Erle Dang
Impact in
- Dermatology top 0.5%
- Dermatology and Skin Diseases
- Immunology top 2%
- Psoriasis: Treatment and Pathogenesis
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
Papers in
- Immunology 53
- Psoriasis: Treatment and Pathogenesis 32
- IL-33, ST2, and ILC Pathways 7
- Dermatology 33
- Dermatology and Skin Diseases 22
- Co-authors
- Gang Wang (85 shared papers)Hui Fang (31 shared papers)Shuai Shao (39 shared papers)Liang Jin (11 shared papers)Pei Qiao (28 shared papers)Luting Yang (11 shared papers)Jieyu Zhang (19 shared papers)Bing Li (14 shared papers)
- Journals
- Journal of Investigative Dermatology (26 papers)Experimental Dermatology (8 papers)Journal of Dermatological Science (7 papers)The FASEB Journal (5 papers)British Journal of Dermatology (4 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Erle Dang
102 papers receiving 2.7k citations
Peers
Comparison fields: 5 of 106
- Dermatology 671
- Immunology 1.2k
- Pathology and Forensic Medicine 292
- Genetics 164
- Rheumatology 223
Countries citing papers authored by Erle Dang
This map shows the geographic impact of Erle Dang'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 Erle Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erle Dang more than expected).
Fields of papers citing papers by Erle Dang
This network shows the impact of papers produced by Erle Dang. 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 Erle Dang. The network helps show where Erle Dang may publish in the future.
Co-authors
The 25 scholars most cited alongside Erle Dang, 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 109 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 156 | |
| 2 | 2017 | 134 | |
| 3 | 2019 | 128 | |
| 4 | 2011 | 128 | |
| 5 | 2017 | 104 | |
| 6 | 2019 | 90 | |
| 7 | 2013 | 87 | |
| 8 | 2019 | 82 | |
| 9 | 2015 | 81 | |
| 10 | 2012 | 73 | |
| 11 | 2017 | 69 | |
| 12 | 2021 | 65 | |
| 13 | 2020 | 64 | |
| 14 | 2017 | 64 | |
| 15 | 2019 | 63 | |
| 16 | 2013 | 59 | |
| 17 | 2019 | 54 | |
| 18 | 2020 | 50 | |
| 19 | 2020 | 49 | |
| 20 | 2018 | 49 |
About Erle Dang
Erle Dang is a scholar working on Immunology, Dermatology, Molecular Biology, Pathology and Forensic Medicine and Genetics, having authored 109 papers that have together received 2.7k indexed citations. Recurring topics across this work include Psoriasis: Treatment and Pathogenesis (32 papers), Dermatology and Skin Diseases (22 papers), Autoimmune Bullous Skin Diseases (17 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (10 papers), Skin and Cellular Biology Research (9 papers), Urticaria and Related Conditions (8 papers), IL-33, ST2, and ILC Pathways (7 papers) and Asthma and respiratory diseases (6 papers). The work is most often cited by research in Dermatology (671 citations), Immunology (1.2k citations), Pathology and Forensic Medicine (292 citations), Genetics (164 citations) and Rheumatology (223 citations). Erle Dang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Gang Wang, Hui Fang, Shuai Shao, Liang Jin, Pei Qiao, Luting Yang, Jieyu Zhang, Bing Li, Hongjiang Qiao and Qingyang Li. Their work appears in journals such as Journal of Investigative Dermatology, Experimental Dermatology, Journal of Dermatological Science, The FASEB Journal and British Journal 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.