Hirak Sarkar

Biochemistry, Genetics and Molecular BiologyMedicine

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

1in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Why this DataRank?

An author's DataRank is the sum of the DataRanks of all 1 indexed paper attributed to them. A prolific author with many moderate-impact papers can outrank one with a single high-impact paper.

Author scores recompute whenever paper DataRanks are refreshed, so this number lags the underlying paper scores by at most one batch run.

Read the full methodology →

Papers

Driven by 18 papers. Top paper: “Dissecting the immune suppressive human prostate tumor microenvironment via integrated single-cell and spatial transcriptomic analyses”.

Dissecting the immune suppressive human prostate tumor microenvironment via integrated single-cell and spatial transcriptomic analyses

Nature Communications(2023)10.1038/s41467-023-36325-2

N/A

5.9DataRank · unranked

257 citations

Shenglin Mei, Hirak Sarkar, Youmna Kfoury, Shulin Wu, Bronte Manouk Verhoeven +15 more

Haplotype-aware analysis of somatic copy number variations from single-cell transcriptomes

Nature Biotechnology(2022)10.1038/s41587-022-01468-y

N/A

3.6DataRank · unranked

171 citations

Ruslan Soldatov, Hirak Sarkar, Adam Kurkiewicz, Evan Biederstedt, Po‐Ru Loh +2 more

Epigenetic regulation during cancer transitions across 11 tumour types

Nature(2023)10.1038/s41586-023-06682-5

N/A

0.803DataRank · unranked

211 citations

Alla Y. Karpova, Wen-Wei Liang, Alexander Strzalkowski, Siqi Chen, Yize Li +39 more

Defining and benchmarking open problems in single-cell analysis

Research Square(2024)10.21203/rs.3.rs-4181617/v1

N/A

0.603DataRank · unranked

17 citations

Scott Gigante, Daniel B. Burkhardt, Robrecht Cannoodt, Daniel Strobl, Nikolay S. Markov +45 more

Tumors hijack macrophages for iron supply to promote bone metastasis and anemia

Cell(2025)10.1016/j.cell.2025.08.013

N/A

0.457DataRank · unranked

20 citations

Hirak Sarkar, Zhan Xu, Sereno Lopez-Darwin, Yongyue Wei, Xiang Hang +10 more

Compression of quantification uncertainty for scRNA-seq counts

Bioinformatics(2021)10.1093/bioinformatics/btab001

N/A

0.312DataRank · unranked

7 citations

Hirak Sarkar, Avi Srivastava, Naim U. Rashid, Rob Patro, Michael I. Love +1 more

Integrated single-cell and spatial transcriptomic analyses unravel the heterogeneity of the prostate tumor microenvironment

Research Square(2022)10.21203/rs.3.rs-1489967/v1

N/A

0.165DataRank · unranked

2 citations

Shenglin Mei, Hirak Sarkar, Youmna Kfoury, Shulin Wu, Bronte Manouk Verhoeven +15 more

Compression of quantification uncertainty for scRNA-seq counts

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.07.06.189639

N/A

0.165DataRank · unranked

2 citations

Hirak Sarkar, Avi Srivastava, Naim U. Rashid, Rob Patro, Michael I. Love +1 more

Integrated single-cell and spatial transcriptomic analyses unravel the heterogeneity of the prostate tumor microenvironment

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.03.18.484781

N/A

0.104DataRank · unranked

1 citations

Shenglin Mei, Hirak Sarkar, Youmna Kfoury, Shulin Wu, Bronte Manouk Verhoeven +15 more

A Bayesian framework for inter-cellular information sharing improves dscRNA-seq quantification

Bioinformatics(2020)10.1093/bioinformatics/btaa450

N/A

0DataRank · unranked

27 citations

Laraib Malik, Hirak Sarkar, Rob Patro, Avi Srivastava

Airpart : Interpretable statistical models for analyzing allelic imbalance in single-cell datasets

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.10.15.464546

N/A

0DataRank · unranked

1 citations

Hirak Sarkar, Avi Srivastava, Kwangbom Choi, Rob Patro, Michael I. Love +1 more

DifferentialRegulation : a Bayesian hierarchical approach to identify differentially regulated genes

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.08.17.553679

N/A

0DataRank · unranked

0 citations

Joël Meili, Peiying Cai, Charlotte Soneson, Dongze He, Hirak Sarkar +4 more

DifferentialRegulation : a Bayesian hierarchical approach to identify differentially regulated genes

Biostatistics(2024)10.1093/biostatistics/kxae017

N/A

0DataRank · unranked

1 citations

Joël Meili, Peiying Cai, Charlotte Soneson, Dongze He, Hirak Sarkar +4 more

Alevin-fry unlocks rapid, accurate, and memory-frugal quantification of single-cell RNA-seq data

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.06.29.450377

N/A

0DataRank · unranked

13 citations

Mohsen Zakeri, Hirak Sarkar, Charlotte Soneson, Avi Srivastava, Rob Patro +1 more

A Bayesian framework for inter-cellular information sharing improves dscRNA-seq quantification

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.04.10.035899

N/A

0DataRank · unranked

2 citations

Laraib Malik, Hirak Sarkar, Rob Patro, Avi Srivastava

Niche Macrophages Recycle Iron to Tumor Cells and Foster Erythroblast Mimicry to Promote Bone Metastasis and Anemia

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.04.23.650120

N/A

0DataRank · unranked

5 citations

Hirak Sarkar, Zhan Xu, Sereno Lopez-Darwin, Yong Wei, Hang Xiang +10 more

Airpart: interpretable statistical models for analyzing allelic imbalance in single-cell datasets

Bioinformatics(2022)10.1093/bioinformatics/btac212

N/A

0DataRank · unranked

24 citations

Hirak Sarkar, Avi Srivastava, Kwangbom Choi, Rob Patro, Michael I. Love +1 more

Terminus enables the discovery of data-driven, robust transcript groups from RNA-seq data

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.04.07.029967

N/A

0DataRank · unranked

3 citations

Avi Srivastava, Héctor Corrada Bravo, Michael I. Love, Rob Patro, Hirak Sarkar