Vikas Bansal

6.8k total citations · 1 hit paper
45 papers, 2.6k citations indexed

About

Vikas Bansal is a scholar working on Molecular Biology, Genetics and Surgery. According to data from OpenAlex, Vikas Bansal has authored 45 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 25 papers in Genetics and 5 papers in Surgery. Recurrent topics in Vikas Bansal's work include Genomics and Phylogenetic Studies (20 papers), Genomics and Rare Diseases (14 papers) and Genomic variations and chromosomal abnormalities (11 papers). Vikas Bansal is often cited by papers focused on Genomics and Phylogenetic Studies (20 papers), Genomics and Rare Diseases (14 papers) and Genomic variations and chromosomal abnormalities (11 papers). Vikas Bansal collaborates with scholars based in United States, Germany and Singapore. Vikas Bansal's co-authors include Vineet Bafna, Nicholas J. Schork, Peter Edge, Ali Torkamani, Ondrej Libiger, Eric J. Topol, Ryan Tewhey, Tariq M. Rana, Gianluigi Lichinchi and Yogesh Saletore 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

Vikas Bansal

44 papers receiving 2.6k 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.

Dynamics of the human and viral m6A RNA methylomes during HIV-1 infection of T cells

2016 368 citations Gianluigi Lichinchi, Vikas Bansal et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vikas Bansal United States	24	1.8k	1.3k	387	343	123	45	2.6k
Michael E. Zwick United States	24	1.7k 0.9×	1.2k 1.0×	300 0.8×	131 0.4×	119 1.0×	70	2.7k
James Prendergast United Kingdom	21	1.1k 0.6×	754 0.6×	133 0.3×	185 0.5×	100 0.8×	59	2.0k
Ian Sudbery United Kingdom	21	2.7k 1.5×	535 0.4×	379 1.0×	677 2.0×	95 0.8×	31	3.7k
Pedro Madrigal United Kingdom	17	2.4k 1.3×	333 0.3×	702 1.8×	520 1.5×	250 2.0×	29	3.3k
Gregory E. Sims United States	11	1.9k 1.0×	985 0.8×	248 0.6×	213 0.6×	97 0.8×	12	2.9k
Karyn Meltz Steinberg United States	17	1.3k 0.7×	826 0.7×	341 0.9×	262 0.8×	41 0.3×	22	2.1k
Haiming Tang United States	9	1.2k 0.7×	405 0.3×	187 0.5×	250 0.7×	87 0.7×	31	2.0k
Matthew Loose United Kingdom	23	1.6k 0.9×	420 0.3×	205 0.5×	156 0.5×	110 0.9×	62	2.2k
Ankit Gupta India	23	1.8k 1.0×	305 0.2×	198 0.5×	202 0.6×	105 0.9×	61	2.4k
Yuefen Du United States	7	1.3k 0.7×	631 0.5×	226 0.6×	299 0.9×	77 0.6×	7	2.0k

Countries citing papers authored by Vikas Bansal

Since Specialization

Citations

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

Fields of papers citing papers by Vikas Bansal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vikas Bansal

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

20 of 20 papers shown

Tripathi, Sandeep, Vicki Montgomery, Rahul Kashyap, et al.. (2025). Prevalence of Sepsis as Defined by Phoenix Sepsis Definition Among Children With COVID-19. Hospital Pediatrics. 15(7). 554–562.

Adamson, Aaron W., Yuan-Chun Ding, Mehrdad Bakhtiari, et al.. (2025). Analysis of targeted and whole genome sequencing of PacBio HiFi reads for a comprehensive genotyping of gene-proximal and phenotype-associated Variable Number Tandem Repeats. PLoS Computational Biology. 21(4). e1012885–e1012885. 2 indexed citations

Boehm, Bernhard O., Wolfgang Kratzer, & Vikas Bansal. (2022). Whole-genome sequencing of multiple related individuals with type 2 diabetes reveals an atypical likely pathogenic mutation in the PAX6 gene. European Journal of Human Genetics. 31(1). 89–96. 2 indexed citations

Pattan, Vishwanath, et al.. (2021). Genomics in medicine: A new era in medicine. World Journal of Methodology. 11(5). 231–242. 6 indexed citations

