Martin Duddy
Impact in
-
- Multiple Sclerosis Research Studies
- Immunology top 2%
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune Response and Inflammation
Papers in
-
- Multiple Sclerosis Research Studies 27
- Neurology 16
- Peripheral Neuropathies and Disorders 12
- Co-authors
- Amit Bar‐OrAndrea AlterHarry AtkinsMasaaki NiinoHo Jin KimMark S. FreedmanJack P. AntelMark R. Baker
- Journals
- The Journal of Immunology (5 papers)Multiple Sclerosis and Related Disorders (3 papers)Multiple Sclerosis Journal (3 papers)Journal of Neurology Neurosurgery & Psychiatry (2 papers)Journal of Neurology (2 papers)
- Partner nations
- United KingdomCanadaGermany
In The Last Decade
Martin Duddy
40 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Pathology and Forensic Medicine 1.1k
- Immunology 1.0k
- Neurology 489
- Neurology 250
- Rheumatology 315
Countries citing papers authored by Martin Duddy
This map shows the geographic impact of Martin Duddy'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 Martin Duddy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Duddy more than expected).
Fields of papers citing papers by Martin Duddy
This network shows the impact of papers produced by Martin Duddy. 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 Martin Duddy. The network helps show where Martin Duddy may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Martin Duddy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 9 | |
| 2 | 2022 | 2 | |
| 3 | 2022 | 7 | |
| 4 | 2021 | 36 | |
| 5 | 2021 | 2 | |
| 6 | 2021 | 14 | |
| 7 | COVID-19 in people with MS: a large community-based study of the UK MS register | 2020 | 1 |
| 8 | 2018 | 25 | |
| 9 | 2016 | 61 | |
| 10 | 2014 | 71 | |
| 11 | 2014 | 24 | |
| 12 | Modelling natural history for the UK multiple sclerosis risk-sharing scheme | 2013 | 3 |
| 13 | 2012 | 1 | |
| 14 | 2011 | 24 | |
| 15 | 2006 | 1 | |
| 16 | 2004 | 163 | |
| 17 | 2004 | 60 | |
| 18 | 2003 | 159 | |
| 19 | 2001 | 104 | |
| 20 | 1999 | 27 |
About Martin Duddy
Martin Duddy is a scholar working on Pathology and Forensic Medicine, Neurology, Rheumatology, Immunology and Hematology, having authored 40 papers that have together received 2.2k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (27 papers), Peripheral Neuropathies and Disorders (12 papers), Immunotherapy and Immune Responses (7 papers), Polyomavirus and related diseases (5 papers), T-cell and B-cell Immunology (5 papers), Autoimmune and Inflammatory Disorders Research (4 papers), Systemic Lupus Erythematosus Research (4 papers) and Rheumatoid Arthritis Research and Therapies (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.1k citations), Immunology (1.0k citations), Neurology (489 citations), Neurology (250 citations) and Rheumatology (315 citations). Martin Duddy has collaborated with scholars based in United Kingdom, Canada and Germany. Frequent co-authors include Amit Bar‐Or, Andrea Alter, Harry Atkins, Masaaki Niino, Ho Jin Kim, Mark S. Freedman, Jack P. Antel, Mark R. Baker, Mervyn Armstrong and Jung Bin Kim. Their work appears in journals such as The Journal of Immunology, Multiple Sclerosis and Related Disorders, Multiple Sclerosis Journal, Journal of Neurology Neurosurgery & Psychiatry and Journal of Neurology.
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.