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

William Mangione

University at Buffalo, State University of New York

ORCID: 0000-0003-0582-4247
Computer ScienceBiochemistry, 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 7%percentile
0.165Author 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.

Effective holistic characterization of small molecule effects using heterogeneous biological networks

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.03.23.485550
Top 70%
0.165DataRank
Top 70%2 citations

Zackary Falls, Ram Samudrala, William Mangione

Papers

Driven by 15 papers — median percentile 30. Top paper: “Identifying Protein Features and Pathways Responsible for Toxicity Using Machine Learning and Tox21: Implications for Predictive Toxicology”.

Identifying Protein Features and Pathways Responsible for Toxicity Using Machine Learning and Tox21: Implications for Predictive Toxicology

Molecules(2022)10.3390/molecules27093021
N/A
0.542DataRank · unranked
36 citations

William Mangione, Mira Moukheiber, Saeed Maleki, Zackary Falls, Mingchen Gao +2 more

Proteomic Network Analysis of Bronchoalveolar Lavage Fluid in Ex-Smokers to Discover Implicated Protein Targets and Novel Drug Treatments for Chronic Obstructive Pulmonary Disease

Pharmaceuticals(2022)10.3390/ph15050566
N/A
0.416DataRank · unranked
15 citations

Chengjian Tu, Matthew Morris, Spencer Richman, William Mangione, Zackary Falls +5 more

Effective holistic characterization of small molecule effects using heterogeneous biological networks

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.03.23.485550
Top 70%
0.165DataRank
Top 70%2 citations

Zackary Falls, Ram Samudrala, William Mangione

A Deep-Learning Proteomic-Scale Approach for Drug Design

Pharmaceuticals(2021)10.3390/ph14121277
N/A
0DataRank · unranked
19 citations

Zackary Falls, William Mangione, Ram Samudrala, Brennan Overhoff

A Deep Learning Proteomic Scale Approach for Drug Design

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.10.05.463126
N/A
0DataRank · unranked
4 citations

Zackary Falls, William Mangione, Ram Samudrala, Brennan Overhoff

Identifying Protein Features and Pathways Responsible for Toxicity using Machine learning, CANDO, and Tox21 datasets: Implications for Predictive Toxicology

bioRxiv (Cold Spring Harbor Laboratory)(2021)10.1101/2021.12.13.472455
N/A
0DataRank · unranked
2 citations

William Mangione, Saeed Maleki, Zackary Falls, Mingchen Gao, Ram Samudrala +1 more

Optimal COVID-19 therapeutic candidate discovery using the CANDO platform

Frontiers in Pharmacology(2022)10.3389/fphar.2022.970494
N/A
0DataRank · unranked
12 citations

Zackary Falls, Ram Samudrala, William Mangione

Proteomic network analysis of bronchoalveolar lavage fluid in ex-smokers to discover implicated protein targets and novel drug treatments for chronic obstructive pulmonary disease

bioRxiv (Cold Spring Harbor Laboratory)(2022)10.1101/2022.02.14.480388
N/A
0DataRank · unranked
5 citations

Chengjian Tu, Matthew Morris, Spencer Richman, William Mangione, Zackary Falls +5 more

Multiscale Analysis and Validation of Effective Drug Combinations Targeting Driver KRAS Mutations in Non-Small Cell Lung Cancer

International Journal of Molecular Sciences(2023)10.3390/ijms24020997
N/A
0DataRank · unranked
10 citations

Zackary Falls, William Mangione, Stanley A. Schwartz, Sebastiano Battaglia, Ravikumar Aalinkeel +3 more

Effective holistic characterization of small molecule effects using heterogeneous biological networks

Frontiers in Pharmacology(2023)10.3389/fphar.2023.1113007
N/A
0DataRank · unranked
14 citations

Zackary Falls, Ram Samudrala, William Mangione

Strategies for Robust, Accurate, and Generalisable Benchmarking of Drug Discovery Platforms

Qeios(2024)10.32388/2ylbwo
N/A
0DataRank · unranked
0 citations

William Mangione, Zackary Falls, Ram Samudrala, Melissa Van Norden

Shotgun drug repurposing biotechnology to tackle epidemics and pandemics

Drug Discovery Today(2020)10.1016/j.drudis.2020.05.002
N/A
0DataRank · unranked
33 citations

Zackary Falls, Thomas Melendy, Gaurav Chopra, Ram Samudrala, William Mangione

Strategies for robust, accurate, and generalizable benchmarking of drug discovery platforms

Bioinformatics(2025)10.1093/bioinformatics/btaf604
N/A
0DataRank · unranked
0 citations

William Mangione, Zackary Falls, Ram Samudrala, Melissa Van Norden

cando.py: Open Source Software for Predictive Bioanalytics of Large Scale Drug–Protein–Disease Data

Journal of Chemical Information and Modeling(2020)10.1021/acs.jcim.0c00110
N/A
0DataRank · unranked
33 citations

Zackary Falls, Gaurav Chopra, Ram Samudrala, William Mangione

Evaluating the performance of drug-repurposing technologies

Drug Discovery Today(2021)10.1016/j.drudis.2021.08.002
N/A
0DataRank · unranked
47 citations

Zackary Falls, William Mangione, Matthew L. Hudson, Liana Bruggemann, Ram Samudrala +1 more