Diptavo Dutta

1.0k total citations · 1 hit paper
17 papers, 291 citations indexed

About

Diptavo Dutta is a scholar working on Genetics, Molecular Biology and Rheumatology. According to data from OpenAlex, Diptavo Dutta has authored 17 papers receiving a total of 291 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 7 papers in Molecular Biology and 2 papers in Rheumatology. Recurrent topics in Diptavo Dutta's work include Genetic Associations and Epidemiology (10 papers), Bioinformatics and Genomic Networks (4 papers) and Gene expression and cancer classification (4 papers). Diptavo Dutta is often cited by papers focused on Genetic Associations and Epidemiology (10 papers), Bioinformatics and Genomic Networks (4 papers) and Gene expression and cancer classification (4 papers). Diptavo Dutta collaborates with scholars based in United States, India and Germany. Diptavo Dutta's co-authors include Nilanjan Chatterjee, Josef Coresh, Morgan E. Grams, Pascal Schlosser, Anna Köttgen, Eric Boerwinkle, Adrienne Tin, Jingning Zhang, Seunggeun Lee and Bing Yu and has published in prestigious journals such as Nature Communications, Nature Genetics and PLoS ONE.

In The Last Decade

Diptavo Dutta

14 papers receiving 287 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.

Plasma proteome analyses in individuals of European and African ancestry identify cis-pQTLs and models for proteome-wide association studies

2022 152 citations Jingning Zhang, Diptavo Dutta et al. Nature Genetics profile →

Peers

Countries citing papers authored by Diptavo Dutta

Since Specialization

Citations

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

Fields of papers citing papers by Diptavo Dutta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diptavo Dutta

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

17 of 17 papers shown

#	Work	Indexed citations
1	A genome-wide association study of buccal mucosa cancer in India and multi-ancestry meta-analysis discovers risk loci and gene-environment interactions 2025 ·EBioMedicine ·Sharayu Mhatre, Diptavo Dutta, Anand Iyer, (unknown), Aseem Mishra, Manigreeva Krishnatreya, (unknown), (unknown), (unknown), Ziqiao Wang, (unknown), Pankaj Chaturvedi, Preetha Rajaraman, Cheng‐Ping Wang, Anil K. Chaturvedi, Siddhartha Kar, Rajesh Dikshit, Nilanjan Chatterjee	0
2	Expanding scope of genetic studies in the era of biobanks 2025 ·Human Molecular Genetics ·Diptavo Dutta, (unknown)	0
3	Identifying genes associated with disease outcomes using joint sparse canonical correlation analysis—An application in renal clear cell carcinoma 2024 ·Genetic Epidemiology ·Diptavo Dutta, Ananda Sen, Jaya M. Satagopan	1
4	Genome-wide large-scale multi-trait analysis characterizes global patterns of pleiotropy and unique trait-specific variants 2024 ·Nature Communications ·Guanghao Qi, Surya B. Chhetri, Debashree Ray, Diptavo Dutta, Alexis Battle, Samsiddhi Bhattacharjee, Nilanjan Chatterjee	3
5	Subset-based method for cross-tissue transcriptome-wide association studies improves power and interpretability 2024 ·Human Genetics and Genomics Advances ·(unknown), Nilanjan Chatterjee, Diptavo Dutta	0
6	A linear adjustment-based approach to posterior drift in transfer learning 2023 ·Biometrika ·(unknown), Diptavo Dutta, Jonathan Terhorst, Yuekai Sun, Moulinath Banerjee	3
7	Aggregative trans-eQTL analysis detects trait-specific target gene sets in whole blood 2022 ·Nature Communications ·Diptavo Dutta, Yuan He, Ashis Saha, Marios Arvanitis, Alexis Battle, Nilanjan Chatterjee	12
8	Plasma proteome analyses in individuals of European and African ancestry identify cis-pQTLs and models for proteome-wide association studies breakdown → 2022 ·Nature Genetics ·Jingning Zhang, Diptavo Dutta, Anna Köttgen, Adrienne Tin, Pascal Schlosser, Morgan E. Grams, (unknown), Bing Yu, Eric Boerwinkle, Josef Coresh, Nilanjan Chatterjee	152
9	Sparse canonical correlation to identify breast cancer related genes regulated by copy number aberrations 2022 ·PLoS ONE ·Diptavo Dutta, Ananda Sen, (unknown)	5
10	Rare Genetic Variants Associated With Myocardial Fibrosis: Multi-Ethnic Study of Atherosclerosis 2022 ·Frontiers in Cardiovascular Medicine ·Mahsima Shabani, Diptavo Dutta, Bharath Ambale‐Venkatesh, Wendy S. Post, Kent D. Taylor, Stephen S. Rich, Colin O. Wu, Naveen L. Pereira, Sanjiv J. Shah, Nilanjan Chatterjee, Jerome I. Rotter, Dan E. Arking, João A.C. Lima	7
11	Genome‐wide association studies of 27 accelerometry‐derived physical activity measurements identified novel loci and genetic mechanisms 2022 ·Genetic Epidemiology ·Guanghao Qi, Diptavo Dutta, Andrew Leroux, Debashree Ray, John Muschelli, Ciprian M. Crainiceanu, Nilanjan Chatterjee	17
12	Identification of 969 protein quantitative trait loci in an African American population with kidney disease attributed to hypertension 2022 ·Kidney International ·Aditya Surapaneni, Pascal Schlosser, Linda Zhou, (unknown), Nilanjan Chatterjee, Dan E. Arking, Diptavo Dutta, Josef Coresh, Eugene P. Rhee, Morgan E. Grams	11
13	A powerful subset-based method identifies gene set associations and improves interpretation in UK Biobank 2021 ·The American Journal of Human Genetics ·Diptavo Dutta, Peter VandeHaar, Lars G. Fritsche, Sebastian Zöllner, Michael Boehnke, Laura J. Scott, Seunggeun Lee	9
14	Genome-Wide Association Study of Pelvic Organ Prolapse Using the Michigan Genomics Initiative 2021 ·Female Pelvic Medicine & Reconstructive Surgery ·(unknown), Anita Pandit, Matthew Zawistowski, Diptavo Dutta, Goutham Narla, Carolyn W. Swenson	4
15	Heritability of the Fibromyalgia Phenotype Varies by Age 2019 ·Arthritis & Rheumatology ·Diptavo Dutta, Chad M. Brummett, Stephanie E. Moser, Lars G. Fritsche, Alexander Tsodikov, Seunggeun Lee, Daniel J. Clauw, Laura J. Scott	22
16	Meta‐MultiSKAT: Multiple phenotype meta‐analysis for region‐based association test 2019 ·Genetic Epidemiology ·Diptavo Dutta, Sarah A. Gagliano Taliun, Joshua Weinstock, Matthew Zawistowski, Carlo Sidore, Lars G. Fritsche, Francesco Cucca, David Schlessinger, Gonçalo R. Abecasis, Chad M. Brummett, Seunggeun Lee	9
17	Multi‐SKAT: General framework to test for rare‐variant association with multiple phenotypes 2018 ·Genetic Epidemiology ·Diptavo Dutta, Laura J. Scott, Michael Boehnke, Seunggeun Lee	36

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.

Explore authors with similar magnitude of impact