Kushal K. Dey

5.2k citations

30 papers · 1.3k indexed · h-index 18

Co-authors: Matthew Stephens Arunava Goswami Saheli Pradhan Prasun Patra Shouvik Mitra Alkes L. Price Karthik A. Jagadeesh P. Palit
Topics: Genetic Associations and Epidemiology (9 papers)Single-cell and spatial transcriptomics (8 papers)Bioinformatics and Genomic Networks (5 papers)
Cited by: Genetics Nuclear Energy and Engineering Molecular Biology
Journals: Nature Nature Communications Nature Genetics
Partner nations: United States India United Kingdom

In The Last Decade

Kushal K. Dey

28 papers receiving 1.3k citations

Peers

Countries citing papers authored by Kushal K. Dey

Since Specialization

Citations

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

Fields of papers citing papers by Kushal K. Dey

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kushal K. Dey. 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 Kushal K. Dey. The network helps show where Kushal K. Dey may publish in the future.

Co-authorship network of co-authors of Kushal K. Dey

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	Population-scale sequencing resolves determinants of persistent EBV DNA 2026 ·Nature ·(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),(unknown),Benjamin Hollis,(unknown),Stewart MacArthur,(unknown),(unknown),Kushal K. Dey,(unknown),Ryan S. Dhindsa,(unknown)	0
2	Linking regulatory variants to target genes by integrating single-cell multiome methods and genomic distance 2025 ·Nature Genetics ·(unknown),Karthik A. Jagadeesh,Kushal K. Dey,Alkes L. Price	2
3	Single-cell multi-ome regression models identify functional and disease-associated enhancers and enable chromatin potential analysis 2024 ·Nature Genetics ·(unknown),(unknown),(unknown),A. Rahman,Alexander J. Hartemink,Yuri Pritykin,Kushal K. Dey,Christina S. Leslie	16
4	Leveraging single-cell ATAC-seq and RNA-seq to identify disease-critical fetal and adult brain cell types 2024 ·Nature Communications ·Samuel S. Kim,Buu Truong,Karthik A. Jagadeesh,Kushal K. Dey,Amber Shen,Soumya Raychaudhuri,Manolis Kellis,Alkes L. Price	16
5	CRISPR screening uncovers a long-range enhancer for ONECUT1 in pancreatic differentiation and links a diabetes risk variant 2024 ·Cell Reports ·Samuel J. Kaplan,(unknown),Jielin Yan,Julián Pulecio,Hyunwoo Cho,(unknown),Jiahui Zhao,(unknown),(unknown),(unknown),Renhe Luo,Kushal K. Dey,Effie Apostolou,Christina S. Leslie,Danwei Huangfu	3
6	Polygenic architecture of rare coding variation across 394,783 exomes 2023 ·Nature ·Daniel J. Weiner,Ajay Nadig,Karthik A. Jagadeesh,Kushal K. Dey,Benjamin M. Neale,Elise Robinson,Konrad J. Karczewski,Luke J. O’Connor	68
7	Combining SNP-to-gene linking strategies to identify disease genes and assess disease omnigenicity 2022 ·Nature Genetics ·Steven Gazal,Omer Weissbrod,Farhad Hormozdiari,Kushal K. Dey,Joseph Nasser,Karthik A. Jagadeesh,Daniel J. Weiner,Huwenbo Shi,Charles P. Fulco,Luke J. O’Connor,Bogdan Paşaniuc,J Engreitz,Alkes L. Price	73
8	Polygenic enrichment distinguishes disease associations of individual cells in single-cell RNA-seq data 2022 ·Nature Genetics ·Martin Jinye Zhang,Kangcheng Hou,Kushal K. Dey,Saori Sakaue,Karthik A. Jagadeesh,Kathryn Weinand,Aris Taychameekiatchai,Poorvi Rao,Angela Oliveira Pisco,James Zou,Bruce Wang,Michael J. Gandal,Soumya Raychaudhuri,Bogdan Paşaniuc,Alkes L. Price	92
9	SAIGE-GENE+ improves the efficiency and accuracy of set-based rare variant association tests 2022 ·Nature Genetics ·Wei Zhou,Wenjian Bi,Zhangchen Zhao,Kushal K. Dey,Karthik A. Jagadeesh,Konrad J. Karczewski,Mark J. Daly,Benjamin M. Neale,Seunggeun Lee	51
