Hai Long
Impact in
- Rheumatology top 0.5%
- Systemic Lupus Erythematosus Research
- Urticaria and Related Conditions
- Rheumatoid Arthritis Research and Therapies
- Health Informatics top 5%
Papers in
- Rheumatology 45
- Systemic Lupus Erythematosus Research 36
- Urticaria and Related Conditions 8
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- Dermatology and Skin Diseases 4
- Co-authors
- Ming Zhao (27 shared papers)Qianjin Lu (26 shared papers)Qianjin Lu (18 shared papers)Heng Yin (9 shared papers)Sha Zhao (6 shared papers)Haijing Wu (20 shared papers)Yunsheng Liang (3 shared papers)Yu Wang (2 shared papers)
- Journals
- Journal of Autoimmunity (6 papers)Clinical Reviews in Allergy & Immunology (6 papers)Clinical Immunology (4 papers)British Journal of Dermatology (3 papers)Journal of the European Academy of Dermatology and Venereology (3 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Hai Long
73 papers receiving 3.2k citations
Peers
Comparison fields: 5 of 110
- Rheumatology 1.2k
- Health Informatics 53
- Dermatology 173
- Immunology 409
- Cancer Research 200
Countries citing papers authored by Hai Long
This map shows the geographic impact of Hai Long'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 Hai Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hai Long more than expected).
Fields of papers citing papers by Hai Long
This network shows the impact of papers produced by Hai Long. 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 Hai Long. The network helps show where Hai Long may publish in the future.
Co-authors
The 25 scholars most cited alongside Hai Long, 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 320 | |
| 2 | 2009 | 215 | |
| 3 | 2012 | 176 | |
| 4 | 2016 | 158 | |
| 5 | 2018 | 133 | |
| 6 | 2015 | 122 | |
| 7 | 2022 | 113 | |
| 8 | 2019 | 106 | |
| 9 | 2010 | 104 | |
| 10 | 2018 | 103 | |
| 11 | 2020 | 101 | |
| 12 | 2009 | 91 | |
| 13 | 2011 | 78 | |
| 14 | 2018 | 75 | |
| 15 | 2013 | 74 | |
| 16 | 2016 | 74 | |
| 17 | 2021 | 72 | |
| 18 | 2022 | 69 | |
| 19 | 2009 | 56 | |
| 20 | 2020 | 56 |
About Hai Long
Hai Long is a scholar working on Rheumatology, Dermatology, Immunology, Pathology and Forensic Medicine and Physiology, having authored 77 papers that have together received 3.2k indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (36 papers), Urticaria and Related Conditions (8 papers), T-cell and B-cell Immunology (5 papers), Dermatology and Skin Diseases (4 papers), Cutaneous Melanoma Detection and Management (4 papers), Epigenetics and DNA Methylation (4 papers), Autoimmune Bullous Skin Diseases (3 papers) and Asthma and respiratory diseases (2 papers). The work is most often cited by research in Rheumatology (1.2k citations), Health Informatics (53 citations), Dermatology (173 citations), Immunology (409 citations) and Cancer Research (200 citations). Hai Long has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Ming Zhao, Qianjin Lu, Qianjin Lu, Heng Yin, Sha Zhao, Haijing Wu, Yunsheng Liang, Yu Wang, Shu Ding and Wei Liao. Their work appears in journals such as Journal of Autoimmunity, Clinical Reviews in Allergy & Immunology, Clinical Immunology, British Journal of Dermatology and Journal of the European Academy of Dermatology and Venereology.
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.