Ritambhara Singh

Biochemistry, Genetics and Molecular BiologyPharmacology, Toxicology and PharmaceuticsMedicine

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 4%percentile

0.925Author 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 →

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

Single-cell landscape of nuclear configuration and gene expression during stem cell differentiation and X inactivation

Genome biology(2021)10.1186/s13059-021-02432-w

Top 22%

0.925DataRank

Top 22%27 citations

Vijay Ramani, Ritambhara Singh, He Fang, Dana L. Jackson, Sanjay Srivatsan +9 more

Papers

Driven by 29 papers — median percentile 78. Top paper: “Private information leakage from single-cell count matrices”.

Private information leakage from single-cell count matrices

Cell(2024)10.1016/j.cell.2024.09.012

N/A

2.2DataRank · unranked

29 citations

Xiaoting Li, Manav Chakravarthy, William Lounsbery-Scaife, Yoolim A. Choi, Ritambhara Singh +2 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

Single-cell landscape of nuclear configuration and gene expression during stem cell differentiation and X inactivation

Genome biology(2021)10.1186/s13059-021-02432-w

Top 22%

0.925DataRank

Top 22%27 citations

Vijay Ramani, Ritambhara Singh, He Fang, Dana L. Jackson, Sanjay Srivatsan +9 more

TIMEOR: a web-based tool to uncover temporal regulatory mechanisms from multi-omics data

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.09.14.296418

N/A

0.292DataRank · unranked

6 citations

Nathaniel Goodman, Yanhui Hu, Norbert Perrimon, Ritambhara Singh, Charles E. Lawrence +2 more

Single-cell landscape of nuclear configuration and gene expression during stem cell differentiation and X inactivation

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.11.20.390765

N/A

0.241DataRank · unranked

4 citations

Vijay Ramani, Ritambhara Singh, He Fang, Dana L. Jackson, Sanjay Srivatsan +9 more

Unsupervised integration of single-cell multi-omics datasets with disparities in cell-type representation

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.11.09.467903

N/A

0DataRank · unranked

10 citations

Rebecca Santorella, Björn Sandstede, Ritambhara Singh, Pınar Demetçi

Predicting A/B compartments from histone modifications using deep learning

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.04.19.488754

N/A

0DataRank · unranked

12 citations

Nitya Thakkar, Hannah L. Harris, Megan Zhang, Susanna Liu, Mark Gerstein +6 more

Jointly aligning cells and genomic features of single-cell multi-omics data with co-optimal transport

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.11.09.515883

N/A

0DataRank · unranked

5 citations

Quang Huy Tran, Ievgen Redko, Ritambhara Singh, Pınar Demetçi

GrapHiC: An integrative graph based approach for imputing missing Hi-C reads

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.10.19.512942

N/A

0DataRank · unranked

1 citations

Justin Wagner, Justin M. Zook, Ritambhara Singh, Ghulam Murtaza

CellBiAge: Improved single-cell age classification using data binarization

Cell Reports(2023)10.1016/j.celrep.2023.113500

N/A

0DataRank · unranked

17 citations

Manlin Li, Guanjie Linghu, Yihuan Hu, Kaitlyn H. Hajdarovic, An Wang +3 more

A Comprehensive Evaluation of Generalizability of Deep Learning-Based Hi-C Resolution Improvement Methods

Genes(2023)10.3390/genes15010054

N/A

0DataRank · unranked

5 citations

Atishay Jain, Madeline Hughes, Justin Wagner, Ritambhara Singh, Ghulam Murtaza

Investigating the Complexity of Gene Co-expression Estimation for Single-cell Data

bioRxiv (Cold Spring Harbor Laboratory)(2023)10.1101/2023.01.24.525447

N/A

0DataRank · unranked

1 citations

Ritambhara Singh, Jiaqi Zhang

Gromov-Wasserstein optimal transport to align single-cell multi-omics data

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.04.28.066787

N/A

0DataRank · unranked

66 citations

Rebecca Santorella, Björn Sandstede, William Stafford Noble, Ritambhara Singh, Pınar Demetçi

scNODE : generative model for temporal single cell transcriptomic data prediction

Bioinformatics(2024)10.1093/bioinformatics/btae393

N/A

0DataRank · unranked

23 citations

Erica Larschan, Jeremy Bigness, Ritambhara Singh, Jiaqi Zhang

Predicting A/B compartments from histone modifications using deep learning

iScience(2024)10.1016/j.isci.2024.109570

N/A

0DataRank · unranked

12 citations

Nitya Thakkar, Hannah L. Harris, Susanna Liu, Megan Zhang, Mark Gerstein +6 more

Single-cell genomics of the mouse olfactory cortex reveals contrasts with neocortex and ancestral signatures of cell type evolution

