Stephen Reddel

7.5k total citations · 1 hit paper
118 papers, 3.7k citations indexed

About

Stephen Reddel is a scholar working on Neurology, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Stephen Reddel has authored 118 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Neurology, 32 papers in Pathology and Forensic Medicine and 22 papers in Molecular Biology. Recurrent topics in Stephen Reddel's work include Peripheral Neuropathies and Disorders (42 papers), Myasthenia Gravis and Thymoma (32 papers) and Multiple Sclerosis Research Studies (31 papers). Stephen Reddel is often cited by papers focused on Peripheral Neuropathies and Disorders (42 papers), Myasthenia Gravis and Thymoma (32 papers) and Multiple Sclerosis Research Studies (31 papers). Stephen Reddel collaborates with scholars based in Australia, United States and United Kingdom. Stephen Reddel's co-authors include Michael Barnett, William D. Phillips, Todd A. Hardy, Steven A. Krilis, Sudarshini Ramanathan, Nazanin Ghazanfari, Russell C. Dale, Marco Morsch, Fabienne Brilot and Steve Vucic and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and Blood.

In The Last Decade

Stephen Reddel

110 papers receiving 3.6k citations

Hit Papers

Clinical course, therapeu... 2017 2026 2020 2023 2017 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Stephen Reddel 1.8k 1.2k 847 707 526 118 3.7k
Christian Probst 1.7k 0.9× 1.0k 0.9× 680 0.8× 449 0.6× 337 0.6× 71 3.5k
W. Stöcker 1.3k 0.7× 844 0.7× 827 1.0× 459 0.6× 297 0.6× 114 3.4k
Kumaran Deiva 1.2k 0.6× 866 0.7× 321 0.4× 463 0.7× 207 0.4× 97 2.4k
David Margolin 1.1k 0.6× 2.8k 2.3× 831 1.0× 415 0.6× 214 0.4× 125 4.0k
Vesna Brinar 1.2k 0.7× 2.6k 2.2× 781 0.9× 326 0.5× 139 0.3× 99 3.5k
Markus Krumbholz 1.4k 0.8× 2.3k 1.9× 765 0.9× 1.5k 2.2× 343 0.7× 69 6.3k
Michel Clanet 1.3k 0.7× 1.7k 1.4× 689 0.8× 358 0.5× 178 0.3× 78 3.1k
Yael Hacohen 1.7k 0.9× 1.0k 0.9× 334 0.4× 277 0.4× 227 0.4× 95 2.4k
H.‐Christian von Büdingen 1.0k 0.6× 2.3k 1.9× 530 0.6× 729 1.0× 214 0.4× 54 4.2k
Jonathan B. Strober 677 0.4× 820 0.7× 204 0.2× 444 0.6× 224 0.4× 43 1.9k

Countries citing papers authored by Stephen Reddel

Since Specialization
Citations

This map shows the geographic impact of Stephen Reddel'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 Stephen Reddel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Reddel more than expected).

Fields of papers citing papers by Stephen Reddel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen Reddel. 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 Stephen Reddel. The network helps show where Stephen Reddel may publish in the future.

Co-authorship network of co-authors of Stephen Reddel

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Reddel. A scholar is included among the top collaborators of Stephen Reddel 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 Stephen Reddel. Stephen Reddel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Buzzard, Katherine, Anneke van der Walt, Helmut Butzkueven, et al.. (2025). MGBase: A Global, Observational Registry for Collaborative Research in Myasthenia Gravis. Muscle & Nerve. 72(3). 424–432. 2 indexed citations
2.
Reddel, Stephen, et al.. (2025). Lambert Eaton Myasthenic Syndrome. International review of neurobiology. 182. 227–251.
3.
Reddel, Stephen, et al.. (2025). Monitoring multiple sclerosis: digital and fluid phase biomarkers. Current Opinion in Neurology. 38(3). 243–248. 1 indexed citations
4.
Fraser, Clare L., et al.. (2024). Neuromuscular junction disorders: mimics and chameleons. Practical Neurology. 24(6). 467–477. 2 indexed citations
5.
Ramanathan, Sudarshini, et al.. (2024). Clinical and radiological characteristics and outcomes of patients with recurrent or relapsing tumefactive demyelination. Multiple Sclerosis and Related Disorders. 82. 105408–105408. 3 indexed citations
6.
Chan, Fiona, et al.. (2024). Induction cyclophosphamide with maintenance immunosuppression in high-risk myasthenia gravis: long-term follow-up and safety profile. Journal of Neurology Neurosurgery & Psychiatry. 95(12). 1096–1101. 1 indexed citations
7.
8.
Triplett, James, et al.. (2023). ACBD5‐related retinal dystrophy with leukodystrophy due to novel mutations in ACBD5 and with additional features including ovarian insufficiency. American Journal of Medical Genetics Part A. 194(2). 346–350. 5 indexed citations
9.
Stevanovski, Igor, Sara Negri, Melina Ellis, et al.. (2022). Long read sequencing overcomes challenges in the diagnosis of SORD neuropathy. Journal of the Peripheral Nervous System. 27(2). 120–126. 9 indexed citations
11.
Barnes, Stephanie L., Yuyi You, Ting Shen, et al.. (2021). Structural and functional markers of optic nerve damage in myelin oligodendrocyte glycoprotein antibody-associated optic neuritis. Multiple Sclerosis Journal - Experimental Translational and Clinical. 7(4). 3080426326–3080426326. 6 indexed citations
12.
Cheng, Allen, Helmut Butzkueven, Robb Wesselingh, et al.. (2021). Vaccinations in patients with multiple sclerosis: review and recommendations. The Medical Journal of Australia. 214(8). 350–350. 3 indexed citations
13.
Korsukewitz, Catharina, Stephen Reddel, Amit Bar‐Or, & Heinz Wiendl. (2020). Neurological immunotherapy in the era of COVID-19 — looking for consensus in the literature. Nature Reviews Neurology. 16(9). 493–505. 43 indexed citations
14.
Tea, Fiona, Deepti Pilli, Sudarshini Ramanathan, et al.. (2020). Effects of the Positive Threshold and Data Analysis on Human MOG Antibody Detection by Live Flow Cytometry. Frontiers in Immunology. 11. 119–119. 7 indexed citations
15.
Silsby, Matthew, Judith Spies, Joshua Barton, et al.. (2019). Investigation of tumefactive demyelination is associated with higher economic burden and more adverse events compared with conventional multiple sclerosis. Multiple Sclerosis and Related Disorders. 35. 104–107. 7 indexed citations
17.
Ramanathan, Sudarshini, Shekeeb S. Mohammad, Esther Tantsis, et al.. (2017). Clinical course, therapeutic responses and outcomes in relapsing MOG antibody-associated demyelination. Journal of Neurology Neurosurgery & Psychiatry. 89(2). 127–137. 390 indexed citations breakdown →
18.
Hardy, Todd A., Stephen Reddel, Michael Barnett, et al.. (2016). Atypical inflammatory demyelinating syndromes of the CNS. The Lancet Neurology. 15(9). 967–981. 97 indexed citations
19.
Nicholson, Garth A., Guy M. Lenk, Stephen Reddel, et al.. (2011). Distinctive genetic and clinical features of CMT4J: a severe neuropathy caused by mutations in the PI(3,5)P2 phosphatase FIG4. Brain. 134(7). 1959–1971. 96 indexed citations
20.
Sheng, Yonghua, Stephen Reddel, Herbert Herzog, et al.. (2001). Impaired Thrombin Generation in β2-Glycoprotein I Null Mice. Journal of Biological Chemistry. 276(17). 13817–13821. 65 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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