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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:

Establishing a second-generation artificial intelligence-based system for improving diagnosis, treatment, and monitoring of patients with rare diseases
Noa Hurvitz, Henny Azmanov, Asa Kesler, et al.
European Journal of Human Genetics (2021) Vol. 29, Iss. 10, pp. 1485-1490
Open Access | Times Cited: 63

Showing 1-25 of 63 citing articles:

Artificial intelligence in developing countries: The impact of generative artificial intelligence (AI) technologies for development
Nishith Reddy Mannuru, Sakib Shahriar, Zoë Abbie Teel, et al.
Information Development (2023)
Closed Access | Times Cited: 115
Artificial intelligence in rare disease diagnosis and treatment
Magda Wojtara, Emaan Rana, Taibia Rahman, et al.
Clinical and Translational Science (2023) Vol. 16, Iss. 11, pp. 2106-2111
Open Access | Times Cited: 69
The Impact of Artificial Intelligence in the Odyssey of Rare Diseases
Anna Visibelli, Bianca Roncaglia, Ottavia Spiga, et al.
Biomedicines (2023) Vol. 11, Iss. 3, pp. 887-887
Open Access | Times Cited: 49
Cardiovascular/Stroke Risk Stratification in Parkinson’s Disease Patients Using Atherosclerosis Pathway and Artificial Intelligence Paradigm: A Systematic Review
Jasjit S. Suri, Sudip Paul, Mahesh Maindarkar, et al.
Metabolites (2022) Vol. 12, Iss. 4, pp. 312-312
Open Access | Times Cited: 37
The Impact of Artificial Intelligence on Optimizing Diagnosis and Treatment Plans for Rare Genetic Disorders
Shenouda Abdallah, Mouhammad Sharifa, Mohammed Khaleel I Kh Almadhoun, et al.
Cureus (2023)
Open Access | Times Cited: 34
Artificial intelligence in medicine: A comprehensive survey of medical doctor’s perspectives in Portugal
Ana Rita Pedro, Michelle B. Dias, Liliana Laranjo, et al.
PLoS ONE (2023) Vol. 18, Iss. 9, pp. e0290613-e0290613
Open Access | Times Cited: 25
Using chronobiology-based second-generation artificial intelligence digital system for overcoming antimicrobial drug resistance in chronic infections
Yotam Kolben, Henny Azmanov, Ram Gelman, et al.
Annals of Medicine (2023) Vol. 55, Iss. 1, pp. 311-318
Open Access | Times Cited: 24
Harnessing AI for enhanced evidence-based laboratory medicine (EBLM)
Tahir S. Pillay, Deniz İlhan Topçu, Sedef Yenice
Clinica Chimica Acta (2025) Vol. 569, pp. 120181-120181
Open Access | Times Cited: 1
A Subject-Tailored Variability-Based Platform for Overcoming the Plateau Effect in Sports Training: A Narrative Review
Ram Gelman, Marc Berg, Yaron Ilan
International Journal of Environmental Research and Public Health (2022) Vol. 19, Iss. 3, pp. 1722-1722
Open Access | Times Cited: 36
Next-Generation Personalized Medicine: Implementation of Variability Patterns for Overcoming Drug Resistance in Chronic Diseases
Yaron Ilan
Journal of Personalized Medicine (2022) Vol. 12, Iss. 8, pp. 1303-1303
Open Access | Times Cited: 33
Microtubules as a potential platform for energy transfer in biological systems: a target for implementing individualized, dynamic variability patterns to improve organ function
Yaron Ilan
Molecular and Cellular Biochemistry (2022) Vol. 478, Iss. 2, pp. 375-392
Closed Access | Times Cited: 29
Making use of noise in biological systems
Yaron Ilan
Progress in Biophysics and Molecular Biology (2023) Vol. 178, pp. 83-90
Closed Access | Times Cited: 21
Artificial intelligence in healthcare: a mastery
Jayanti Mukherjee, Ramesh Sharma, Prasenjit Dutta, et al.
Biotechnology and Genetic Engineering Reviews (2023) Vol. 40, Iss. 3, pp. 1659-1708
Closed Access | Times Cited: 21
A second-generation artificial intelligence-based therapeutic regimen improves diuretic resistance in heart failure: Results of a feasibility open-labeled clinical trial
Ram Gelman, Noa Hurvitz, Rima Nesserat, et al.
Biomedicine & Pharmacotherapy (2023) Vol. 161, pp. 114334-114334
Open Access | Times Cited: 19
Machine learning-based clinical decision support using laboratory data
Hikmet Can Çubukçu, Deniz İlhan Topçu, Sedef Yenice
Clinical Chemistry and Laboratory Medicine (CCLM) (2023) Vol. 62, Iss. 5, pp. 793-823
Open Access | Times Cited: 16
Overcoming Low Adherence to Chronic Medications by Improving their Effectiveness Using a Personalized Second-generation Digital System
Areej Bayatra, Rima Nasserat, Yaron Ilan
Current Pharmaceutical Biotechnology (2024) Vol. 25, Iss. 16, pp. 2078-2088
Closed Access | Times Cited: 5
The constrained disorder principle defines living organisms and provides a method for correcting disturbed biological systems
Yaron Ilan
Computational and Structural Biotechnology Journal (2022) Vol. 20, pp. 6087-6096
Open Access | Times Cited: 25
Constrained disorder principle-based variability is fundamental for biological processes: Beyond biological relativity and physiological regulatory networks
Yaron Ilan
Progress in Biophysics and Molecular Biology (2023) Vol. 180-181, pp. 37-48
Closed Access | Times Cited: 15
The Constrained-Disorder Principle Assists in Overcoming Significant Challenges in Digital Health: Moving from “Nice to Have” to Mandatory Systems
Noa Hurvitz, Yaron Ilan
Clinics and Practice (2023) Vol. 13, Iss. 4, pp. 994-1014
Open Access | Times Cited: 13
Improving the response to lenvatinib in partial responders using a Constrained-Disorder-Principle-based second-generation artificial intelligence-therapeutic regimen: a proof-of-concept open-labeled clinical trial
Tal Sigawi, Ram Gelman, Ofra Maimon, et al.
Frontiers in Oncology (2024) Vol. 14
Open Access | Times Cited: 5
The Constrained Disorder Principle: Beyond Biological Allostasis
Ofek Adar, Josef Daniel Shakargy, Yaron Ilan
Biology (2025) Vol. 14, Iss. 4, pp. 339-339
Open Access
The Relationship Between Biological Noise and Its Application: Understanding System Failures and Suggesting a Method to Enhance Functionality Based on the Constrained Disorder Principle
Yaron Ilan
Biology (2025) Vol. 14, Iss. 4, pp. 349-349
Open Access
Role of circadian rhythm and autonomic nervous system in liver function: a hypothetical basis for improving the management of hepatic encephalopathy
Yuval Ishay, Yotam Kolben, Asa Kessler, et al.
AJP Gastrointestinal and Liver Physiology (2021) Vol. 321, Iss. 4, pp. G400-G412
Closed Access | Times Cited: 29
Artificial Intelligence in Medical Imaging and its Impact on the Rare Disease Community: Threats, Challenges and Opportunities
Navid Hasani, Faraz Farhadi, Michael Morris, et al.
PET Clinics (2021) Vol. 17, Iss. 1, pp. 13-29
Open Access | Times Cited: 29
Using Constrained-Disorder Principle-Based Systems to Improve the Performance of Digital Twins in Biological Systems
Tal Sigawi, Yaron Ilan
Biomimetics (2023) Vol. 8, Iss. 4, pp. 359-359
Open Access | Times Cited: 11
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