10	SNP-to-gene linking strategies reveal contributions of enhancer-related and candidate master-regulator genes to autoimmune disease 2022 ·Cell Genomics ·Kushal K. Dey,Steven Gazal,Bryce van de Geijn,Samuel S. Kim,Joseph Nasser,J Engreitz,Alkes L. Price	14
11	Identifying disease-critical cell types and cellular processes by integrating single-cell RNA-sequencing and human genetics 2022 ·Nature Genetics ·Karthik A. Jagadeesh,Kushal K. Dey,Daniel T. Montoro,Rahul Mohan,Steven Gazal,J Engreitz,Ramnik J. Xavier,Alkes L. Price,Aviv Regev	99
12	Improving the informativeness of Mendelian disease-derived pathogenicity scores for common disease 2020 ·Nature Communications ·Samuel S. Kim,Kushal K. Dey,Omer Weissbrod,Carla Márquez‐Luna,Steven Gazal,Alkes L. Price	9
13	Improving the trans-ancestry portability of polygenic risk scores by prioritizing variants in predicted cell-type-specific regulatory elements 2020 ·Nature Genetics ·Tiffany Amariuta,Kazuyoshi Ishigaki,Hiroki Sugishita,Tazro Ohta,Masaru Koido,Kushal K. Dey,Koichi Matsuda,Yoshinori Murakami,Alkes L. Price,Eiryo Kawakami,Chikashi Terao,Soumya Raychaudhuri	100
14	Characterizing and inferring quantitative cell cycle phase in single-cell RNA-seq data analysis 2020 ·Genome Research ·Chiaowen Joyce Hsiao,Po‐Yuan Tung,John Blischak,Jonathan E. Burnett,Kenneth Barr,Kushal K. Dey,Matthew Stephens,Yoav Gilad	45
15	Regional influences on community structure across the tropical-temperate divide 2019 ·Nature Communications ·Alexander E. White,Kushal K. Dey,Dhananjai Mohan,Matthew Stephens,Trevor D. Price	36
16	Inference and visualization of DNA damage patterns using a grade of membership model 2018 ·Bioinformatics ·Hussein Al-Asadi,Kushal K. Dey,John Novembre,Matthew Stephens	4
17	A new sequence logo plot to highlight enrichment and depletion 2018 ·BMC Bioinformatics ·Kushal K. Dey,(unknown),Matthew Stephens	29
18	Visualizing the structure of RNA-seq expression data using grade of membership models 2017 ·PLoS Genetics ·Kushal K. Dey,Chiaowen Joyce Hsiao,Matthew Stephens	85
19	Microwave synthesis of ZnO@mSiO2 for detailed antifungal mode of action study: Understanding the insights into oxidative stress 2014 ·Journal of Colloid and Interface Science ·Shouvik Mitra,Prasun Patra,Saheli Pradhan,Nitai Debnath,Kushal K. Dey,(unknown),Dhrubajyoti Chattopadhyay,Arunava Goswami	27
20	Manganese Nanoparticles: Impact on Non-nodulated Plant as a Potent Enhancer in Nitrogen Metabolism and Toxicity Study both in Vivo and in Vitro 2014 ·Journal of Agricultural and Food Chemistry ·Saheli Pradhan,Prasun Patra,Shouvik Mitra,Kushal K. Dey,S. L. Jain,(unknown),Shuvrodeb Roy,P. Palit,Arunava Goswami	75

About Kushal K. Dey

Kushal K. Dey is a scholar working on Genetics, Molecular Biology and Ecological Modeling, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (9 papers), Single-cell and spatial transcriptomics (8 papers) and Bioinformatics and Genomic Networks (5 papers). The work is most often cited by research in Genetics (338 citations), Nuclear Energy and Engineering (4 citations) and Molecular Biology (568 citations). Kushal K. Dey has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Matthew Stephens, Arunava Goswami, Saheli Pradhan, Prasun Patra, Shouvik Mitra, Alkes L. Price, Karthik A. Jagadeesh, P. Palit, Chiaowen Joyce Hsiao and Sourov Chandra. Their work appears in journals such as Nature, Nature Communications and Nature Genetics.

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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