Suyash Shringarpure

49.1k total citations · 1 hit paper
23 papers, 854 citations indexed

About

Suyash Shringarpure is a scholar working on Genetics, Molecular Biology and Cancer Research. According to data from OpenAlex, Suyash Shringarpure has authored 23 papers receiving a total of 854 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Genetics, 8 papers in Molecular Biology and 2 papers in Cancer Research. Recurrent topics in Suyash Shringarpure's work include Genetic Associations and Epidemiology (11 papers), Genetic diversity and population structure (9 papers) and Genetic and phenotypic traits in livestock (8 papers). Suyash Shringarpure is often cited by papers focused on Genetic Associations and Epidemiology (11 papers), Genetic diversity and population structure (9 papers) and Genetic and phenotypic traits in livestock (8 papers). Suyash Shringarpure collaborates with scholars based in United States, United Kingdom and Canada. Suyash Shringarpure's co-authors include Carlos D. Bustamante, Eric P. Xing, Kenneth Lange, John Novembre, David H. Alexander, Kelly Harrington, Christopher R. Gignoux, Eimear E. Kenny, Murray B. Stein and Renato Polimanti and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Neuroscience and Bioinformatics.

In The Last Decade

Suyash Shringarpure

23 papers receiving 839 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.

Bi-ancestral depression GWAS in the Million Veteran Program and meta-analysis in >1.2 million individuals highlight new therapeutic directions

2021 215 citations Daniel F. Levey, Murray B. Stein et al. Nature Neuroscience profile →

