Eric Yang
Impact in
- Dermatology top 1%
- Dermatology and Skin Diseases
- Immunology top 10%
- Biosimilars and Bioanalytical Methods
- Psoriasis: Treatment and Pathogenesis
Papers in
- Dermatology 21
- Dermatology and Skin Diseases 16
- Immunology 23
- Psoriasis: Treatment and Pathogenesis 12
- Biosimilars and Bioanalytical Methods 11
- Co-authors
- Kristen M. Beck (20 shared papers)Wilson J. Liao (11 shared papers)Tina Bhutani (12 shared papers)Sahil Sekhon (9 shared papers)Isabelle M. Sanchez (10 shared papers)John Y. M. Koo (6 shared papers)Li Liang (2 shared papers)Aaron B. Stephan (1 shared paper)
- Journals
- Bioanalysis (10 papers)Journal of the American Academy of Dermatology (6 papers)American Journal of Clinical Dermatology (3 papers)Molecular Pain (2 papers)Dermatologic Therapy (2 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Eric Yang
66 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 116
- Dermatology 373
- Immunology 480
- Immunology and Allergy 101
- Pharmacology 132
- Oncology 234
Countries citing papers authored by Eric Yang
This map shows the geographic impact of Eric Yang'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 Eric Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eric Yang more than expected).
Fields of papers citing papers by Eric Yang
This network shows the impact of papers produced by Eric Yang. 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 Eric Yang. The network helps show where Eric Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside Eric Yang, 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 125 | |
| 2 | 2020 | 117 | |
| 3 | 2018 | 95 | |
| 4 | 2012 | 94 | |
| 5 | 2016 | 85 | |
| 6 | 2005 | 77 | |
| 7 | 2020 | 72 | |
| 8 | 2018 | 67 | |
| 9 | 2018 | 66 | |
| 10 | 2010 | 62 | |
| 11 | 2004 | 56 | |
| 12 | 2016 | 45 | |
| 13 | 2017 | 39 | |
| 14 | 2018 | 37 | |
| 15 | 2019 | 36 | |
| 16 | 2021 | 31 | |
| 17 | 2016 | 31 | |
| 18 | 2016 | 30 | |
| 19 | 2018 | 28 | |
| 20 | 2018 | 28 |
About Eric Yang
Eric Yang is a scholar working on Dermatology, Immunology, Immunology and Allergy, Physiology and Neurology, having authored 71 papers that have together received 1.6k indexed citations. Recurring topics across this work include Dermatology and Skin Diseases (16 papers), Psoriasis: Treatment and Pathogenesis (12 papers), Biosimilars and Bioanalytical Methods (11 papers), Biosensors and Analytical Detection (6 papers), Asthma and respiratory diseases (6 papers), Allergic Rhinitis and Sensitization (5 papers), Advanced Biosensing Techniques and Applications (5 papers) and Autoimmune Bullous Skin Diseases (4 papers). The work is most often cited by research in Dermatology (373 citations), Immunology (480 citations), Immunology and Allergy (101 citations), Pharmacology (132 citations) and Oncology (234 citations). Eric Yang has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Kristen M. Beck, Wilson J. Liao, Tina Bhutani, Sahil Sekhon, Isabelle M. Sanchez, John Y. M. Koo, Li Liang, Aaron B. Stephan, Hans‐Henning Kunz and Julian I. Schroeder. Their work appears in journals such as Bioanalysis, Journal of the American Academy of Dermatology, American Journal of Clinical Dermatology, Molecular Pain and Dermatologic Therapy.
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.