Daniel Suissa
Impact in
- Dermatology top 5%
- Facial Rejuvenation and Surgery Techniques
- Rehabilitation top 10%
- Wound Healing and Treatments
Papers in
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- Wound Healing and Treatments 1
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- Hospital Admissions and Outcomes 1
- Co-authors
- Steven L. Teitelbaum (1 shared paper)Constantino G. Mendieta (1 shared paper)Denis Clement Astarita (1 shared paper)Mehrdad Mark Mofid (1 shared paper)Alain Michel Danino (1 shared paper)Andreas Nikolis (1 shared paper)Paul Brassard (2 shared papers)Samy Suissa (2 shared papers)
- Journals
- European Respiratory Journal (1 paper)The American Journal of Emergency Medicine (1 paper)Plastic & Reconstructive Surgery (1 paper)British Journal of Clinical Pharmacology (1 paper)Aesthetic Surgery Journal (1 paper)
- Partner nations
- CanadaUnited States
In The Last Decade
Daniel Suissa
7 papers receiving 338 citations
Peers
Comparison fields: 5 of 57
- Dermatology 83
- Rehabilitation 42
- Surgery 181
- Pharmacy 8
- Statistics, Probability and Uncertainty 17
Countries citing papers authored by Daniel Suissa
This map shows the geographic impact of Daniel Suissa'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 Suissa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Suissa more than expected).
Fields of papers citing papers by Daniel Suissa
This network shows the impact of papers produced by Daniel Suissa. 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 Suissa. The network helps show where Daniel Suissa may publish in the future.
Co-authors
The 15 scholars most cited alongside Daniel Suissa, 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 | 2017 | 195 | |
| 2 | 2011 | 70 | |
| 3 | 2011 | 67 | |
| 4 | 2008 | 29 | |
| 5 | 2012 | 20 | |
| 6 | 2014 | 13 | |
| 7 | 2007 | 1 |
About Daniel Suissa
Daniel Suissa is a scholar working on Rehabilitation, Emergency Medicine, Dermatology, Statistics, Probability and Uncertainty and Statistics and Probability, having authored 7 papers that have together received 395 indexed citations. Recurring topics across this work include Clostridium difficile and Clostridium perfringens research (1 paper), Hospital Admissions and Outcomes (1 paper), Nonmelanoma Skin Cancer Studies (1 paper), Statistical Methods in Epidemiology (1 paper), Wound Healing and Treatments (1 paper), Statistical Methods in Clinical Trials (1 paper), Cerebral Venous Sinus Thrombosis (1 paper) and Meta-analysis and systematic reviews (1 paper). The work is most often cited by research in Dermatology (83 citations), Rehabilitation (42 citations), Surgery (181 citations), Pharmacy (8 citations) and Statistics, Probability and Uncertainty (17 citations). Daniel Suissa has collaborated with scholars based in Canada and United States. Frequent co-authors include Steven L. Teitelbaum, Constantino G. Mendieta, Denis Clement Astarita, Mehrdad Mark Mofid, Alain Michel Danino, Andreas Nikolis, Paul Brassard, Samy Suissa, Brielan Smiechowski and Rafael S. Glikstein. Their work appears in journals such as European Respiratory Journal, The American Journal of Emergency Medicine, Plastic & Reconstructive Surgery, British Journal of Clinical Pharmacology and Aesthetic Surgery Journal.
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.