Ari Green

16.8k total citations · 6 hit papers
111 papers, 6.4k citations indexed

About

Ari Green is a scholar working on Pathology and Forensic Medicine, Ophthalmology and Molecular Biology. According to data from OpenAlex, Ari Green has authored 111 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Pathology and Forensic Medicine, 31 papers in Ophthalmology and 26 papers in Molecular Biology. Recurrent topics in Ari Green's work include Multiple Sclerosis Research Studies (55 papers), Glaucoma and retinal disorders (15 papers) and Retinal and Optic Conditions (12 papers). Ari Green is often cited by papers focused on Multiple Sclerosis Research Studies (55 papers), Glaucoma and retinal disorders (15 papers) and Retinal and Optic Conditions (12 papers). Ari Green collaborates with scholars based in United States, Germany and France. Ari Green's co-authors include Jeffrey M. Gelfand, Axel Petzold, Andrew W. Bollen, Daniel Pelletier, Annette Langer‐Gould, Scott W. Atlas, Sven Schippling, Bruce Cree, Jonah R. Chan and Peter A. Calabresi and has published in prestigious journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.

In The Last Decade

Ari Green

110 papers receiving 6.3k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Progressive Multifocal Leukoencephalopathy in a Patient Treated with Natalizumab

2005 761 citations Ari Green, Daniel Pelletier et al. profile →
Optical coherence tomography in multiple sclerosis: a systematic review and meta-analysis

2010 435 citations Axel Petzold, Sven Schippling et al. The Lancet Neurology profile →
Micropillar arrays as a high-throughput screening platform for therapeutics in multiple sclerosis

2014 432 citations Feng Mei, Stephen P.J. Fancy et al. Nature Medicine profile →
The OSCAR-IB Consensus Criteria for Retinal OCT Quality Assessment

2012 430 citations Prejaas Tewarie, Lisanne J. Balk et al. PLoS ONE profile →
Blood GFAP as an emerging biomarker in brain and spinal cord disorders

2022 427 citations Ahmed Abdelhak, Matteo Foschi et al. Nature Reviews Neurology profile →
Clemastine fumarate as a remyelinating therapy for multiple sclerosis (ReBUILD): a randomised, controlled, double-blind, crossover trial

2017 393 citations Ari Green, Jeffrey M. Gelfand et al. profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Ari Green United States	38	2.7k	1.5k	1.5k	1.3k	882	111	6.4k
Pablo Villoslada Spain	50	4.0k 1.5×	1.7k 1.2×	1.2k 0.9×	1.5k 1.2×	875 1.0×	188	8.2k
Daniel R. Altmann United Kingdom	40	4.3k 1.6×	927 0.6×	803 0.6×	1.5k 1.1×	513 0.6×	88	6.9k
Orhan Aktaş Germany	53	4.7k 1.7×	2.6k 1.8×	1.2k 0.8×	3.2k 2.5×	1.7k 1.9×	208	10.4k
Jette Lautrup Frederiksen Denmark	48	4.8k 1.7×	1.1k 0.7×	1.1k 0.7×	2.1k 1.7×	818 0.9×	199	8.1k
Jens Wuerfel Germany	46	2.9k 1.1×	779 0.5×	440 0.3×	1.7k 1.3×	649 0.7×	143	6.3k
Axel Petzold United Kingdom	58	4.4k 1.6×	3.1k 2.2×	2.6k 1.8×	5.7k 4.4×	1.4k 1.6×	287	13.4k
Sven Schippling Germany	39	3.0k 1.1×	737 0.5×	1.4k 1.0×	1.4k 1.1×	777 0.9×	117	5.8k
Helmut Butzkueven Australia	42	4.3k 1.6×	1.1k 0.7×	222 0.2×	1.6k 1.2×	586 0.7×	295	7.2k
Gordon T. Plant United Kingdom	56	3.7k 1.3×	2.2k 1.5×	2.4k 1.7×	3.1k 2.4×	1.1k 1.3×	246	9.7k
Jaume Sastre‐Garriga Spain	45	5.3k 1.9×	809 0.6×	327 0.2×	2.3k 1.8×	584 0.7×	169	6.8k

Countries citing papers authored by Ari Green

Since Specialization

Citations

This map shows the geographic impact of Ari Green's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ari Green with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ari Green more than expected).

Fields of papers citing papers by Ari Green

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ari Green. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ari Green. The network helps show where Ari Green may publish in the future.

