Jacob Matthew Schreiber

University of Massachusetts Chan Medical School

Also affiliated with Research Institute of Molecular Pathology, UMass Memorial Medical Center

Biochemistry, Genetics and Molecular Biology

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 1%percentile

8.1Author DataRank

Indexed papers

3in 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 3 indexed papers 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 →

The highest-impact dataset this researcher has shared, ranked by DataRank — the single contribution doing the most to lift their data-sharing standing.

GENCODE: reference annotation for the human and mouse genomes in 2023

Nucleic Acids Research(2022)10.1093/nar/gkac1071

Top 4%

5.1DataRank

Top 4%663 citations

Sílvia Carbonell Sala, Mark Diekhans, Irwin Jungreis, Jane E Loveland, Jonathan M. Mudge +57 more

Papers

Driven by 19 papers — median percentile 87. Top paper: “GENCODE: reference annotation for the human and mouse genomes in 2023”.

GENCODE: reference annotation for the human and mouse genomes in 2023

Nucleic Acids Research(2022)10.1093/nar/gkac1071

Top 4%

5.1DataRank

Top 4%663 citations

Sílvia Carbonell Sala, Mark Diekhans, Irwin Jungreis, Jane E Loveland, Jonathan M. Mudge +57 more

A pitfall for machine learning methods aiming to predict across cell types

Genome biology(2020)10.1186/s13059-020-02177-y

N/A

1.8DataRank · unranked

57 citations

Ritambhara Singh, Jeffrey A. Bilmes, William Stafford Noble, Jacob Matthew Schreiber

Completing the ENCODE3 compendium yields accurate imputations across a variety of assays and human biosamples

Genome biology(2020)10.1186/s13059-020-01978-5

Top 13%

1.6DataRank

Top 13%48 citations

Jeffrey A. Bilmes, William Stafford Noble, Jacob Matthew Schreiber

The EN-TEx resource of multi-tissue personal epigenomes & variant-impact models

Cell(2023)10.1016/j.cell.2023.02.018

Top 15%

1.4DataRank

Top 15%82 citations

Jiahao Gao, Beatrice Borsari, Yucheng T. Yang, Timur R. Galeev, Gamze Gürsoy +95 more

A High-Throughput Screen for Transcription Activation Domains Reveals Their Sequence Features and Permits Prediction by Deep Learning

Molecular Cell(2020)10.1016/j.molcel.2020.04.020

N/A

0.744DataRank · unranked

142 citations

Lukasz P. Kozlowski, Salma Sohrabi-Jahromi, James Fishburn, Linda Warfield, Jacob Matthew Schreiber +4 more

Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenome

Genome biology(2020)10.1186/s13059-020-01977-6

N/A

0.736DataRank · unranked

134 citations

Timothy Durham, Jeffrey A. Bilmes, William Stafford Noble, Jacob Matthew Schreiber

The ENCODE Imputation Challenge: a critical assessment of methods for cross-cell type imputation of epigenomic profiles

Genome Biology(2023)10.1186/s13059-023-02915-y

N/A

0.692DataRank · unranked

17 citations

Carles B. Adsera, Jin wook Lee, Hongyang Li, Yuanfang Guan, Chun-Chieh Chang +46 more

Deep learning the cis-regulatory code of chromatin dynamics during cellular reprogramming

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.10.04.560808

N/A

0.564DataRank · unranked

42 citations

Mohamed Ameen, Laksshman Sundaram, Anusri Pampari, Jacob Matthew Schreiber, Akshay Balsubramani +7 more

Dissecting the cis-regulatory syntax of transcription initiation with deep learning

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.05.28.596138

N/A

0.505DataRank · unranked

28 citations

Melody Yin, Anika Mantripragada, Jacob Matthew Schreiber, Georgi K. Marinov, Sagar Shah +4 more

Zero-shot imputations across species are enabled through joint modeling of human and mouse epigenomics

(2020)10.1145/3388440.3412412

N/A

0.292DataRank · unranked

6 citations

Deepthi Hegde, William Stafford Noble, Jacob Matthew Schreiber

Leveraging epigenomes and three-dimensional genome organization for interpreting regulatory variation

PLoS Computational Biology(2023)10.1371/journal.pcbi.1011286

N/A

0.253DataRank · unranked

4 citations

Junha Shin, Jacob Matthew Schreiber, Shilu Zhang, Yi Zhang, Mohith Manjunath +4 more

Leveraging epigenomes and three-dimensional genome organization for interpreting regulatory variation

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.08.29.458098

N/A

0.234DataRank · unranked

3 citations

Jacob Matthew Schreiber, Junha Shin, Shilu Zhang, Yi Zhang, Mohith Manjunath +4 more

Prioritizing transcriptomic and epigenomic experiments using an optimization strategy that leverages imputed data

Bioinformatics(2020)10.1093/bioinformatics/btaa830

N/A

0.208DataRank · unranked

3 citations

Jeffrey A. Bilmes, William Stafford Noble, Jacob Matthew Schreiber

The ENCODE Imputation Challenge: A critical assessment of methods for cross-cell type imputation of epigenomic profiles

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.07.30.502157

N/A

0.190DataRank · unranked

2 citations

Jin wook Lee, Hongyang Li, Yuanfang Guan, Chun-Chieh Chang, Jen-Chien Chang +40 more

Predictive design of tissue-specific mammalian enhancers that function in vivo in the mouse embryo

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.64898/2025.12.22.695948

N/A

0.104DataRank · unranked

1 citations

Vincent Loubiere, Ethan W. Hollingsworth, Sandra H. Jacinto, Atrin Dizehchi, Jacob Matthew Schreiber +3 more

Accelerating in silico saturation mutagenesis using compressed sensing

Bioinformatics(2022)10.1093/bioinformatics/btac385

N/A

0DataRank · unranked

12 citations

Surag Nair, Akshay Balsubramani, Anshul Kundaje, Jacob Matthew Schreiber

fastISM: performant in silico saturation mutagenesis for convolutional neural networks

Bioinformatics(2022)10.1093/bioinformatics/btac135

N/A

0DataRank · unranked

26 citations

Avanti Shrikumar, Jacob Matthew Schreiber, Anshul Kundaje, Surag Nair

Publisher Correction: The ENCODE Imputation Challenge: a critical assessment of methods for cross-cell type imputation of epigenomic profiles

Genome Biology(2025)10.1186/s13059-025-03494-w

N/A

0DataRank · unranked

0 citations

Carles B. Adsera, Jin wook Lee, Hongyang Li, Yuanfang Guan, Chun-Chieh Chang +45 more

Predicting chromatin conformation contact maps

PLoS ONE(2025)10.1371/journal.pone.0331124

N/A

0DataRank · unranked

0 citations

Jacob Matthew Schreiber, Anshul Kundaje, William Stafford Noble, Alan Min

Jacob Matthew Schreiber

Indexed papers

Top data-sharing exemplar

Papers