OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Computational chemoproteomics to understand the role of selected psychoactives in treating mental health indications
Jonathan Fine, Rachel M. Lackner, Ram Samudrala, et al.
Scientific Reports (2019) Vol. 9, Iss. 1
Open Access | Times Cited: 26

Showing 1-25 of 26 citing articles:

CANDOCK: Chemical Atomic Network-Based Hierarchical Flexible Docking Algorithm Using Generalized Statistical Potentials
Jonathan Fine, Janez Konc, Ram Samudrala, et al.
Journal of Chemical Information and Modeling (2020) Vol. 60, Iss. 3, pp. 1509-1527
Open Access | Times Cited: 49

Evaluating the performance of drug-repurposing technologies
James Schuler, Zackary Falls, William Mangione, et al.
Drug Discovery Today (2021) Vol. 27, Iss. 1, pp. 49-64
Open Access | Times Cited: 31

Identifying Protein Features and Pathways Responsible for Toxicity Using Machine Learning and Tox21: Implications for Predictive Toxicology
Lama Moukheiber, William Mangione, Mira Moukheiber, et al.
Molecules (2022) Vol. 27, Iss. 9, pp. 3021-3021
Open Access | Times Cited: 21

Fingerprinting CANDO: Increased Accuracy with Structure- and Ligand-Based Shotgun Drug Repurposing
James Schuler, Ram Samudrala
ACS Omega (2019) Vol. 4, Iss. 17, pp. 17393-17403
Open Access | Times Cited: 32

cando.py: Open Source Software for Predictive Bioanalytics of Large Scale Drug–Protein–Disease Data
William Mangione, Zackary Falls, Gaurav Chopra, et al.
Journal of Chemical Information and Modeling (2020) Vol. 60, Iss. 9, pp. 4131-4136
Open Access | Times Cited: 27

A Deep-Learning Proteomic-Scale Approach for Drug Design
Brennan Overhoff, Zackary Falls, William Mangione, et al.
Pharmaceuticals (2021) Vol. 14, Iss. 12, pp. 1277-1277
Open Access | Times Cited: 14

Multiscale Analysis and Validation of Effective Drug Combinations Targeting Driver KRAS Mutations in Non-Small Cell Lung Cancer
Liana Bruggemann, Zackary Falls, William Mangione, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 2, pp. 997-997
Open Access | Times Cited: 4

Evaluating Performance of Drug Repurposing Technologies
James Schuler, Zackary Falls, William Mangione, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2020)
Open Access | Times Cited: 9

Optimal COVID-19 therapeutic candidate discovery using the CANDO platform
William Mangione, Zackary Falls, Ram Samudrala
Frontiers in Pharmacology (2022) Vol. 13
Open Access | Times Cited: 6

Making the most effective use of available computational methods for drug repositioning
Denis N. Prada Gori, Lucas N. Alberca, Alan Talevi
Expert Opinion on Drug Discovery (2023) Vol. 18, Iss. 5, pp. 495-503
Closed Access | Times Cited: 3

CANDOCK: Chemical atomic network based hierarchical flexible docking algorithm using generalized statistical potentials
Jonathan Fine, Janez Konc, Ram Samudrala, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2018)
Open Access | Times Cited: 8

Accurate Prediction of Inhibitor Binding to HIV-1 Protease Using CANDOCK
Zackary Falls, Jonathan Fine, Gaurav Chopra, et al.
Frontiers in Chemistry (2022) Vol. 9
Open Access | Times Cited: 5

cando.py: Open source software for predictive bioanalytics of large scale drug-protein-disease data
William Mangione, Zackary Falls, Gaurav Chopra, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2019)
Open Access | Times Cited: 3

Predicting the effectiveness of combination treatment of dolutegravir and fluoxetine for depressive disorders in HIV
Liana Bruggemann, Sana Qayum, Qing Ma, et al.
Elsevier eBooks (2024), pp. 557-566
Closed Access

Strategies for robust, accurate, and generalizable benchmarking of drug discovery platforms
Melissa Van Norden, William Mangione, Zackary Falls, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access

Strategies for Robust, Accurate, and Generalisable Benchmarking of Drug Discovery Platforms
Melissa Van Norden, William Mangione, Zackary Falls, et al.
(2024)
Closed Access

Mass Spectrometry-Based Methods in CNS Drug Discovery
Gonzalo Blasco, Rudy Schreiber, Daan van Kruining
(2024), pp. 87-115
Closed Access

A Deep Learning Proteomic Scale Approach for Drug Design
Brennan Overhoff, Zackary Falls, William Mangione, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 3

Fingerprinting CANDO: Increased Accuracy with Structure and Ligand Based Shotgun Drug Repurposing
James Schuler, Ram Samudrala
bioRxiv (Cold Spring Harbor Laboratory) (2019)
Open Access | Times Cited: 2

MULTISCALE ANALYSIS AND VALIDATION OF EFFECTIVE DRUG COMBINATIONS TARGETING DRIVER KRAS MUTATIONS IN NON-SMALL CELL LUNG CANCER
Liana Bruggemann, Zackary Falls, William Mangione, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 1

Deciphering and manipulating the epigenome for the treatment of Parkinson’s and Alzheimer’s disease
Chidiebere Emmanuel Okechukwu
MGM Journal of Medical Sciences (2021) Vol. 8, Iss. 2, pp. 171-186
Open Access | Times Cited: 1

Graph Neural Networks Bootstrapped for Synthetic Selection and Validation of Small Molecule Immunomodulators
Prageeth R. Wijewardhane, Krupal P. Jethava, Jonathan Fine, et al.
(2021)
Open Access | Times Cited: 1

Graph Neural Networks Bootstrapped for Synthetic Selection and Validation of Small Molecule Immunomodulators
Prageeth R. Wijewardhane, Krupal P. Jethava, Jonathan Fine, et al.
(2021)
Open Access | Times Cited: 1

Predictive Measures to Tackle Mental Disorders During COVID-19
Syeda Hoor-Ul-Ain, Anwar A. Khan, Shama Siddiqui, et al.
(2023), pp. 73-103
Closed Access

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