Daniel Wynn

49 papers receiving 3.6k citations

Daniel Wynn's Hit Papers

Ublituximab versus Teriflunomide in Relapsing Multiple Sclerosis 2022 · 127 citations
1270+6+13Years since publication2505007501000

Peers

Daniel Wynn
Comparison fields: 5 of 113
  • Pathology and Forensic Medicine 2.7k
  • Neurology 883
  • Immunology 685
  • Rheumatology 434
  • Oncology 751
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Countries citing papers authored by Daniel Wynn

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Daniel Wynn Line = papers co-authored together Daniel Wynn links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 51 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Natalizumab plus Interferon Beta-1a for Relapsing Multiple Sclerosis
Hit paper breakdown →
20061031
2
Effect of glatiramer acetate on conversion to clinically definite multiple sclerosis in patients with clinically isolated syndrome (PreCISe study): a randomised, double-blind, placebo-controlled trial
Hit paper breakdown →
2009438
3 2007262
4 2010245
5 2009190
6 2010161
7 1990161
8 2006140
9
Ublituximab versus Teriflunomide in Relapsing Multiple Sclerosis
Hit paper breakdown →
2022127
10 2011103
11 201094
12 200483
13 201281
14 201466
15 201062
16 201553
17 201052
18 201047
19 201043
20 201141

About Daniel Wynn

Daniel Wynn is a scholar working on Pathology and Forensic Medicine, Neurology, Hematology, Oncology and Immunology, having authored 51 papers that have together received 3.8k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (38 papers), Autoimmune and Inflammatory Disorders Research (6 papers), Polyomavirus and related diseases (5 papers), Systemic Sclerosis and Related Diseases (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Peripheral Neuropathies and Disorders (3 papers), T-cell and Retrovirus Studies (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (2.7k citations), Neurology (883 citations), Immunology (685 citations), Rheumatology (434 citations) and Oncology (751 citations). Daniel Wynn has collaborated with scholars based in United States, Germany and Poland. Frequent co-authors include Frances Lynn, Christian Confavreux, Steven Galetta, Fred Lublin, Peter A. Calabresi, Michael Panzara, Richard A. Rudick, Bianca Weinstock‐Guttman, William H. Stuart and Alfred Sandrock. Their work appears in journals such as Neurology, Multiple Sclerosis and Related Disorders, Multiple Sclerosis Journal, Journal of the Neurological Sciences and Annals 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.

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