Co-authorship network of co-authors of Ari Green

This figure shows the co-authorship network connecting the top 25 collaborators of Ari Green. A scholar is included among the top collaborators of Ari Green based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ari Green. Ari Green is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Saidha, Shiv, Ari Green, Letizia Leocani, et al.. (2025). The use of optical coherence tomography and visual evoked potentials in the 2024 McDonald diagnostic criteria for multiple sclerosis. The Lancet Neurology. 24(10). 880–892. 1 indexed citations

Shen, Xin, Eduardo Caverzasi, Yang Yang, et al.. (2024). 3D balanced SSFP UTE MRI for multiple contrasts whole brain imaging. Magnetic Resonance in Medicine. 92(2). 702–714. 3 indexed citations

Duncan, Greg J., Christian Cordano, Ahmed Abdelhak, et al.. (2024). Remyelination protects neurons from DLK-mediated neurodegeneration. Nature Communications. 15(1). 9148–9148. 14 indexed citations

Caverzasi, Eduardo, Nico Papinutto, Christian Cordano, et al.. (2023). MWF of the corpus callosum is a robust measure of remyelination: Results from the ReBUILD trial. Proceedings of the National Academy of Sciences. 120(20). e2217635120–e2217635120. 29 indexed citations

Abdelhak, Ahmed, Matteo Foschi, Samir Abu‐Rumeileh, et al.. (2022). Blood GFAP as an emerging biomarker in brain and spinal cord disorders. Nature Reviews Neurology. 18(3). 158–172. 427 indexed citations breakdown →

Elahi, Fanny M., Daniel J. Bennett, Samantha Walters, et al.. (2021). Retinal imaging demonstrates reduced capillary density in clinically unimpaired APOE ε4 gene carriers. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 13(1). e12181–e12181. 20 indexed citations

Cruz-Herranz, Andrés, Frederike Cosima Oertel, Kicheol Kim, et al.. (2021). Distinctive waves of innate immune response in the retina in experimental autoimmune encephalomyelitis. JCI Insight. 6(11). 16 indexed citations

Petzold, Axel, Philipp Albrecht, Laura J. Balcer, et al.. (2021). Artificial intelligence extension of the OSCAR‐IB criteria. Annals of Clinical and Translational Neurology. 8(7). 1528–1542. 26 indexed citations

Dietrich, Michael, Christina Hecker, Alexander Hilla, et al.. (2019). Using Optical Coherence Tomography and Optokinetic Response As Structural and Functional Visual System Readouts in Mice and Rats. Journal of Visualized Experiments. 1 indexed citations

10.

Cruz-Herranz, Andrés, Michael Dietrich, Alexander Hilla, et al.. (2019). Monitoring retinal changes with optical coherence tomography predicts neuronal loss in experimental autoimmune encephalomyelitis. Journal of Neuroinflammation. 16(1). 203–203. 32 indexed citations

11.

Rankin, Kelsey A., Feng Mei, Kicheol Kim, et al.. (2019). Selective Estrogen Receptor Modulators Enhance CNS Remyelination Independent of Estrogen Receptors. Journal of Neuroscience. 39(12). 2184–2194. 52 indexed citations

12.

Himmelstein, Daniel, Antoine Lizée, Christine Hessler, et al.. (2017). Systematic integration of biomedical knowledge prioritizes drugs for repurposing. eLife. 6. 305 indexed citations

13.

Chahin, Salim, Deborah Miller, James Wilson, et al.. (2015). Relation of quantitative visual and neurologic outcomes to fatigue in multiple sclerosis. Multiple Sclerosis and Related Disorders. 4(4). 304–310. 17 indexed citations

14.

Zayit‐Soudry, Shiri, et al.. (2014). High-resolution assessment of cone photoreceptor structure in patients with multiple sclerosis. Investigative Ophthalmology & Visual Science. 55(13). 1589–1589. 1 indexed citations

15.

Oakley, Jonathan D., et al.. (2014). Assessing Manual versus Automated Segmentation of the Macula using Optical Coherence Tomography. Investigative Ophthalmology & Visual Science. 55(13). 4790–4790. 6 indexed citations

16.

Waubant, Emmanuelle, Amir‐Hadi Maghzi, Rebecca Spain, et al.. (2014). A Phase II Trial Of Neuroprotection With Riluzole In Early Relapsing-Remitting MS: Lessons For Future Neuroprotection Trials (P5.017). Neurology. 82(10_supplement). 1 indexed citations

17.

Mei, Feng, Stephen P.J. Fancy, Yun‐An Shen, et al.. (2014). Micropillar arrays as a high-throughput screening platform for therapeutics in multiple sclerosis. Nature Medicine. 20(8). 954–960. 432 indexed citations breakdown →

18.

Tewarie, Prejaas, Lisanne J. Balk, Fiona Costello, et al.. (2012). The OSCAR-IB Consensus Criteria for Retinal OCT Quality Assessment. PLoS ONE. 7(4). e34823–e34823. 430 indexed citations breakdown →

19.

Gelfand, Jeffrey M., Jacque L. Duncan, Leslie A. Gillum, et al.. (2010). Heterogeneous patterns of tissue injury in NARP syndrome. Journal of Neurology. 258(3). 440–448. 42 indexed citations

20.

Chabas, Dorothée, Ari Green, & Emmanuelle Waubant. (2006). Pediatric multiple sclerosis. PubMed. 3(2). 264–275. 27 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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