Peers

Countries citing papers authored by Suyash Shringarpure

Since Specialization

Citations

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

Fields of papers citing papers by Suyash Shringarpure

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suyash Shringarpure

This figure shows the co-authorship network connecting the top 25 collaborators of Suyash Shringarpure. A scholar is included among the top collaborators of Suyash Shringarpure 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 Suyash Shringarpure. Suyash Shringarpure 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	First-in-Human Study of 23ME-00610, an Antagonistic Antibody for Genetically Validated CD200R1 Immune Checkpoint, in Participants with Advanced Solid Malignancies 2024 ·Cancer Research Communications ·Shivaani Kummar, Albiruni R. Abdul Razak, Scott A. Laurie, Dylan M. Glatt, (unknown), Anh N. Diep, (unknown), (unknown), Chris German, Suyash Shringarpure, (unknown), Drew Rasco	1
2	A Polygenic Score for Type 2 Diabetes Improves Risk Stratification Beyond Current Clinical Screening Factors in an Ancestrally Diverse Sample 2022 ·Frontiers in Genetics ·James R. Ashenhurst, Olga V. Sazonova, (unknown), (unknown), Ryosuke Kita, (unknown), Matthew H. McIntyre, Stella Aslibekyan, Pierre Fontanillas, Suyash Shringarpure, (unknown), Bertram L. Koelsch	11
3	Symptom-level modelling unravels the shared genetic architecture of anxiety and depression 2021 ·Nature Human Behaviour ·Jackson G. Thorp, Adrián I. Campos, Andrew D. Grotzinger, Zachary F. Gerring, Jiyuan An, Jue‐Sheng Ong, Wei Wang, Suyash Shringarpure, Enda M. Byrne, Stuart MacGregor, Nicholas G. Martin, Sarah E. Medland, Christel M. Middeldorp, Eske M. Derks	51
4	Bi-ancestral depression GWAS in the Million Veteran Program and meta-analysis in >1.2 million individuals highlight new therapeutic directions breakdown → 2021 ·Nature Neuroscience ·Daniel F. Levey, Murray B. Stein, Frank R. Wendt, Gita A. Pathak, Hang Zhou, Mihaela Aslan, Rachel Quaden, Kelly Harrington, Yaira Z. Nuñez, Cassie Overstreet, Krishnan Radhakrishnan, Gerard Sanacora, Andrew M. McIntosh, Jingchunzi Shi, Suyash Shringarpure, (unknown), John Concato, Renato Polimanti, Joel Gelernter	215
5	Fast and Robust Identity-by-Descent Inference with the Templated Positional Burrows–Wheeler Transform 2020 ·Molecular Biology and Evolution ·William A. Freyman, Kimberly F. McManus, Suyash Shringarpure, Ethan M. Jewett, Katarzyna Bryc, Adam Auton	19
6	Exploring Population Structure with Admixture Models and Principal Component Analysis 2020 ·Methods in molecular biology ·Chi‐Chun Liu, Suyash Shringarpure, Kenneth Lange, John Novembre	40
7	The inference of sex-biased human demography from whole-genome data 2019 ·PLoS Genetics ·Shaila Musharoff, Suyash Shringarpure, Carlos D. Bustamante, Sohini Ramachandran	7
8	Imputation-Aware Tag SNP Selection To Improve Power for Large-Scale, Multi-ethnic Association Studies 2018 ·G3 Genes Genomes Genetics ·Genevieve L. Wojcik, Christian Fuchsberger, Daniel Taliun, Ryan Welch, Alicia R. Martin, Suyash Shringarpure, Christopher S. Carlson, Gonçalo R. Abecasis, Hyun Min Kang, Michael Boehnke, Carlos D. Bustamante, Christopher R. Gignoux, Eimear E. Kenny	21
9	The Great Migration and African-American Genomic Diversity 2016 ·PLoS Genetics ·(unknown), (unknown), Christopher R. Gignoux, Suyash Shringarpure, (unknown), William J. Blot, Carlos D. Bustamante, Eimear E. Kenny, Scott M. Williams, Melinda C. Aldrich, Simon Gravel	107
10	Efficient analysis of large datasets and sex bias with ADMIXTURE 2016 ·BMC Bioinformatics ·Suyash Shringarpure, Carlos D. Bustamante, Kenneth Lange, David H. Alexander	34
11	Addressing Beacon re-identification attacks: quantification and mitigation of privacy risks 2016 ·Journal of the American Medical Informatics Association ·Jean Louis Raisaro, Florian Tramèr, Zhanglong Ji, Diyue Bu, Yongan Zhao, Knox Carey, David Lloyd, Heidi J. Sofia, Dixie B. Baker, Paul Flicek, Suyash Shringarpure, Carlos D. Bustamante, Shuang Wang, Xiaoqian Jiang, Lucila Ohno‐Machado, Haixu Tang, Xiaofeng Wang, Jean‐Pierre Hubaux	61
12	Using genotype array data to compare multi- and single-sample variant calls and improve variant call sets from deep coverage whole-genome sequencing data 2016 ·Bioinformatics ·Suyash Shringarpure, Rasika A. Mathias, Ryan D. Hernandez, Timothy D. O’Connor, Zachary A. Szpiech, Raúl Torres, Francisco M. De La Vega, Carlos D. Bustamante, Kathleen C. Barnes, Margaret A. Taub	3
13	Inexpensive and Highly Reproducible Cloud-Based Variant Calling of 2,535 Human Genomes 2015 ·PLoS ONE ·Suyash Shringarpure, Andrew Carroll, Francisco M. De La Vega, Carlos D. Bustamante	11
14	Privacy Risks from Genomic Data-Sharing Beacons 2015 ·The American Journal of Human Genetics ·Suyash Shringarpure, Carlos D. Bustamante	141
15	Statistical Methods for studying Genetic Variation in Populations 2012 ·Research Showcase @ Carnegie Mellon University (Carnegie Mellon University) ·Suyash Shringarpure	3
16	StructHDP: automatic inference of number of clusters and population structure from admixed genotype data 2011 ·Bioinformatics ·Suyash Shringarpure, (unknown), Eric P. Xing	7
17	Reconceptualizing the classification of PNAS articles 2010 ·Proceedings of the National Academy of Sciences ·Edoardo M. Airoldi, Elena A. Erosheva, Stephen E. Fienberg, (unknown), Tanzy Love, Suyash Shringarpure	17
18	mStruct: Inference of Population Structure in Light of Both Genetic Admixing and Allele Mutations 2009 ·Genetics ·Suyash Shringarpure, Eric P. Xing	20
19	CSMET: Comparative Genomic Motif Detection via Multi-Resolution Phylogenetic Shadowing 2008 ·PLoS Computational Biology ·Pradipta Ray, Suyash Shringarpure, Mladen Kolar, Eric P. Xing	12
20	mStruct 2008 ·Suyash Shringarpure, Eric P. Xing	3

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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