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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:

Omics, big data and machine learning as tools to propel understanding of biological mechanisms and to discover novel diagnostics and therapeutics
Nikolaos Perakakis, Alireza Yazdani, George Em Karniadakis, et al.
Metabolism (2018) Vol. 87, pp. A1-A9
Open Access | Times Cited: 113

Showing 1-25 of 113 citing articles:

Artificial intelligence in cancer target identification and drug discovery
Yujie You, Xin Lai, Yi Pan, et al.
Signal Transduction and Targeted Therapy (2022) Vol. 7, Iss. 1
Open Access | Times Cited: 213
Integrative Methods and Practical Challenges for Single-Cell Multi-omics
Anjun Ma, Adam McDermaid, Jennifer Xu, et al.
Trends in biotechnology (2020) Vol. 38, Iss. 9, pp. 1007-1022
Open Access | Times Cited: 201
Synthetic biomarkers: a twenty-first century path to early cancer detection
Gabriel A. Kwong, Sharmistha Ghosh, Lena Gamboa, et al.
Nature reviews. Cancer (2021) Vol. 21, Iss. 10, pp. 655-668
Open Access | Times Cited: 136
Machine Learning in Nutrition Research
Daniel Kirk, E.J. Kok, Michele Tufano, et al.
Advances in Nutrition (2022) Vol. 13, Iss. 6, pp. 2573-2589
Open Access | Times Cited: 71
Perspective of artificial intelligence in healthcare data management: A journey towards precision medicine
Nancy Sanjay Gupta, Pravir Kumar
Computers in Biology and Medicine (2023) Vol. 162, pp. 107051-107051
Closed Access | Times Cited: 68
The role of omics in the pathophysiology, diagnosis and treatment of non-alcoholic fatty liver disease
Nikolaos Perakakis, Konstantinos Stefanakis, Christos S. Mantzoros
Metabolism (2020) Vol. 111, pp. 154320-154320
Open Access | Times Cited: 124
Non-invasive diagnosis of non-alcoholic steatohepatitis and fibrosis with the use of omics and supervised learning: A proof of concept study
Nikolaos Perakakis, Stergios A. Pοlyzos, Alireza Yazdani, et al.
Metabolism (2019) Vol. 101, pp. 154005-154005
Closed Access | Times Cited: 108
Empowering Clinical Diagnostics with Mass Spectrometry
Shibdas Banerjee
ACS Omega (2020) Vol. 5, Iss. 5, pp. 2041-2048
Open Access | Times Cited: 86
Perspectives on Precision Medicine Approaches to NAFLD Diagnosis and Management
Amedeo Lonardo, Juan Pablo Arab, Marco Arrese
Advances in Therapy (2021) Vol. 38, Iss. 5, pp. 2130-2158
Open Access | Times Cited: 67
Potential for Chemistry in Multidisciplinary, Interdisciplinary, and Transdisciplinary Teaching Activities in Higher Education
John G. Hardy, Stephanie Sdepanian, Alison Stowell, et al.
Journal of Chemical Education (2021) Vol. 98, Iss. 4, pp. 1124-1145
Open Access | Times Cited: 56
Recent advances in machine learning applications in metabolic engineering
Pradipta Patra, Disha B.R., Pritam Kundu, et al.
Biotechnology Advances (2022) Vol. 62, pp. 108069-108069
Closed Access | Times Cited: 50
In Search of Big Medical Data Integration Solutions - A Comprehensive Survey
Houssein Dhayne, Rafiqul Haque, Rima Kilany, et al.
IEEE Access (2019) Vol. 7, pp. 91265-91290
Open Access | Times Cited: 65
Interpretation of omics data analyses
Ryo Yamada, Daigo Okada, Juan Wang, et al.
Journal of Human Genetics (2020) Vol. 66, Iss. 1, pp. 93-102
Open Access | Times Cited: 65
Omics Biomarkers in Obesity: Novel Etiological Insights and Targets for Precision Prevention
Krasimira Aleksandrova, Caue Egea Rodrigues, Anna Floegel, et al.
Current Obesity Reports (2020) Vol. 9, Iss. 3, pp. 219-230
Open Access | Times Cited: 59
Non-alcoholic fatty liver disease and steatohepatitis: State of the art on effective therapeutics based on the gold standard method for diagnosis
Maryam Mahjoubin‐Tehran, Antonio De Vincentis, Dimitri P. Mikhailidis, et al.
Molecular Metabolism (2020) Vol. 50, pp. 101049-101049
Open Access | Times Cited: 59
The “Virtual Digital Twins” Concept in Precision Nutrition
Kalliopi Gkouskou, Ioannis Vlastos, Πέτρος Καρκαλούσος, et al.
Advances in Nutrition (2020) Vol. 11, Iss. 6, pp. 1405-1413
Open Access | Times Cited: 57
Artificial Intelligence to Decode Cancer Mechanism: Beyond Patient Stratification for Precision Oncology
Sandip Kumar Patel, Bhawana George, Vineeta Rai
Frontiers in Pharmacology (2020) Vol. 11
Open Access | Times Cited: 53
Blood Viscosity in Subjects With Type 2 Diabetes Mellitus: Roles of Hyperglycemia and Elevated Plasma Fibrinogen
Jiehui Sun, Keqin Han, Miao Xu, et al.
Frontiers in Physiology (2022) Vol. 13
Open Access | Times Cited: 32
Human Mesenchymal Stem Cell Secretome Driven T Cell Immunomodulation Is IL-10 Dependent
Matthew T. Shephard, Marwan M. Merkhan, Nicholas R. Forsyth
International Journal of Molecular Sciences (2022) Vol. 23, Iss. 21, pp. 13596-13596
Open Access | Times Cited: 31
Early metabolomic, lipid and lipoprotein changes in response to medical and surgical therapeutic approaches to obesity
Angeliki M. Angelidi, Alexander Kokkinos, Despina Sanoudou, et al.
Metabolism (2022) Vol. 138, pp. 155346-155346
Closed Access | Times Cited: 29
Harnessing Artificial Intelligence in Multimodal Omics Data Integration: Paving the Path for the Next Frontier in Precision Medicine
Yonghyun Nam, Jae‐Sik Kim, Sang‐Hyuk Jung, et al.
Annual Review of Biomedical Data Science (2024) Vol. 7, Iss. 1, pp. 225-250
Closed Access | Times Cited: 7
Big data in biology: The hope and present-day challenges in it
Subhajit Pal, Sudip Mondal, Gourab Das, et al.
Gene Reports (2020) Vol. 21, pp. 100869-100869
Closed Access | Times Cited: 40
Recent advances in mass-spectrometry based proteomics software, tools and databases
Ankit Halder, Ayushi Verma, Deeptarup Biswas, et al.
Drug Discovery Today Technologies (2021) Vol. 39, pp. 69-79
Closed Access | Times Cited: 36
Artificial intelligence and diabetes technology: A review
Thibault Gautier, L. B. Ziegler, Matthew S. Gerber, et al.
Metabolism (2021) Vol. 124, pp. 154872-154872
Closed Access | Times Cited: 36
Multi-Layer Picture of Neurodegenerative Diseases: Lessons from the Use of Big Data through Artificial Intelligence
Andrea Termine, Carlo Fabrizio, Claudia Strafella, et al.
Journal of Personalized Medicine (2021) Vol. 11, Iss. 4, pp. 280-280
Open Access | Times Cited: 35
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