Daniel Yerly
Impact in
- Pharmacology top 0.5%
- Drug-Induced Adverse Reactions
- Drug-Induced Hepatotoxicity and Protection
- Rheumatology top 2%
- Urticaria and Related Conditions
Papers in
- Pharmacology 21
- Drug-Induced Adverse Reactions 21
- Immunology 11
- Mast cells and histamine 6
- T-cell and B-cell Immunology 3
- Co-authors
- Werner J. Pichler (22 shared papers)Jacqueline Adam (8 shared papers)Stefano Fontana (7 shared papers)James Yun (4 shared papers)Klara Eriksson (4 shared papers)Christoph Schlapbach (7 shared papers)Nikhil Yawalkar (6 shared papers)Peter M. Villiger (4 shared papers)
- Journals
- Allergy (6 papers)The Journal of Immunology (3 papers)Lara D. Veeken (2 papers)Allergology International (2 papers)British Journal of Clinical Pharmacology (1 paper)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Daniel Yerly
38 papers receiving 1.6k citations
Peers
Comparison fields: 5 of 76
- Pharmacology 865
- Rheumatology 424
- Dermatology 253
- Toxicology 68
- Immunology and Allergy 114
Countries citing papers authored by Daniel Yerly
This map shows the geographic impact of Daniel Yerly'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 Yerly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Yerly more than expected).
Fields of papers citing papers by Daniel Yerly
This network shows the impact of papers produced by Daniel Yerly. 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 Yerly. The network helps show where Daniel Yerly may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Yerly, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 131 | |
| 2 | 2010 | 125 | |
| 3 | 2013 | 99 | |
| 4 | 2019 | 97 | |
| 5 | 2010 | 95 | |
| 6 | 2013 | 89 | |
| 7 | 2012 | 81 | |
| 8 | 2015 | 71 | |
| 9 | 2009 | 69 | |
| 10 | 2012 | 68 | |
| 11 | 2019 | 68 | |
| 12 | 2014 | 65 | |
| 13 | 2014 | 60 | |
| 14 | 2018 | 54 | |
| 15 | 2008 | 47 | |
| 16 | 2017 | 46 | |
| 17 | 2018 | 43 | |
| 18 | 2017 | 42 | |
| 19 | 2011 | 40 | |
| 20 | 2018 | 36 |
About Daniel Yerly
Daniel Yerly is a scholar working on Pharmacology, Immunology, Rheumatology, Radiology, Nuclear Medicine and Imaging and Hepatology, having authored 40 papers that have together received 1.6k indexed citations. Recurring topics across this work include Drug-Induced Adverse Reactions (21 papers), Mast cells and histamine (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Hepatitis C virus research (5 papers), Urticaria and Related Conditions (5 papers), T-cell and B-cell Immunology (3 papers), Autoimmune Bullous Skin Diseases (3 papers) and Vasculitis and related conditions (2 papers). The work is most often cited by research in Pharmacology (865 citations), Rheumatology (424 citations), Dermatology (253 citations), Toxicology (68 citations) and Immunology and Allergy (114 citations). Daniel Yerly has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Werner J. Pichler, Jacqueline Adam, Stefano Fontana, James Yun, Klara Eriksson, Christoph Schlapbach, Nikhil Yawalkar, Peter M. Villiger, Robert E. Hunger and Stephan Krähenbühl. Their work appears in journals such as Allergy, The Journal of Immunology, Lara D. Veeken, Allergology International and British Journal of Clinical Pharmacology.
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.