Sarah C. Keane

1.2k total citations
25 papers, 876 citations indexed

About

Sarah C. Keane is a scholar working on Molecular Biology, Animal Science and Zoology and Cancer Research. According to data from OpenAlex, Sarah C. Keane has authored 25 papers receiving a total of 876 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 5 papers in Animal Science and Zoology and 5 papers in Cancer Research. Recurrent topics in Sarah C. Keane's work include RNA and protein synthesis mechanisms (13 papers), RNA Research and Splicing (12 papers) and RNA modifications and cancer (8 papers). Sarah C. Keane is often cited by papers focused on RNA and protein synthesis mechanisms (13 papers), RNA Research and Splicing (12 papers) and RNA modifications and cancer (8 papers). Sarah C. Keane collaborates with scholars based in United States, Slovenia and Austria. Sarah C. Keane's co-authors include David Giedroc, Pinghua Liu, Julian L. Leibowitz, Michael F. Summers, Lichun Li, Xiao Heng, Huaqun Zhang, Nicholas E. Grossoehme, Charles E. Dann and David A. Case 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

Sarah C. Keane

21 papers receiving 871 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sarah C. Keane United States	13	598	270	184	120	90	25	876
Christopher W. Leonard United States	10	1.0k 1.7×	146 0.5×	237 1.3×	23 0.2×	107 1.2×	11	1.2k
Julia C. Kenyon United Kingdom	15	348 0.6×	153 0.6×	241 1.3×	40 0.3×	65 0.7×	27	590
Hadas Tamir Israel	10	625 1.0×	530 2.0×	346 1.9×	95 0.8×	83 0.9×	19	1.2k
Victoria D′Souza United States	15	1.0k 1.7×	166 0.6×	315 1.7×	27 0.2×	191 2.1×	19	1.2k
Roland Iványi-Nagy France	14	403 0.7×	172 0.6×	228 1.2×	21 0.2×	71 0.8×	18	638
Jennifer M. Binning United States	12	184 0.3×	328 1.2×	92 0.5×	76 0.6×	27 0.3×	18	617
Siarhei Kharytonchyk United States	10	643 1.1×	137 0.5×	410 2.2×	11 0.1×	80 0.9×	16	774
Raquel Garijo Spain	8	175 0.3×	180 0.7×	153 0.8×	35 0.3×	27 0.3×	12	461
L Sharmeen United States	12	780 1.3×	314 1.2×	365 2.0×	44 0.4×	90 1.0×	16	1.4k
Irina C. Albulescu Netherlands	14	165 0.3×	522 1.9×	102 0.6×	60 0.5×	51 0.6×	20	840

Countries citing papers authored by Sarah C. Keane

Since Specialization

Citations

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

Fields of papers citing papers by Sarah C. Keane

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sarah C. Keane. 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 Sarah C. Keane. The network helps show where Sarah C. Keane may publish in the future.

Co-authorship network of co-authors of Sarah C. Keane

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Westwood, Marta, et al.. (2025). Structural Features Within Precursor microRNA-20a Regulate Dicer-TRBP Processing. Journal of Molecular Biology. 437(23). 169317–169317.

Keane, Sarah C., et al.. (2025). Structure guided discovery of small molecule ligands targeting the oncomiR-1 NPSL2 hairpin. Scientific Reports. 15(1). 29841–29841.

Gold, Scott E., et al.. (2024). Template switching enables chemical probing of native RNA structures. RNA. 31(1). 113–125. 1 indexed citations

Weidmann, Chase A., et al.. (2024). Functional Validation of SAM Riboswitch Element A from Listeria monocytogenes. Biochemistry. 63(20). 2621–2631.

