Suhani Vora

2.4k citations
6 papers · 1.7k · 1 hit paper · h-index 5

Impact in

Papers in

    • CRISPR and Genetic Engineering 5
    • RNA Interference and Gene Delivery 3
    • RNA regulation and disease 2
    • Advanced biosensing and bioanalysis techniques 1
    • RNA Research and Splicing 1
    • Pluripotent Stem Cells Research 1
    • RNA and protein synthesis mechanisms 1

Suhani Vora

6 papers receiving 1.7k citations

Hit Papers

Highly efficient Cas9-mediated transcriptional programming 2015 · 1.2k citations
1.2k0+3+7Years since publication2505007501000

Peers

Suhani Vora
Comparison fields: 5 of 80
  • Aging 155
  • Business and International Management 110
  • Molecular Biology 1.6k
  • Cancer Research 199
  • Genetics 247
Replace Michael C. Bassik with:
Michael C. Bassik United States
Quan Ho United States
Christopher D. Guzman United States
Pengpeng Liu China
Marcelle Tuttle United States
Yidi Sun China
Samantha J Linder United States
Heon Seok Kim South Korea
Ravi Alla United States
Elizabeth Frias Switzerland
Suhani Vora relative to Michael C. Bassik United States Michael C. Bassik's profile →
Citations per field
00.5×1.5×
Michael C. Bassik · 1×
Citations per year

Countries citing papers authored by Suhani Vora

Since Specialization
Citations

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

Fields of papers citing papers by Suhani Vora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Suhani Vora, 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 Suhani Vora Line = papers co-authored together Suhani Vora links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
Highly efficient Cas9-mediated transcriptional programming
Hit paper breakdown →
20151183
2 2015249
3 2018237
4 201658
5 20167
6
Cas9 gRNA engineering for genome editing, activation and repression
20151

About Suhani Vora

Suhani Vora is a scholar working on Molecular Biology, Ecology, Global and Planetary Change, Cancer Research and Infectious Diseases, having authored 6 papers that have together received 1.7k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (5 papers), RNA Interference and Gene Delivery (3 papers), RNA regulation and disease (2 papers), Advanced biosensing and bioanalysis techniques (1 paper), RNA Research and Splicing (1 paper), Cancer-related molecular mechanisms research (1 paper), Pluripotent Stem Cells Research (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Aging (155 citations), Business and International Management (110 citations), Molecular Biology (1.6k citations), Cancer Research (199 citations) and Genetics (247 citations). Suhani Vora has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include George M. Church, Alejandro Chavez, Marcelle Tuttle, Benjamin W. Pruitt, James J. Collins, Ron Weiss, Dmitry Ter‐Ovanesyan, Samira Kiani, Jonathan Scheiman and Daniel J. Wiegand. Their work appears in journals such as Nature Methods, Cell, PLoS ONE, FEBS Journal and DSpace@MIT (Massachusetts Institute of Technology).

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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