Saif Huda

2.6k total citations
56 papers, 1.0k citations indexed

About

Saif Huda is a scholar working on Neurology, Pathology and Forensic Medicine and Rheumatology. According to data from OpenAlex, Saif Huda has authored 56 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Neurology, 28 papers in Pathology and Forensic Medicine and 10 papers in Rheumatology. Recurrent topics in Saif Huda's work include Multiple Sclerosis Research Studies (27 papers), Peripheral Neuropathies and Disorders (26 papers) and Myasthenia Gravis and Thymoma (13 papers). Saif Huda is often cited by papers focused on Multiple Sclerosis Research Studies (27 papers), Peripheral Neuropathies and Disorders (26 papers) and Myasthenia Gravis and Thymoma (13 papers). Saif Huda collaborates with scholars based in United Kingdom, United States and Australia. Saif Huda's co-authors include Angela Vincent, Anu Jacob, Mark Woodhall, Jayne L. Chamberlain, Rachel Kneen, Dan Whittam, Pedro M. Rodríguez Cruz, Maneesh Bhojak, Carmel Noonan and Daniel Whittam and has published in prestigious journals such as Annals of the New York Academy of Sciences, Journal of Neurology Neurosurgery & Psychiatry and Experimental Neurology.

In The Last Decade

Saif Huda

51 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saif Huda United Kingdom 18 795 382 186 120 86 56 1.0k
Giovanni Novi Italy 14 360 0.5× 315 0.8× 200 1.1× 53 0.4× 102 1.2× 28 682
Adrian Budhram Canada 15 755 0.9× 298 0.8× 88 0.5× 162 1.4× 55 0.6× 85 971
Amy Kunchok United States 16 807 1.0× 517 1.4× 71 0.4× 227 1.9× 84 1.0× 47 1.0k
Leslie Benson United States 12 650 0.8× 585 1.5× 80 0.4× 214 1.8× 90 1.0× 23 964
Élisabeth Maillart France 17 439 0.6× 693 1.8× 86 0.5× 175 1.5× 139 1.6× 100 1.0k
Giulia Fadda Canada 13 449 0.6× 547 1.4× 57 0.3× 160 1.3× 69 0.8× 33 784
Edgar Carnero Contentti Argentina 17 465 0.6× 732 1.9× 52 0.3× 214 1.8× 127 1.5× 91 957
Metha Apiwattanakul Thailand 12 651 0.8× 655 1.7× 31 0.2× 214 1.8× 101 1.2× 44 900
Damien Biotti France 15 293 0.4× 287 0.8× 36 0.2× 95 0.8× 75 0.9× 61 606
Dorlan Kimbrough United States 12 232 0.3× 344 0.9× 41 0.2× 115 1.0× 80 0.9× 21 517

Countries citing papers authored by Saif Huda

Since Specialization
Citations

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

Fields of papers citing papers by Saif Huda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saif Huda