Kotar, Anita, et al.. (2022). pH dependence of C•A, G•A and A•A mismatches in the stem of precursor microRNA-31. Biophysical Chemistry. 283. 106763–106763. 12 indexed citations

Liu, Yaping, et al.. (2022). Solution Structure of NPSL2, A Regulatory Element in the oncomiR-1 RNA. Journal of Molecular Biology. 434(18). 167688–167688. 12 indexed citations

Roy, Ashok, Ken Courtenay, Patricia Noonan Walsh, et al.. (2021). Setting priorities for people with intellectual disability/intellectual developmental disorders across the lifespan: a call to action by the World Psychiatric Association. BJPsych International. 18(3). 54–57. 10 indexed citations

Kotar, Anita, et al.. (2020). Advanced approaches for elucidating structures of large RNAs using NMR spectroscopy and complementary methods. Methods. 183. 93–107. 29 indexed citations

Zhang, Huaqun, et al.. (2020). A Tale of Two Transitions: The Unfolding Mechanism of the prfA RNA Thermosensor. Biochemistry. 59(48). 4533–4545. 7 indexed citations

10.

Zhang, Kaiming, Sarah C. Keane, Zhaoming Su, et al.. (2018). Structure of the 30 kDa HIV-1 RNA Dimerization Signal by a Hybrid Cryo-EM, NMR, and Molecular Dynamics Approach. Structure. 26(3). 490–498.e3. 57 indexed citations

11.

Carlson, Lars A., Yun Bai, Sarah C. Keane, Jennifer A. Doudna, & James H. Hurley. (2016). Reconstitution of selective HIV-1 RNA packaging in vitro by membrane-bound Gag assemblies. eLife. 5. 36 indexed citations

12.

Keane, Sarah C., et al.. (2016). NMR Studies of the Structure and Function of the HIV-1 5′-Leader. Viruses. 8(12). 338–338. 30 indexed citations

13.

Keane, Sarah C., Xiao Heng, Kun Lu, et al.. (2015). Structure of the HIV-1 RNA packaging signal. Science. 348(6237). 917–921. 208 indexed citations

14.

Alvarado, Luigi J., Regan M. LeBlanc, Andrew P. Longhini, et al.. (2014). Regio‐Selective Chemical‐Enzymatic Synthesis of Pyrimidine Nucleotides Facilitates RNA Structure and Dynamics Studies. ChemBioChem. 15(11). 1573–1577. 44 indexed citations

15.

Keane, Sarah C. & David Giedroc. (2013). Solution Structure of Mouse Hepatitis Virus (MHV) nsp3a and Determinants of the Interaction with MHV Nucleocapsid (N) Protein. Journal of Virology. 87(6). 3502–3515. 42 indexed citations

16.

Keane, Sarah C. & David Giedroc. (2012). 1H, 13C, 15N resonance assignments of murine hepatitis virus nonstructural protein 3a. Biomolecular NMR Assignments. 8(1). 15–17. 1 indexed citations

17.

Keane, Sarah C., Pinghua Liu, Julian L. Leibowitz, & David Giedroc. (2012). Functional Transcriptional Regulatory Sequence (TRS) RNA Binding and Helix Destabilizing Determinants of Murine Hepatitis Virus (MHV) Nucleocapsid (N) Protein. Journal of Biological Chemistry. 287(10). 7063–7073. 39 indexed citations

18.

Grossoehme, Nicholas E., Lichun Li, Sarah C. Keane, et al.. (2009). Coronavirus N Protein N-Terminal Domain (NTD) Specifically Binds the Transcriptional Regulatory Sequence (TRS) and Melts TRS-cTRS RNA Duplexes. Journal of Molecular Biology. 394(3). 544–557. 117 indexed citations

19.

Liu, Pinghua, Lichun Li, Sarah C. Keane, et al.. (2009). Mouse Hepatitis Virus Stem-Loop 2 Adopts a uYNMG(U)a-Like Tetraloop Structure That Is Highly Functionally Tolerant of Base Substitutions. Journal of Virology. 83(23). 12084–12093. 39 indexed citations

20.

Keane, Sarah C., et al.. (1997). La Liebre y la Tortuga. 1 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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