Shankar Shastry

803 total citations
12 papers, 564 citations indexed

About

Shankar Shastry is a scholar working on Cell Biology, Molecular Biology and Condensed Matter Physics. According to data from OpenAlex, Shankar Shastry has authored 12 papers receiving a total of 564 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cell Biology, 6 papers in Molecular Biology and 3 papers in Condensed Matter Physics. Recurrent topics in Shankar Shastry's work include Microtubule and mitosis dynamics (6 papers), Cellular transport and secretion (3 papers) and Micro and Nano Robotics (3 papers). Shankar Shastry is often cited by papers focused on Microtubule and mitosis dynamics (6 papers), Cellular transport and secretion (3 papers) and Micro and Nano Robotics (3 papers). Shankar Shastry collaborates with scholars based in United States and India. Shankar Shastry's co-authors include William O. Hancock, Göker Arpağ, Erkan Tüzel, Steven M. Block, Johan O. L. Andreasson, Sue Wickner, Ruchika Sharma, Daniel C. Masison, Michael Reidy and Andrea N. Kravats and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

Shankar Shastry

12 papers receiving 561 citations

Peers

Shankar Shastry

CB

MB

GENET

CMP

CNC

Stefan Sack Germany

Richard W. Branch United Kingdom

Norbert Lindow Germany

Edward W. Wallace United Kingdom

Brian Drawert United States

Masami Hagiya Japan

Giuseppe Facchetti Italy

Olav Zimmermann Germany

Felix Ruhnow Germany

Yoon Sup Choi South Korea

Stefan Sack Germany

Shankar Shastry

698 ×2.0

CB

584 ×2.1

MB

49 ×0.8

GENET

39 ×0.7

CMP

11 ×0.2

CNC

Citations per year, relative to Shankar Shastry Shankar Shastry (= 1×) peers Stefan Sack

Countries citing papers authored by Shankar Shastry

Since Specialization

Citations

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

Fields of papers citing papers by Shankar Shastry

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shankar Shastry

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

All Works

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12 of 12 papers shown

1.

Long, Xi, et al.. (2022). Single-Molecule Mechanical Analysis of Strand Invasion in Human Telomere DNA. Biochemistry. 61(15). 1554–1560. 2 indexed citations

2.

Shastry, Shankar, et al.. (2018). Direct observation of nucleic acid binding dynamics by the telomerase essential N-terminal domain. Nucleic Acids Research. 46(6). 3088–3102. 7 indexed citations

3.

Ramakrishnan, Raghu, John R. Douceur, M.A. Mañú, et al.. (2017). Azure Data Lake Store. 51–63. 72 indexed citations

4.

Engelke, Martin F., Michael Winding, Yang Yue, et al.. (2016). Engineered kinesin motor proteins amenable to small-molecule inhibition. Nature Communications. 7(1). 26 indexed citations

5.

Andreasson, Johan O. L., Shankar Shastry, William O. Hancock, & Steven M. Block. (2015). The Mechanochemical Cycle of Mammalian Kinesin-2 KIF3A/B under Load. Current Biology. 25(9). 1166–1175. 64 indexed citations

6.

Arpağ, Göker, Shankar Shastry, William O. Hancock, & Erkan Tüzel. (2014). Transport by Populations of Fast and Slow Kinesins Uncovers Novel Family-Dependent Motor Characteristics Important for In Vivo Function. Biophysical Journal. 107(8). 1896–1904. 69 indexed citations

7.

Doyle, Shannon M., Shankar Shastry, Andrea N. Kravats, et al.. (2014). Interplay between E. coli DnaK, ClpB and GrpE during Protein Disaggregation. Journal of Molecular Biology. 427(2). 312–327. 48 indexed citations

8.

Reidy, Michael, et al.. (2014). Hsp40s Specify Functions of Hsp104 and Hsp90 Protein Chaperone Machines. PLoS Genetics. 10(10). e1004720–e1004720. 54 indexed citations

9.

Hughes, John, Shankar Shastry, William O. Hancock, & John Fricks. (2013). Estimating Velocity for Processive Motor Proteins with Random Detachment. Journal of Agricultural Biological and Environmental Statistics. 18(2). 204–217. 5 indexed citations

10.

Shastry, Shankar & William O. Hancock. (2011). Interhead tension determines processivity across diverse N-terminal kinesins. Proceedings of the National Academy of Sciences. 108(39). 16253–16258. 73 indexed citations

11.

Shastry, Shankar & William O. Hancock. (2010). Neck Linker Length Determines the Degree of Processivity in Kinesin-1 and Kinesin-2 Motors. Current Biology. 20(10). 939–943. 90 indexed citations

12.

Shastry, Shankar, et al.. (2009). The Processivity of Kinesin-2 Motors Suggests Diminished Front-Head Gating. Current Biology. 19(5). 442–447. 54 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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