Ved V. Topkar

6.4k citations
15 papers · 4.3k indexed · 4 hit papers · h-index 11

Ved V. Topkar

15 papers receiving 4.2k citations

Hit Papers

CIRCLE-seq: a highly sensitive in vitro screen for genome...547201420262018202250010001.5k

Peers

Ved V. Topkar
Comparison fields: 5 of 86
  • Business and International Management 542
  • Aging 358
  • Molecular Biology 4.2k
  • Genetics 904
  • Insect Science 290
Replace Joshua A. Weinstein with:
Joshua A. Weinstein United States
Michelle S. Prew United States
Carolin Anders Switzerland
Vikram Pattanayak United States
David I. Bryson United States
David E. Paschon United States
Nicole M. Gaudelli United States
Yannick Doyon Canada
John P. Guilinger United States
Aaron Cheng United States
Ved V. Topkar relative to Joshua A. Weinstein United States Joshua A. Weinstein's profile →
Citations per field
00.5×1.5×
Joshua A. Weinstein · 1×
Citations per year

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

The 25 scholars most cited alongside Ved V. Topkar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ved V. Topkar Line = papers co-authored together Ved V. Topkar links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 202213
2 202146
3 202114
4 2020120
5 20208
6 20176
7
CIRCLE-seq: a highly sensitive in vitro screen for genome-wide CRISPR–Cas9 nuclease off-targetsbreakdown →
2017547
8 20171
9 201649
10
Broadening the targeting range of Staphylococcus aureus CRISPR-Cas9 by modifying PAM recognitionbreakdown →
2015466
11
Engineered CRISPR-Cas9 nucleases with altered PAM specificitiesbreakdown →
20151256
12 20152
13 2015121
14 201562
15
GUIDE-seq enables genome-wide profiling of off-target cleavage by CRISPR-Cas nucleasesbreakdown →
20141582

About Ved V. Topkar

Ved V. Topkar is a scholar working on Structural Biology, Business and International Management and Molecular Biology, having authored 15 papers that have together received 4.3k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (8 papers), RNA and protein synthesis mechanisms (5 papers), RNA modifications and cancer (4 papers), Advanced biosensing and bioanalysis techniques (4 papers), RNA regulation and disease (3 papers), RNA Research and Splicing (3 papers), Mosquito-borne diseases and control (2 papers) and Pluripotent Stem Cells Research (1 paper). The work is most often cited by research in Business and International Management (542 citations), Aging (358 citations) and Molecular Biology (4.2k citations). Ved V. Topkar has collaborated with scholars based in United States, Hong Kong and Sweden. Frequent 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. Their work appears in journals such as Nature, Journal of the American Chemical Society and Nature Biotechnology.

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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