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

Arvind Ramanathan

Argonne National Laboratory

ORCID: 0000-0002-1622-5488

Also affiliated with University of Chicago, Molecular Biology Consortium

Biochemistry, Genetics and Molecular BiologyComputer ScienceMaterials Science

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 3%percentile
1.3Author DataRank

Indexed papers

2in 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 2 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 →

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.

BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets

Nature Methods(2023)10.1038/s41592-023-01848-5
Top 21%
0.988DataRank
Top 21%55 citations

Zhi Zhou, Hanbo Chen, Arvind Ramanathan, Xiaoxiao Liu, Yufeng Liu +60 more

Papers

Driven by 17 papers — median percentile 61. Top paper: “BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets”.

BigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets

Nature Methods(2023)10.1038/s41592-023-01848-5
Top 21%
0.988DataRank
Top 21%55 citations

Zhi Zhou, Hanbo Chen, Arvind Ramanathan, Xiaoxiao Liu, Yufeng Liu +60 more

BigNeuron : A resource to benchmark and predict best-performing algorithms for automated reconstruction of neuronal morphology

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.05.10.491406
Top 57%
0.279DataRank
Top 57%4 citations

Zhi Zhou, Hanbo Chen, Arvind Ramanathan, Xiaoxiao Liu, Yufeng Liu +60 more

AI-Driven Multiscale Simulations Illuminate Mechanisms of SARS-CoV-2 Spike Dynamics

bioRxiv (Cold Spring Harbor Laboratory)(2020)10.1101/2020.11.19.390187
N/A
0DataRank · unranked
46 citations

Abigail C. Dommer, Zied Gaieb, Emília P. Barros, Terra Sztain, Surl-Hee Ahn +23 more

Structural, Electronic, and Electrostatic Determinants for Inhibitor Binding to Subsites S1 and S2 in SARS-CoV-2 Main Protease

Journal of Medicinal Chemistry(2021)10.1021/acs.jmedchem.1c01475
N/A
0DataRank · unranked
60 citations

Hui Li, Stephanie Galanie, G.N. Phillips, Audrey Labbé, Kevin L. Weiss +12 more

#COVIDisAirborne: AI-Enabled Multiscale Computational Microscopy of Delta SARS-CoV-2 in a Respiratory Aerosol

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.11.12.468428
N/A
0DataRank · unranked
28 citations

Lorenzo Casalino, Fiona L. Kearns, Mia A. Rosenfeld, Nicholas Wauer, Surl-Hee Ahn +47 more

Intelligent Resolution: Integrating Cryo-EM with AI-driven Multi-resolution Simulations to Observe the SARS-CoV-2 Replication-Transcription Machinery in Action

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.10.09.463779
N/A
0DataRank · unranked
6 citations

Defne Gorgun, Zongyi Li, Alexander Brace, Maxim Zvyagin, Heng Ma +29 more

Mechanisms of Coupling between Angiotensin Converting Enzyme 2 and Nicotinic Acetylcholine Receptors

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.08.12.456154
N/A
0DataRank · unranked
0 citations

Kyle D. Brumfield, Patricia Sinclair, Arvind Ramanathan, Menu Leddy, Rita R. Colwell +2 more

#COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol

The International Journal of High Performance Computing Applications(2022)10.1177/10943420221128233
N/A
0DataRank · unranked
98 citations

Lorenzo Casalino, Fiona L. Kearns, Mia A. Rosenfeld, Nicholas Wauer, Surl-Hee Ahn +47 more

Machine learning–driven multiscale modeling reveals lipid-dependent dynamics of RAS signaling proteins

Proceedings of the National Academy of Sciences(2022)10.1073/pnas.2113297119
N/A
0DataRank · unranked
87 citations

Chris Neale, Timothy S. Carpenter, Rebika Shrestha, César A. López, Timothy H. Tran +37 more

Intelligent resolution: Integrating Cryo-EM with AI-driven multi-resolution simulations to observe the severe acute respiratory syndrome coronavirus-2 replication-transcription machinery in action

The International Journal of High Performance Computing Applications(2022)10.1177/10943420221113513
N/A
0DataRank · unranked
6 citations

Defne Gorgun, Michael Salim, Zongyi Li, Alexander Brace, Maxim Zvyagin +29 more

ChemoGraph: Interactive Visual Exploration of the Chemical Space

Computer Graphics Forum(2023)10.1111/cgf.14807
N/A
0DataRank · unranked
8 citations

Austin Clyde, Maoyuan Sun, Arvind Ramanathan, Rick Stevens, Michael E. Papka +1 more

Model certainty in cellular network-driven processes with missing data

PLoS Computational Biology(2023)10.1371/journal.pcbi.1011004
N/A
0DataRank · unranked
4 citations

Arvind Ramanathan, Carlos F. Lopez, Michael Irvin

Causal Discovery and Optimal Experimental Design for Genome-Scale Biological Network Recovery

PubMed(2023)10.1145/3592979.3593400
N/A
0DataRank · unranked
2 citations

Arvind Ramanathan, Valérie Hayot-Sasson, Rick Stevens, Ashka Shah

Causal Discovery and Optimal Experimental Design for Genome-Scale Biological Network Recovery

arXiv (Cornell University)(2023)10.48550/arxiv.2304.03210
N/A
0DataRank · unranked
0 citations

Arvind Ramanathan, Valérie Hayot-Sasson, Rick Stevens, Ashka Shah

Uncovering a membrane-distal conformation of KRAS available to recruit RAF to the plasma membrane

Proceedings of the National Academy of Sciences(2020)10.1073/pnas.2006504117
N/A
0DataRank · unranked
58 citations

César A. López, Marco Tonelli, Troy Taylor, Ben Niu, Christopher B. Stanley +24 more

High Performance Binding Affinity Prediction with a Transformer-Based Surrogate Model

(2024)10.1109/ipdpsw63119.2024.00114
N/A
0DataRank · unranked
3 citations

Ozan Gökdemir, Alexander Brace, Arvind Ramanathan, Thomas Brettin, Rick Stevens +2 more

Using case-level context to classify cancer pathology reports

PLoS ONE(2020)10.1371/journal.pone.0232840
N/A
0DataRank · unranked
24 citations

Mohammed Alawad, Noah Schaefferkoetter, Lynne Penberthy, Xiao‐Cheng Wu, Eric B. Durbin +4 more