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:

In silico Methods for Identification of Potential Therapeutic Targets
Xuting Zhang, Fengxu Wu, Nan Yang, et al.
Interdisciplinary Sciences Computational Life Sciences (2021) Vol. 14, Iss. 2, pp. 285-310
Open Access | Times Cited: 48

Showing 1-25 of 48 citing articles:

In Silico Methods for Identification of Potential Active Sites of Therapeutic Targets
Jianbo Liao, Qinyu Wang, Fengxu Wu, et al.
Molecules (2022) Vol. 27, Iss. 20, pp. 7103-7103
Open Access | Times Cited: 46

Leveraging artificial intelligence in vaccine development: A narrative review
David B. Olawade, Jennifer Teke, Oluwaseun Fapohunda, et al.
Journal of Microbiological Methods (2024) Vol. 224, pp. 106998-106998
Open Access | Times Cited: 11

Farmasi Cerdas: Era Baru Penemuan Obat dengan AI dan Big Data
Raymond R. Tjandrawinata
MEDICINUS (2025) Vol. 38, Iss. 1, pp. 27-36
Closed Access

An in-depth review of AI-powered advancements in cancer drug discovery
Le Huu Nhat Minh, P Nguyen, Nguyen Thi Trang, et al.
Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease (2025), pp. 167680-167680
Closed Access

Molecular Modeling and Drug Design
Monalisa Kesh, Asok Ghosh, Diptanil Biswas
(2024), pp. 1-24
Closed Access | Times Cited: 5

Identifying Substructures That Facilitate Compounds to Penetrate the Blood–Brain Barrier via Passive Transport Using Machine Learning Explainer Models
Lucca Caiaffa Santos Rosa, Caio Oliveira Argolo, Cayque Monteiro Castro Nascimento, et al.
ACS Chemical Neuroscience (2024) Vol. 15, Iss. 11, pp. 2144-2159
Open Access | Times Cited: 4

Multi-level bioinformatics resources support drug target discovery of protein–protein interactions
Jiaxin Liu, Xiao Zhang, Yuanqin Huang, et al.
Drug Discovery Today (2024) Vol. 29, Iss. 5, pp. 103979-103979
Closed Access | Times Cited: 3

Transforming Drug Design: Innovations in Computer-Aided Discovery for Biosimilar Agents
Shadi Askari, Alireza Ghofrani, Hamed Taherdoost
BioMedInformatics (2023) Vol. 3, Iss. 4, pp. 1178-1196
Open Access | Times Cited: 8

CHL-DTI: A Novel High–Low Order Information Convergence Framework for Effective Drug–Target Interaction Prediction
Shudong Wang, Yingye Liu, Yuanyuan Zhang, et al.
Interdisciplinary Sciences Computational Life Sciences (2024) Vol. 16, Iss. 3, pp. 568-578
Closed Access | Times Cited: 2

An overview of recent advances and challenges in predicting compound-protein interaction (CPI)
Yanbei Li, Zhehuan Fan, Jingxin Rao, et al.
Medical Review (2023) Vol. 3, Iss. 6, pp. 465-486
Open Access | Times Cited: 7

Genome-Wide Subtraction Analysis and Reverse Vaccinology to Detect Novel Drug Targets and Potential Vaccine Candidates Against Ehrlichia chaffeensis
Samira Sabzi, Shahla Shahbazi, Narjes Noori Goodarzi, et al.
Applied Biochemistry and Biotechnology (2022) Vol. 195, Iss. 1, pp. 107-124
Open Access | Times Cited: 12

CANDI: A Web Server for Predicting Molecular Targets and Pathways of Cannabis-Based Therapeutics
E. Srinivasan, Jian Wang, Nikolay V. Dokholyan
Research Square (Research Square) (2024)
Open Access | Times Cited: 1

Multiplatform-Integrated Identification of Melatonin Targets for a Triad of Psychosocial-Sleep/Circadian-Cardiometabolic Disorders
Luciana Aparecida Campos, Ovidiu Constantin Baltatu, Sergio Senar, et al.
International Journal of Molecular Sciences (2023) Vol. 24, Iss. 1, pp. 860-860
Open Access | Times Cited: 4

In-silico approach of identifying novel therapeutic targets against Yersinia pestis using pan and subtractive genomic analysis
Jubairul Islam, Himadree Sarkar, Hammadul Hoque, et al.
Computational Biology and Chemistry (2022) Vol. 101, pp. 107784-107784
Closed Access | Times Cited: 5

Computational Analysis to Predict Drug Targets for the Therapeutic Management of Mycobacterium avium sub. Paratuberculosis
Taruna Mohinani, Aditya Saxena, Shoor Vir Singh
Current Drug Discovery Technologies (2023) Vol. 20, Iss. 4
Closed Access | Times Cited: 2

Bioinformatics Approaches in the Development of Antifungal Therapeutics and Vaccines
Vaishali Ahlawat, Kiran Sura, Bharat Singh, et al.
Current Genomics (2024) Vol. 25, Iss. 5, pp. 323-333
Open Access

Bioinformatics approach to enhance the undergraduate biology students’ understanding of plant terpenoid
Risanti Dhaniaputri, Hadi Suwono, Betty Lukiati
JPBI (Jurnal Pendidikan Biologi Indonesia) (2024) Vol. 10, Iss. 2, pp. 441-452
Open Access

Unveiling Allium sativum Phytocompounds as New Antileptospiral Agents via a Structural‐Based Virtual Screening Approach
Kanika Verma, Mohanraj Gopikrishnan, Ankit Yadav, et al.
ChemistrySelect (2024) Vol. 9, Iss. 38
Closed Access

Drug-target prediction through self supervised learning with dual task ensemble approach
Surabhi Mishra, Ashish Chinthala, Mahua Bhattacharya
Computational Biology and Chemistry (2024) Vol. 113, pp. 108244-108244
Closed Access

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