Bansal, Vikas, et al.. (2020). Sensitive alignment using paralogous sequence variants improves long-read mapping and variant calling in segmental duplications. Nucleic Acids Research. 48(19). e114–e114. 10 indexed citations

Bakhtiari, Mehrdad, Sharona Shleizer-Burko, Melissa Gymrek, Vikas Bansal, & Vineet Bafna. (2018). Targeted genotyping of variable number tandem repeats with adVNTR. Genome Research. 28(11). 1709–1719. 50 indexed citations

Bansal, Vikas, Bernhard O. Boehm, & Ariel Darvasi. (2018). Identification of a missense variant in the WFS1 gene that causes a mild form of Wolfram syndrome and is associated with risk for type 2 diabetes in Ashkenazi Jewish individuals. Diabetologia. 61(10). 2180–2188. 39 indexed citations

Edge, Peter, Ho Suk Lee, Vikas Bansal, et al.. (2017). Ultraaccurate genome sequencing and haplotyping of single human cells. Proceedings of the National Academy of Sciences. 114(47). 12512–12517. 35 indexed citations

Tiwari, Shashi Kant, Jason Dang, Yue Qin, et al.. (2017). Zika virus infection reprograms global transcription of host cells to allow sustained infection. Emerging Microbes & Infections. 6(1). 1–10. 57 indexed citations

10.

Bansal, Vikas, Johann Gassenhuber, Tierney Phillips, et al.. (2017). Spectrum of mutations in monogenic diabetes genes identified from high-throughput DNA sequencing of 6888 individuals. BMC Medicine. 15(1). 213–213. 66 indexed citations

11.

Edge, Peter, Vineet Bafna, & Vikas Bansal. (2016). HapCUT2: robust and accurate haplotype assembly for diverse sequencing technologies. Genome Research. 27(5). 801–812. 191 indexed citations

12.

Selvaraj, Siddarth, Jesse R. Dixon, Vikas Bansal, & Bing Ren. (2013). Whole-genome haplotype reconstruction using proximity-ligation and shotgun sequencing. Nature Biotechnology. 31(12). 1111–1118. 178 indexed citations

13.

Tewhey, Ryan, Vikas Bansal, Ali Torkamani, Eric J. Topol, & Nicholas J. Schork. (2011). The importance of phase information for human genomics. Nature Reviews Genetics. 12(3). 215–223. 182 indexed citations

14.

Bansal, Vikas, Olivier Harismendy, Ryan Tewhey, et al.. (2010). Accurate detection and genotyping of SNPs utilizing population sequencing data. Genome Research. 20(4). 537–545. 85 indexed citations

15.

Bhatia, Gaurav, Vikas Bansal, Olivier Harismendy, et al.. (2010). A Covering Method for Detecting Genetic Associations between Rare Variants and Common Phenotypes. PLoS Computational Biology. 6(10). e1000954–e1000954. 71 indexed citations

16.

Harismendy, Olivier, Vikas Bansal, Gaurav Bhatia, et al.. (2010). Population sequencing of two endocannabinoid metabolic genes identifies rare and common regulatory variants associated with extreme obesity and metabolite level. Genome biology. 11(11). R118–R118. 25 indexed citations

17.

Bashir, Ali, Vikas Bansal, & Vineet Bafna. (2010). Designing deep sequencing experiments: detecting structural variation and estimating transcript abundance. BMC Genomics. 11(1). 385–385. 18 indexed citations

18.

Bansal, Vikas, Ondrej Libiger, Ali Torkamani, & Nicholas J. Schork. (2010). Statistical analysis strategies for association studies involving rare variants. Nature Reviews Genetics. 11(11). 773–785. 324 indexed citations

19.

Bansal, Vikas, et al.. (2008). An MCMC algorithm for haplotype assembly from whole-genome sequence data. Genome Research. 18(8). 1336–1346. 81 indexed citations

20.

Bansal, Vikas, Ali Bashir, & Vineet Bafna. (2006). Evidence for large inversion polymorphisms in the human genome from HapMap data. Genome Research. 17(2). 219–230. 61 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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