Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

Diagnosis and Management of Progressive Multiple Sclerosis
Gabrielle Macaron, Daniel Ontaneda
Biomedicines (2019) Vol. 7, Iss. 3, pp. 56-56
Open Access | Times Cited: 62

Showing 1-25 of 62 citing articles:

Potential drug targets for multiple sclerosis identified through Mendelian randomization analysis
Jianfeng Lin, Jiawei Zhou, Yan Xu
Brain (2023) Vol. 146, Iss. 8, pp. 3364-3372
Open Access | Times Cited: 166
Applications of deep learning techniques for automated multiple sclerosis detection using magnetic resonance imaging: A review
Afshin Shoeibi, Marjane Khodatars, Mahboobeh Jafari, et al.
Computers in Biology and Medicine (2021) Vol. 136, pp. 104697-104697
Open Access | Times Cited: 145
Inflammatory and neurodegenerative serum protein biomarkers increase sensitivity to detect clinical and radiographic disease activity in multiple sclerosis
Tanuja Chitnis, Ferhan Qureshi, Victor M. Gehman, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 9
Effect of Ocrelizumab in Blood Leukocytes of Patients With Primary Progressive MS
José Ignacio Fernández-Velasco, Jens Kühle, Enric Monreal, et al.
Neurology Neuroimmunology & Neuroinflammation (2021) Vol. 8, Iss. 2
Open Access | Times Cited: 48
Predictors of multiple sclerosis progression: A systematic review of conventional magnetic resonance imaging studies
Nima Broomand Lomer, Kamal AmirAshjei Asalemi, Alia Saberi, et al.
PLoS ONE (2024) Vol. 19, Iss. 4, pp. e0300415-e0300415
Open Access | Times Cited: 8
An “Outside-In” and “Inside-Out” Consideration of Complement in the Multiple Sclerosis Brain: Lessons From Development and Neurodegenerative Diseases
B. Paul Morgan, Jennifer L. Gommerman, Valeria Ramaglia
Frontiers in Cellular Neuroscience (2021) Vol. 14
Open Access | Times Cited: 41
The Ins and Outs of Central Nervous System Inflammation—Lessons Learned from Multiple Sclerosis
Valeria Ramaglia, Olga L. Rojas, Ikbel Naouar, et al.
Annual Review of Immunology (2021) Vol. 39, Iss. 1, pp. 199-226
Closed Access | Times Cited: 40
Analytical validation of a multi‐protein, serum‐based assay for disease activity assessments in multiple sclerosis
Ferhan Qureshi, Wayne Hu, Louisa Loh, et al.
PROTEOMICS - CLINICAL APPLICATIONS (2023) Vol. 17, Iss. 3
Open Access | Times Cited: 16
Plant-based production of an orally active cyclotide for the treatment of multiple sclerosis
Mark A. Jackson, Jing Xie, Linh T. T. Nguyen, et al.
Transgenic Research (2023) Vol. 32, Iss. 1-2, pp. 121-133
Open Access | Times Cited: 15
Evaluating the Effects of Dietary Interventions on Disease Progression and Symptoms of Adults with Multiple Sclerosis: An Umbrella Review
Abbey R Tredinnick, Yasmine Probst
Advances in Nutrition (2020) Vol. 11, Iss. 6, pp. 1603-1615
Open Access | Times Cited: 33
The Benefits and Risks of Switching from Fingolimod to Siponimod for the Treatment of Relapsing–Remitting and Secondary Progressive Multiple Sclerosis
Martin Vališ, Anat Achiron, Hans Hartung, et al.
Drugs in R&D (2023) Vol. 23, Iss. 4, pp. 331-338
Open Access | Times Cited: 13
An analytical review on the use of artificial intelligence and machine learning in diagnosis, prediction, and risk factor analysis of multiple sclerosis
Shima Pilehvari, Yasser Morgan, Wei Peng
Multiple Sclerosis and Related Disorders (2024) Vol. 89, pp. 105761-105761
Closed Access | Times Cited: 4
Intermediate uveitis associated with MS
A. Abraham, Lindsay B. Nicholson, Andrew D. Dick, et al.
