Nucleic Acid Chemistry (27 papers) and NMR spectroscopy and applications (21 papers). Scott D. Kennedy is often cited by papers focused on RNA and protein synthesis mechanisms (44 papers), DNA and Nucleic Acid Chemistry (27 papers) and NMR spectroscopy and applications (21 papers). Scott D. Kennedy collaborates with scholars based in United States, Poland and China. Scott D. Kennedy's co-authors include Douglas H. Turner, Robert G. Bryant, Ilyas Yildirim, Harry A. Stern, Ryszard Kierzek, Eriks Rozners, Jianhui Zhong, Thomas R. Krugh, David E. Condon and Gang Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Nucleic Acids Research.

In The Last Decade

Scott D. Kennedy

91 papers receiving 2.2k citations

Peers

Scott D. Kennedy
John P. Marino United States
Oliver Ohlenschläger Germany
Ranajeet Ghose United States
Georg Kontaxis Austria
Ananya Majumdar United States
Dominique Marion France
Timothy M. Logan United States
Thomas Schleich United States
Vadim Gaponenko United States
Nicola Salvi France
John P. Marino United States
Scott D. Kennedy
Citations per year, relative to Scott D. Kennedy Scott D. Kennedy (= 1×) peers John P. Marino

Countries citing papers authored by Scott D. Kennedy

Since Specialization
Citations

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

Fields of papers citing papers by Scott D. Kennedy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Scott D. Kennedy. 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 Scott D. Kennedy. The network helps show where Scott D. Kennedy may publish in the future.

Co-authorship network of co-authors of Scott D. Kennedy

This figure shows the co-authorship network connecting the top 25 collaborators of Scott D. Kennedy. A scholar is included among the top collaborators of Scott D. Kennedy 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 Scott D. Kennedy. Scott D. Kennedy 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.
Kierzek, Elżbieta, Xiaoju Zhang, Richard M. Watson, et al.. (2022). Secondary structure prediction for RNA sequences including N6-methyladenosine. Nature Communications. 13(1). 1271–1271. 41 indexed citations
2.
3.
Bottaro, Sandro, Giovanni Bussi, Scott D. Kennedy, Douglas H. Turner, & Kresten Lindorff‐Larsen. (2018). Conformational ensembles of RNA oligonucleotides from integrating NMR and molecular simulations. Science Advances. 4(5). eaar8521–eaar8521. 92 indexed citations
4.
Spasic, Aleksandar, Scott D. Kennedy, Muthiah Manoharan, et al.. (2018). Molecular dynamics correctly models the unusual major conformation of the GAGU RNA internal loop and with NMR reveals an unusual minor conformation. RNA. 24(5). 656–672. 8 indexed citations
5.
Pallan, Pradeep S., Scott D. Kennedy, Martin Egli, et al.. (2017). Amide linkages mimic phosphates in RNA interactions with proteins and are well tolerated in the guide strand of short interfering RNAs. Nucleic Acids Research. 45(14). 8142–8155. 35 indexed citations
6.
Sripakdeevong, Parin, Andrew Chang, Michèle C. Erat, et al.. (2014). Structure determination of noncanonical RNA motifs guided by 1H NMR chemical shifts. Nature Methods. 11(4). 413–416. 55 indexed citations
7.
Wang, Wenhua, Alexandre Maucuer, Ankit Gupta, et al.. (2012). Structure of Phosphorylated SF1 Bound to U2AF65 in an Essential Splicing Factor Complex. Structure. 21(2). 197–208. 37 indexed citations
8.
Selvam, Chelliah, et al.. (2011). Amides as Excellent Mimics of Phosphate Linkages in RNA. Angewandte Chemie International Edition. 50(9). 2068–2070. 42 indexed citations
9.
Yildirim, Ilyas, et al.. (2011). Benchmarking AMBER Force Fields for RNA: Comparisons to NMR Spectra for Single-Stranded r(GACC) Are Improved by Revised χ Torsions. The Journal of Physical Chemistry B. 115(29). 9261–9270. 85 indexed citations
10.
Petri, Edward T., Andjelka S. Ćelić, Scott D. Kennedy, et al.. (2010). Structure of the EF-hand domain of polycystin-2 suggests a mechanism for Ca 2+ -dependent regulation of polycystin-2 channel activity. Proceedings of the National Academy of Sciences. 107(20). 9176–9181. 61 indexed citations
11.
Flynn, Michael K., et al.. (2008). Inherited pelvic organ prolapse in the mouse: preliminary evaluation of a new murine model. International Urogynecology Journal. 20(1). 19–25. 7 indexed citations
12.
Kennedy, Scott D., et al.. (2007). Theoretical studies of the effect of the dipolar field in multiple spin-echo sequences with refocusing pulses of finite duration. Journal of Magnetic Resonance. 185(2). 247–258. 9 indexed citations
13.
Kennedy, Scott D., et al.. (2007). Functional MRI at 3T using intermolecular double-quantum coherence (iDQC) with spin-echo (SE) acquisitions. Magnetic Resonance Materials in Physics Biology and Medicine. 20(5-6). 255–264. 8 indexed citations
14.
Kennedy, Scott D. & Jianhui Zhong. (2004). Diffusion measurements free of motion artifacts using intermolecular dipole‐dipole interactions. Magnetic Resonance in Medicine. 52(1). 1–6. 22 indexed citations
15.
Kennedy, Scott D., et al.. (2002). Thermodynamic and Kinetic Exploration of the Energy Landscape of Borrelia burgdorferi OspA by Native-state Hydrogen Exchange. Journal of Molecular Biology. 323(2). 363–375. 56 indexed citations
16.
Zhong, Jianhui, Zhong Chen, Edmund Kwok, & Scott D. Kennedy. (2001). Enhanced sensitivity to molecular diffusion with intermolecular double-quantum coherences: implications and potential applications. Magnetic Resonance Imaging. 19(1). 33–39. 32 indexed citations
17.
Kennedy, Scott D., Lidia S. Szczepaniak, S. L. Gibson, et al.. (1994). Quantitative MRI of Gd‐DTPA uptake in tumors: Response to photo dynamic therapy. Magnetic Resonance in Medicine. 31(3). 292–301. 40 indexed citations
18.
Kennedy, Scott D., et al.. (1993). Solid-state and solution conformations of isotiazofurin: crystallographic, computational and 1H NMR studies. Acta Crystallographica Section B Structural Science. 49(4). 729–738. 4 indexed citations
19.
Mendelson, Daniel Ari, et al.. (1991). Comparison of agarose and cross-linked protein gels as magnetic resonance imaging phantoms. Magnetic Resonance Imaging. 9(6). 975–978. 17 indexed citations
20.
Kennedy, Scott D. & Robert G. Bryant. (1990). Hydration effects on dynamics of polyglycine and sodium poly(L‐glutamate). Biopolymers. 30(7-8). 691–701. 7 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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