Nature Neuroscience(2025)10.1038/s41593-025-01924-3

N/A

0DataRank · unranked

7 citations

Alonso Ortega Gurrola, Pınar Demetçi, David H. Brann, Tuan Minh Pham, Robin Attey +8 more

scGrapHiC: deep learning-based graph deconvolution for Hi-C using single cell gene expression

Bioinformatics(2024)10.1093/bioinformatics/btae223

N/A

0DataRank · unranked

5 citations

Byron Butaney, Justin Wagner, Ritambhara Singh, Ghulam Murtaza

An snRNA-seq aging clock for the fruit fly head sheds light on sex-biased aging

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.11.25.625273

N/A

0DataRank · unranked

2 citations

Ananya G Pavuluri, Gunjan Singh, Kaitlyn Cortez, Kate O’Connor-Giles, Erica Larschan +2 more

Machine learning on multiple epigenetic features reveals H3K27Ac as a driver of gene expression prediction across patients with glioblastoma

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.06.25.600585

N/A

0DataRank · unranked

1 citations

Hardy Bright, Yuan Pu, Merih Deniz Toruner, Jordan Idehen, Nikos Tapinos +2 more

Optimal transport reveals dynamic gene regulatory networks via gene velocity estimation

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.09.12.612590

N/A

0DataRank · unranked

1 citations

Erica Larschan, Björn Sandstede, Ritambhara Singh, Wenjun Zhao

scMultiNODE: Integrative and Scalable Framework for Multi-Modal Temporal Single-Cell Data

bioRxiv (Cold Spring Harbor Laboratory)(2024)10.1101/2024.10.27.620531

N/A

0DataRank · unranked

0 citations

Manav Chakravarthy, Ritambhara Singh, Jiaqi Zhang

Machine learning on multiple epigenetic features reveals H3K27Ac as a driver of gene expression prediction across patients with glioblastoma

PLoS Computational Biology(2025)10.1371/journal.pcbi.1012272

N/A

0DataRank · unranked

3 citations

Hardy Bright, 円杉浦, Merih Deniz Toruner, Jordan Idehen, Nikos Tapinos +2 more

SCOT+: A Comprehensive Software Suite for Single-Cell alignment Using Optimal Transport

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.05.21.655322

N/A

0DataRank · unranked

1 citations

Tuan Minh Pham, Pınar Demetçi, Quang Huy Tran, Ievgen Redko, Björn Sandstede +2 more

Widespread sex-biased gene expression reflects female-biased longevity in a species with environmental sex determination

bioRxiv (Cold Spring Harbor Laboratory)(2025)10.1101/2025.11.26.690843

N/A

0DataRank · unranked

0 citations

Luke A. Hoekstra, Kelsi Hagerty, Robert E. Schmidt, Jessica Martin Judson, Maxwell Adorsoo +4 more

SCOT+: a comprehensive software suite for single-cell alignment using optimal transport

Bioinformatics Advances(2025)10.1093/bioadv/vbaf314

N/A

0DataRank · unranked

0 citations

Tuan Minh Pham, Pınar Demetçi, Quang Huy Tran, Ievgen Redko, Björn Sandstede +2 more

Improved Spatial Transcriptomics Clustering with Nested Graph Neural Networks

(2025)10.1145/3765612.3767241

N/A

0DataRank · unranked

0 citations

David H. Laidlaw, Ying Ma, Ritambhara Singh, Atishay Jain

scMultiNODE: Integrative and Scalable Framework for Multi-Modal Temporal Single-Cell Data

(2025)10.1145/3765612.3767762

N/A

0DataRank · unranked

0 citations

Manav Chakravarthy, Ritambhara Singh, Jiaqi Zhang

Integrating long-range regulatory interactions to predict gene expression using graph convolutional networks

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.11.23.394478

N/A

0DataRank · unranked

4 citations

Xavier Loinaz, Shalin S. Patel, Erica Larschan, Ritambhara Singh, Jeremy Bigness

TIMEOR: a web-based tool to uncover temporal regulatory mechanisms from multi-omics data

Nucleic Acids Research(2021)10.1093/nar/gkab384

N/A

0DataRank · unranked

30 citations

Nathaniel Goodman, Yanhui Hu, Norbert Perrimon, Ritambhara Singh, Charles E. Lawrence +2 more

Ritambhara Singh

Indexed papers

Top data-sharing exemplar

Papers