Neurology Neuroimmunology & Neuroinflammation (2020) Vol. 8, Iss. 1
Open Access | Times Cited: 30
Automatic and Robust Segmentation of Multiple Sclerosis Lesions with Convolutional Neural Networks
H. M. Rehan Afzal, Suhuai Luo, Saadallah Ramadan, et al.
Computers, materials & continua/Computers, materials & continua (Print) (2020) Vol. 66, Iss. 1, pp. 977-991
Open Access | Times Cited: 24
Clinical and Paraclinical Biomarkers and the Hitches to Assess Conversion to Secondary Progressive Multiple Sclerosis: A Systematic Review
Nik Krajnc, Gabriel Bsteh, Thomas Berger
Frontiers in Neurology (2021) Vol. 12
Open Access | Times Cited: 21
Graph-Based Analysis of Brain Connectivity in Multiple Sclerosis Using Functional MRI: A Systematic Review
Sara Hejazi, Waldemar Karwowski, Farzad V. Farahani, et al.
Brain Sciences (2023) Vol. 13, Iss. 2, pp. 246-246
Open Access | Times Cited: 9
Predicting multiple sclerosis disease progression and outcomes with machine learning and MRI-based biomarkers: a review
Hibba Yousef, Brigitta Malagurski Tortei, Filippo Castiglione
Journal of Neurology (2024)
Open Access | Times Cited: 3
Pharmacological inhibition of soluble epoxide hydrolase attenuates chronic experimental autoimmune encephalomyelitis by modulating inflammatory and anti-inflammatory pathways in an inflammasome-dependent and -independent manner
Merve Biliktu, Şefika Pınar Şenol, Meryem Temiz-Reşitoğlu, et al.
Inflammopharmacology (2020) Vol. 28, Iss. 6, pp. 1509-1524
Closed Access | Times Cited: 23
Primary Progressive Multiple Sclerosis—A Key to Understanding and Managing Disease Progression
Izabela Sempik, Edyta Dziadkowiak, Helena Moreira, et al.
International Journal of Molecular Sciences (2024) Vol. 25, Iss. 16, pp. 8751-8751
Open Access | Times Cited: 2
Multiple sclerosis: a narrative overview of current pharmacotherapies and emerging treatment prospects
Piotr Olejnik, Zuzanna Roszkowska, Sylwia Adamus, et al.
Pharmacological Reports (2024) Vol. 76, Iss. 5, pp. 926-943
Open Access | Times Cited: 2
Gray Matter Matters: A Longitudinal Magnetic Resonance Voxel-Based Morphometry Study of Primary Progressive Multiple Sclerosis
Ted L. Rothstein
Frontiers in Neurology (2020) Vol. 11
Open Access | Times Cited: 15
Diagnosing ‘transition’ to secondary progressive multiple sclerosis (SPMS): A step-by-step approach for clinicians
Eman Hamdy, Farouk Talaat, Ismail Ramadan, et al.
Multiple Sclerosis and Related Disorders (2022) Vol. 60, pp. 103718-103718
Open Access | Times Cited: 8
Cycling in primary progressive multiple sclerosis (CYPRO): study protocol for a randomized controlled superiority trial evaluating the effects of high-intensity interval training in persons with primary progressive multiple sclerosis
Marie Kupjetz, Niklas Joisten, Annette Rademacher, et al.
BMC Neurology (2023) Vol. 23, Iss. 1
Open Access | Times Cited: 4
Cerebellar pathology in multiple sclerosis and experimental autoimmune encephalomyelitis: current status and future directions
Dain L. Maxwell, Jacqueline M. Orian
Journal of Central Nervous System Disease (2023) Vol. 15
Open Access | Times Cited: 4
Single-Cell Sequencing Combined with Transcriptome Sequencing Constructs a Predictive Model of Key Genes in Multiple Sclerosis and Explores Molecular Mechanisms Related to Cellular Communication
Fangzhou Hu, Zhu Yun-fei, Jingluan Tian, et al.
Journal of Inflammation Research (2024) Vol. Volume 17, pp. 191-210
Open Access | Times Cited: 1
Page 1 - Next Page

Scroll to top