Ved V. Topkar

6.4k total citations · 4 hit papers
15 papers, 4.3k citations indexed

About

Ved V. Topkar is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Structural Biology. According to data from OpenAlex, Ved V. Topkar has authored 15 papers receiving a total of 4.3k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 2 papers in Public Health, Environmental and Occupational Health and 1 paper in Structural Biology. Recurrent topics in Ved V. Topkar's work include CRISPR and Genetic Engineering (8 papers), RNA and protein synthesis mechanisms (5 papers) and RNA modifications and cancer (4 papers). Ved V. Topkar is often cited by papers focused on CRISPR and Genetic Engineering (8 papers), RNA and protein synthesis mechanisms (5 papers) and RNA modifications and cancer (4 papers). Ved V. Topkar collaborates with scholars based in United States, Hong Kong and Sweden. Ved V. Topkar's co-authors include Shengdar Q. Tsai, J. Keith Joung, Nathalie T. Nguyen, Martin J. Aryee, Zongli Zheng, Michelle S. Prew, Benjamin P. Kleinstiver, Cyd Khayter, Nicolas Wyvekens and A. John Iafrate and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Nature Biotechnology.

In The Last Decade

Ved V. Topkar

15 papers receiving 4.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

GUIDE-seq enables genome-wide profiling of off-target cleavage by CRISPR-Cas nucleases

2014 1.6k citations Shengdar Q. Tsai, Zongli Zheng et al. Nature Biotechnology profile →
Engineered CRISPR-Cas9 nucleases with altered PAM specificities

2015 1.3k citations Benjamin P. Kleinstiver, Michelle S. Prew et al. Nature profile →
CIRCLE-seq: a highly sensitive in vitro screen for genome-wide CRISPR–Cas9 nuclease off-targets

2017 547 citations Shengdar Q. Tsai, Nathalie T. Nguyen et al. Nature Methods profile →
Broadening the targeting range of Staphylococcus aureus CRISPR-Cas9 by modifying PAM recognition

2015 466 citations Benjamin P. Kleinstiver, Michelle S. Prew et al. Nature Biotechnology profile →

Peers

Countries citing papers authored by Ved V. Topkar

Since Specialization

Citations

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

Fields of papers citing papers by Ved V. Topkar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ved V. Topkar. 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 Ved V. Topkar. The network helps show where Ved V. Topkar may publish in the future.

Co-authorship network of co-authors of Ved V. Topkar

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

All Works

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15 of 15 papers shown

#	Work	Indexed citations
1	Three-dimensional structure-guided evolution of a ribosome with tethered subunits 2022 ·Nature Chemical Biology ·Do Soon Kim, Andrew M. Watkins, (unknown), Joongoo Lee, Ved V. Topkar, (unknown), Kevin J. Schwarz, Yan Liu, Grigore Pintilie, (unknown), Rhiju Das, Michael C. Jewett	13
2	Defining genome-wide CRISPR–Cas genome-editing nuclease activity with GUIDE-seq 2021 ·Nature Protocols ·Nikolay Malinin, GaHyun Lee, Cícera R. Lazzarotto, Yichao Li, Zongli Zheng, Nathalie T. Nguyen, Matthew Liebers, Ved V. Topkar, A. John Iafrate, Long P. Le, Martin J. Aryee, J. Keith Joung, Shengdar Q. Tsai	46
3	mRNA Transport and Local Translation in Glia 2021 ·Trends in Cell Biology ·(unknown), Ved V. Topkar, Meng‐meng Fu	14
4	Accelerated cryo-EM-guided determination of three-dimensional RNA-only structures 2020 ·Nature Methods ·Kalli Kappel, Kaiming Zhang, Zhaoming Su, Andrew M. Watkins, Wipapat Kladwang, Shanshan Li, Grigore Pintilie, Ved V. Topkar, Ramya Rangan, Ivan N. Zheludev, Joseph D. Yesselman, Wah Chiu, Rhiju Das	120
5	Anomalous Reverse Transcription through Chemical Modifications in Polyadenosine Stretches 2020 ·Biochemistry ·Wipapat Kladwang, Ved V. Topkar, Bei Liu, Ramya Rangan, (unknown), Sarah C. Keane, Hashim M. Al‐Hashimi, Rhiju Das	8
6	Transcription factors, coregulators, and epigenetic marks are linearly correlated and highly redundant 2017 ·PLoS ONE ·(unknown), Frank Müller, Ved V. Topkar, Jeremy Gunawardena, Roland Eils	6
7	CIRCLE-seq: a highly sensitive in vitro screen for genome-wide CRISPR–Cas9 nuclease off-targets breakdown → 2017 ·Nature Methods ·Shengdar Q. Tsai, Nathalie T. Nguyen, Jose Malagon-Lopez, Ved V. Topkar, Martin J. Aryee, J. Keith Joung	547
8	Circularization for In vitro Reporting of Cleavage Effects (CIRCLE-seq) 2017 ·Protocol Exchange ·(unknown), Shengdar Q. Tsai, Nathalie T. Nguyen, Jose Malagon-Lopez, Ved V. Topkar, Martin J. Aryee, J. Keith Joung	1
9	Open-source guideseq software for analysis of GUIDE-seq data 2016 ·Nature Biotechnology ·Shengdar Q. Tsai, Ved V. Topkar, J. Keith Joung, Martin J. Aryee	49
10	Broadening the targeting range of Staphylococcus aureus CRISPR-Cas9 by modifying PAM recognition breakdown → 2015 ·Nature Biotechnology ·Benjamin P. Kleinstiver, Michelle S. Prew, Shengdar Q. Tsai, Nathalie T. Nguyen, Ved V. Topkar, Zongli Zheng, J. Keith Joung	466
11	Engineered CRISPR-Cas9 nucleases with altered PAM specificities breakdown → 2015 ·Nature ·Benjamin P. Kleinstiver, Michelle S. Prew, Shengdar Q. Tsai, Ved V. Topkar, Nathalie T. Nguyen, Zongli Zheng, (unknown), Zhuyun Li, Randall T. Peterson, Jing-Ruey Joanna Yeh, Martin J. Aryee, J. Keith Joung	1256
12	58. Engineered Cas9 Variants with Novel PAM Specificities Expand the Targeting Range of CRISPR/Cas Nucleases 2015 ·Molecular Therapy ·Benjamin P. Kleinstiver, Michelle S. Prew, Ved V. Topkar, Shengdar Q. Tsai, (unknown)	2
13	Dimeric CRISPR RNA-Guided FokI-dCas9 Nucleases Directed by Truncated gRNAs for Highly Specific Genome Editing 2015 ·Human Gene Therapy ·Nicolas Wyvekens, Ved V. Topkar, Cyd Khayter, J. Keith Joung, Shengdar Q. Tsai	121
14	Replacing Uridine with 2-Thiouridine Enhances the Rate and Fidelity of Nonenzymatic RNA Primer Extension 2015 ·Journal of the American Chemical Society ·Benjamin D. Heuberger, (unknown), (unknown), Ved V. Topkar, Jack W. Szostak	62
15	GUIDE-seq enables genome-wide profiling of off-target cleavage by CRISPR-Cas nucleases breakdown → 2014 ·Nature Biotechnology ·Shengdar Q. Tsai, Zongli Zheng, Nathalie T. Nguyen, Matthew Liebers, Ved V. Topkar, Vishal Thapar, Nicolas Wyvekens, Cyd Khayter, A. John Iafrate, Long P. Le, Martin J. Aryee, J. Keith Joung	1582

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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