Daniel Wynn
- Pathology and Forensic Medicine top 0.2%
- Multiple Sclerosis Research Studies 44
- Neurology top 1%
- Peripheral Neuropathies and Disorders 10
- Parkinson's Disease Mechanisms and Treatments 4
- Rheumatology top 1%
- Rheumatoid Arthritis Research and Therapies 5
- Immunology top 5%
- Immunotherapy and Immune Responses 7
- Oncology top 2%
- Polyomavirus and related diseases 7
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- Autoimmune and Inflammatory Disorders Research 8
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- Monoclonal and Polyclonal Antibodies Research 5
- Co-authors
- Peter A. CalabresiFrances LynnChristian ConfavreuxFred LublinSteven GalettaMichael PanzaraRichard A. RudickWilliam H. Stuart
- Journals
- Neurology (14 papers)Multiple Sclerosis and Related Disorders (5 papers)Multiple Sclerosis Journal (4 papers)
- Partner nations
- United StatesGermanyPoland
In The Last Decade
Daniel Wynn
48 papers receiving 3.5k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Pathology and Forensic Medicine 2.7k
- Neurology 1.1k
- Rheumatology 653
- Immunology 792
- Oncology 1.0k
Countries citing papers authored by Daniel Wynn
This map shows the geographic impact of Daniel Wynn'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 Daniel Wynn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Wynn more than expected).
Fields of papers citing papers by Daniel Wynn
This network shows the impact of papers produced by Daniel Wynn. 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 Daniel Wynn. The network helps show where Daniel Wynn may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Wynn, 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 | 2024 | 4 | |
| 2 | 2024 | 1 | |
| 3 | 2022 | 1 | |
| 4 | 2022 | 3 | |
| 5 | 2022 | 1 | |
| 6 | 2016 | 0 | |
| 7 | 2015 | 1 | |
| 8 | 2015 | 3 | |
| 9 | 2015 | 50 | |
| 10 | 2014 | 66 | |
| 11 | 2012 | 80 | |
| 12 | 2012 | 5 | |
| 13 | 2011 | 31 | |
| 14 | 2010 | 147 | |
| 15 | 2010 | 43 | |
| 16 | 2010 | 42 | |
| 17 | 2009 | 407 | |
| 18 | 2008 | 39 | |
| 19 | 2007 | 236 | |
| 20 | 2006 | 126 |
About Daniel Wynn
Daniel Wynn is a scholar working on Pathology and Forensic Medicine, Neurology, Hematology, Immunology and Rheumatology, having authored 50 papers that have together received 3.6k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (44 papers), Peripheral Neuropathies and Disorders (10 papers), Autoimmune and Inflammatory Disorders Research (8 papers), Polyomavirus and related diseases (7 papers), Immunotherapy and Immune Responses (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Rheumatoid Arthritis Research and Therapies (5 papers) and Parkinson's Disease Mechanisms and Treatments (4 papers). The work is most often cited by research in Pathology and Forensic Medicine (2.7k citations), Neurology (1.1k citations), Rheumatology (653 citations), Immunology (792 citations) and Oncology (1.0k citations). Daniel Wynn has collaborated with scholars based in United States, Germany and Poland. Frequent co-authors include Peter A. Calabresi, Frances Lynn, Christian Confavreux, Fred Lublin, Steven Galetta, Michael Panzara, Richard A. Rudick, William H. Stuart, Bianca Weinstock‐Guttman and Alfred Sandrock. Their work appears in journals such as Neurology, Multiple Sclerosis and Related Disorders, Multiple Sclerosis Journal, Annals of Neurology and Journal of the Neurological Sciences.
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.