Norman Wasel
- Immunology top 1%
- Dermatology top 0.5%
- Rheumatology top 2%
- Pathology and Forensic Medicine top 5%
- Physiology top 10%
- Co-authors
- Kim PappRichard G. LangleyStephen K. TyringL. PuigTsen‐Fang TsaiBoni E. ElewskiC.E.M. GriffithsHidemi Nakagawa
- Topics
- Psoriasis: Treatment and Pathogenesis (12 papers)Dermatology and Skin Diseases (9 papers)Autoimmune Bullous Skin Diseases (8 papers)
- Cited by
- DermatologyImmunologyRheumatology
- Partner nations
- CanadaUnited StatesSwitzerland
In The Last Decade
Norman Wasel
20 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Immunology 1.6k
- Dermatology 949
- Rheumatology 388
- Pathology and Forensic Medicine 330
- Physiology 303
Countries citing papers authored by Norman Wasel
This map shows the geographic impact of Norman Wasel'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 Norman Wasel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Norman Wasel more than expected).
Fields of papers citing papers by Norman Wasel
This network shows the impact of papers produced by Norman Wasel. 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 Norman Wasel. The network helps show where Norman Wasel may publish in the future.
Co-authorship network of co-authors of Norman Wasel
This figure shows the co-authorship network connecting the top 25 collaborators of Norman Wasel. A scholar is included among the top collaborators of Norman Wasel 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 Norman Wasel. Norman Wasel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 24 | |
| 2 | 61 | |
| 3 | 26 | |
| 4 | Secukinumab in Plaque Psoriasis — Results of Two Phase 3 Trialsbreakdown → | 1488 |
| 5 | Immune response to pneumococcus and tetanus toxoid in patients with moderate-to-severe psoriasis following long-term ustekinumab use. | 51 |
| 6 | Evaluating practice patterns for managing moderate to severe plaque psoriasis: role of the family physician. | 4 |
| 7 | 36 | |
| 8 | 84 | |
| 9 | 13 | |
| 10 | 1 | |
| 11 | 21 | |
| 12 | 61 | |
| 13 | 16 | |
| 14 | 21 | |
| 15 | 2 | |
| 16 | 7 | |
| 17 | 3 | |
| 18 | 6 | |
| 19 | Mutational analyses of Tay-Sachs disease: studies on Tay-Sachs carriers of French Canadian background living in New England. | 23 |
| 20 | 16 |
About Norman Wasel
Norman Wasel is a scholar working on Dermatology, Anatomy and Immunology, having authored 20 papers that have together received 2.0k indexed citations. Recurring topics across this work include Psoriasis: Treatment and Pathogenesis (12 papers), Dermatology and Skin Diseases (9 papers) and Autoimmune Bullous Skin Diseases (8 papers). The work is most often cited by research in Dermatology (949 citations), Immunology (1.6k citations) and Rheumatology (388 citations). Norman Wasel has collaborated with scholars based in Canada, United States and Switzerland. Frequent co-authors include Kim Papp, Richard G. Langley, Stephen K. Tyring, L. Puig, Tsen‐Fang Tsai, Boni E. Elewski, C.E.M. Griffiths, Hidemi Nakagawa, Kristian Reich and Mark Lebwohl. Their work appears in journals such as New England Journal of Medicine, The Lancet and Journal of the American Academy of Dermatology.
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.