Suhani Vora

2.4k total citations · 1 hit paper
6 papers, 1.7k citations indexed

About

Suhani Vora is a scholar working on Molecular Biology, Ecology and Global and Planetary Change. According to data from OpenAlex, Suhani Vora has authored 6 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 1 paper in Ecology and 1 paper in Global and Planetary Change. Recurrent topics in Suhani Vora's work include CRISPR and Genetic Engineering (5 papers), RNA Interference and Gene Delivery (3 papers) and RNA regulation and disease (2 papers). Suhani Vora is often cited by papers focused on CRISPR and Genetic Engineering (5 papers), RNA Interference and Gene Delivery (3 papers) and RNA regulation and disease (2 papers). Suhani Vora collaborates with scholars based in United States, Italy and Canada. Suhani Vora's co-authors include George M. Church, Alejandro Chavez, Marcelle Tuttle, Benjamin W. Pruitt, Samira Kiani, James J. Collins, Ron Weiss, Dmitry Ter‐Ovanesyan, John Aach and Christopher D. Guzman and has published in prestigious journals such as Cell, PLoS ONE and Nature Methods.

In The Last Decade

Suhani Vora

6 papers receiving 1.7k 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.

Highly efficient Cas9-mediated transcriptional programming

2015 1.2k citations Alejandro Chavez, Jonathan Scheiman et al. Nature Methods profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Suhani Vora United States	5	1.6k	247	199	155	113	6	1.7k
Michael C. Bassik United States	2	1.8k 1.1×	286 1.2×	193 1.0×	128 0.8×	105 0.9×	2	1.9k
Pengpeng Liu China	25	1.4k 0.8×	281 1.1×	265 1.3×	211 1.4×	95 0.8×	53	1.6k
Quan Ho United States	6	1.4k 0.8×	266 1.1×	134 0.7×	105 0.7×	104 0.9×	6	1.6k
Marcelle Tuttle United States	6	2.1k 1.3×	358 1.4×	88 0.4×	209 1.3×	161 1.4×	13	2.2k
Christopher D. Guzman United States	5	1.6k 1.0×	312 1.3×	107 0.5×	142 0.9×	101 0.9×	5	1.8k
Yidi Sun China	18	1.5k 0.9×	433 1.8×	121 0.6×	67 0.4×	167 1.5×	39	1.7k
Elizabeth Frias Switzerland	4	1.1k 0.6×	265 1.1×	67 0.3×	102 0.7×	69 0.6×	5	1.2k
Samantha J Linder United States	6	1.5k 0.9×	301 1.2×	55 0.3×	112 0.7×	126 1.1×	6	1.5k
Xin D. Gao United States	12	1.3k 0.8×	275 1.1×	147 0.7×	39 0.3×	127 1.1×	18	1.4k
Ravi Alla United States	5	1.1k 0.7×	240 1.0×	57 0.3×	91 0.6×	94 0.8×	8	1.2k

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-authorship network of co-authors of Suhani Vora

This figure shows the co-authorship network connecting the top 25 collaborators of Suhani Vora. A scholar is included among the top collaborators of Suhani Vora 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 Suhani Vora. Suhani Vora 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:

6 of 6 papers shown

1.

Bester, Assaf C., Jonathan D. Lee, Alejandro Chavez, et al.. (2018). An Integrated Genome-wide CRISPRa Approach to Functionalize lncRNAs in Drug Resistance. Cell. 173(3). 649–664.e20. 237 indexed citations

2.

Olesen, Scott W., Suhani Vora, Stephen M. Techtmann, et al.. (2016). A Novel Analysis Method for Paired-Sample Microbial Ecology Experiments. PLoS ONE. 11(5). e0154804–e0154804. 7 indexed citations

3.

Vora, Suhani, Marcelle Tuttle, Jenny Cheng, & George M. Church. (2016). Next stop for the CRISPR revolution: RNA‐guided epigenetic regulators. FEBS Journal. 283(17). 3181–3193. 58 indexed citations

4.

Chavez, Alejandro, Marcelle Tuttle, Raj Chari, et al.. (2015). Cas9 gRNA engineering for genome editing, activation and repression. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations

5.

Kiani, Samira, Alejandro Chavez, Marcelle Tuttle, et al.. (2015). Cas9 gRNA engineering for genome editing, activation and repression. Nature Methods. 12(11). 1051–1054. 249 indexed citations

6.

Chavez, Alejandro, Jonathan Scheiman, Suhani Vora, et al.. (2015). Highly efficient Cas9-mediated transcriptional programming. Nature Methods. 12(4). 326–328. 1183 indexed citations breakdown →

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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