This figure shows the co-authorship network connecting the top 25 collaborators of Saif Huda. A scholar is included among the top collaborators of Saif Huda 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 Saif Huda. Saif Huda 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.
Rocchi, Chiara, et al.. (2025). Is a Benign Disease Course Possible in Untreated AQP4‐IgG NMOSD?. European Journal of Neurology. 32(3). e70049–e70049. 3 indexed citations
2.
Manzano, Giovanna S., Michaël Levy, Farrah J. Mateen, et al.. (2024). Assessment of international MOGAD diagnostic criteria in patients with overlapping MOG-associated disease and multiple sclerosis phenotypes. Journal of Neurology. 271(9). 6160–6171. 5 indexed citations
3.
Tallantyre, Emma, Patricia A. Kelly, Maria Isabel Leite, et al.. (2024). Impact of rituximab treatment regime on time to relapse in aquaporin-4 antibody positive neuromyelitis optica spectrum disorder. Multiple Sclerosis and Related Disorders. 85. 105528–105528.
4.
Brex, Peter, Bo Chen, Sarah Cooper, et al.. (2024). Study of seasonality of attacks in MOG antibody-associated disease. Multiple Sclerosis and Related Disorders. 90. 105814–105814. 1 indexed citations
5.
Cao, Michelangelo, Wei Wei Liu, Susan Maxwell, et al.. (2023). IgG1-3 MuSK Antibodies Inhibit AChR Cluster Formation, Restored by SHP2 Inhibitor, Despite Normal MuSK, DOK7, or AChR Subunit Phosphorylation. Neurology Neuroimmunology & Neuroinflammation. 10(6). 6 indexed citations
6.
Rocchi, Chiara, et al.. (2023). Do we still need OCBs in MS diagnosis and how many?. Multiple Sclerosis and Related Disorders. 79. 105035–105035. 1 indexed citations
7.
Rocchi, Chiara, Emily Gibbons, Mark Woodhall, et al.. (2023). Timing of MOG-IgG Testing Is Key to 2023 MOGAD Diagnostic Criteria. Neurology Neuroimmunology & Neuroinflammation. 11(1). 24 indexed citations
8.
Huda, Saif, et al.. (2023). Risks and outcomes of pregnancy in neuromyelitis optica spectrum disorder: A comprehensive review. Autoimmunity Reviews. 23(2). 103499–103499. 5 indexed citations
9.
Hughes, Dyfrig, et al.. (2022). Health utilities and costs for neuromyelitis optica spectrum disorder. Orphanet Journal of Rare Diseases. 17(1). 159–159. 11 indexed citations
10.
Huda, Saif, Daniel Whittam, Richard Jackson, et al.. (2021). Predictors of relapse in MOG antibody associated disease: a cohort study. BMJ Open. 11(11). e055392–e055392. 49 indexed citations
11.
Camera, Valentina, Silvia Messina, Romina Mariano, et al.. (2021). Early predictors of disability of paediatric-onset AQP4-IgG-seropositive neuromyelitis optica spectrum disorders. Journal of Neurology Neurosurgery & Psychiatry. 93(1). 101–111. 22 indexed citations
12.
Woodhall, Mark, et al.. (2020). Case Report: Myelin Oligodendrocyte Glycoprotein Antibody-Associated Relapse With COVID-19. Frontiers in Neurology. 11. 598531–598531. 23 indexed citations
13.
Kelly, Patricia, Daniel Whittam, Samantha Linaker, et al.. (2019). 11.30 Comparison of fixed high dose with variable low dose rituximab in neuromyelitis optica spectrum disorders. Journal of Neurology Neurosurgery & Psychiatry. 90(12). e9.2–e9. 1 indexed citations
14.
Chamberlain, Jayne L., Saif Huda, Daniel Whittam, et al.. (2019). Role of complement and potential of complement inhibitors in myasthenia gravis and neuromyelitis optica spectrum disorders: a brief review. Journal of Neurology. 268(5). 1643–1664. 24 indexed citations
15.
Huda, Saif, Dan Whittam, Maneesh Bhojak, et al.. (2019). Neuromyelitis optica spectrum disorders. Clinical Medicine. 19(2). 169–176. 163 indexed citations
16.
Cruz, Pedro M. Rodríguez, et al.. (2015). Use of cell-based assays in myasthenia gravis and other antibody-mediated diseases. Experimental Neurology. 270. 66–71. 45 indexed citations
17.
Huda, Saif, et al.. (2014). O'Sullivan–McLeod syndrome: clinical features, neuroradiology and nosology. British Journal of Hospital Medicine. 75(12). 712–713. 5 indexed citations
18.
19.
Huda, Saif, et al.. (2012). An unusual presentation of an epidermoid brain tumour: a tale of two specialties. BMJ Case Reports. 2012. bcr2012006546–bcr2012006546. 2 indexed citations
20.
Huda, Saif & Udo Wieshmann. (2012). Protracted neuroborreliosis – an unusual cause of encephalomyelitis. BMJ Case Reports. 2012. bcr1120115206–bcr1120115206. 4 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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