🏆 Finalist — NIH Data Sharing Index (“S-Index”) Challenge

Akshay Balsubramani

ORCID: 0000-0003-1545-9837
Biochemistry, Genetics and Molecular BiologyComputer ScienceMathematics

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
5.6Author 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 →

Top data-sharing exemplar

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

The Human Tumor Atlas Network: Charting Tumor Transitions across Space and Time at Single-Cell Resolution

Cell(2020)10.1016/j.cell.2020.03.053
Top 4%
5.6DataRank
Top 4%609 citations

Aviv Regev, Philipp Oberdoerffer, Tal Nawy, Anna Hupalowska, Jennifer E. Rood +92 more

Papers

Driven by 7 papers — median percentile 96. Top paper: “The Human Tumor Atlas Network: Charting Tumor Transitions across Space and Time at Single-Cell Resolution”.

The Human Tumor Atlas Network: Charting Tumor Transitions across Space and Time at Single-Cell Resolution

Cell(2020)10.1016/j.cell.2020.03.053
Top 4%
5.6DataRank
Top 4%609 citations

Aviv Regev, Philipp Oberdoerffer, Tal Nawy, Anna Hupalowska, Jennifer E. Rood +92 more

Integrative single-cell analysis of cardiogenesis identifies developmental trajectories and non-coding mutations in congenital heart disease

Cell(2022)10.1016/j.cell.2022.11.028
N/A
0.702DataRank · unranked
107 citations

Laksshman Sundaram, Mengcheng Shen, Abhimanyu Banerjee, Soumya Kundu, Surag Nair +15 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

Multiomic profiling reveals that prostaglandin E2 reverses aged muscle stem cell dysfunction, leading to increased regeneration and strength

Cell stem cell(2025)10.1016/j.stem.2025.05.012
N/A
0.499DataRank · unranked
26 citations

Adelaida R. Palla, Andrew Tri Van Ho, Daniel C.L. Robinson, Meenakshi Ravichandran, Glenn J. Markov +14 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

Domain adaptive neural networks improve cross-species prediction of transcription factor binding

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.02.13.431115
N/A
0DataRank · unranked
7 citations

Divyanshi Srivastava, Avanti Shrikumar, Akshay Balsubramani, Ross C. Hardison, Anshul Kundaje +2 more

Domain-adaptive neural networks improve cross-species prediction of transcription factor binding

Genome Research(2022)10.1101/gr.275394.121
N/A
0DataRank · unranked
45 citations

Divyanshi Srivastava, Avanti Shrikumar, Akshay Balsubramani, Ross C. Hardison, Anshul Kundaje +2 more