Haijun Tian
Impact in
- Rheumatology top 2%
- Urticaria and Related Conditions
- Spondyloarthritis Studies and Treatments
- Dermatology top 2%
- Dermatology and Skin Diseases
Papers in
- Rheumatology 22
- Spondyloarthritis Studies and Treatments 11
- Urticaria and Related Conditions 8
- Rheumatoid Arthritis Research and Therapies 6
- Immunology 17
- Psoriasis: Treatment and Pathogenesis 16
- Co-authors
- Maria‐Magdalena BalpJeffrey VietriG. IsherwoodHuanxue ZhouH. Michael ArrighiSteven HassMelony E. SorberoLisa R. Shugarman
- Journals
- Journal of Dermatological Treatment (4 papers)Journal of Managed Care & Specialty Pharmacy (2 papers)ClinicoEconomics and Outcomes Research (2 papers)Dermatology and Therapy (2 papers)Alzheimer Disease & Associated Disorders (2 papers)
- Partner nations
- United StatesSwitzerlandUnited Kingdom
In The Last Decade
Haijun Tian
50 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 104
- Rheumatology 542
- Dermatology 233
- Immunology 374
- Genetics 170
- Pathology and Forensic Medicine 275
Countries citing papers authored by Haijun Tian
This map shows the geographic impact of Haijun Tian'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 Haijun Tian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haijun Tian more than expected).
Fields of papers citing papers by Haijun Tian
This network shows the impact of papers produced by Haijun Tian. 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 Haijun Tian. The network helps show where Haijun Tian may publish in the future.
Co-authors
The 25 scholars most cited alongside Haijun Tian, 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 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 26 | |
| 5 | 2022 | 9 | |
| 6 | 2021 | 33 | |
| 7 | 2019 | 16 | |
| 8 | 2018 | 51 | |
| 9 | 2018 | 20 | |
| 10 | 2018 | 50 | |
| 11 | 2017 | 44 | |
| 12 | 2015 | 149 | |
| 13 | 2015 | 102 | |
| 14 | 2015 | 62 | |
| 15 | 2014 | 29 | |
| 16 | 2014 | 13 | |
| 17 | 2013 | 27 | |
| 18 | 2012 | 18 | |
| 19 | 2012 | 15 | |
| 20 | 2011 | 10 |
About Haijun Tian
Haijun Tian is a scholar working on Rheumatology, Immunology, Dermatology, Pathology and Forensic Medicine and Genetics, having authored 52 papers that have together received 1.5k indexed citations. Recurring topics across this work include Psoriasis: Treatment and Pathogenesis (16 papers), Spondyloarthritis Studies and Treatments (11 papers), Urticaria and Related Conditions (8 papers), Dermatology and Skin Diseases (7 papers), Health Systems, Economic Evaluations, Quality of Life (6 papers), Rheumatoid Arthritis Research and Therapies (6 papers), Autoimmune Bullous Skin Diseases (6 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (5 papers). The work is most often cited by research in Rheumatology (542 citations), Dermatology (233 citations), Immunology (374 citations), Genetics (170 citations) and Pathology and Forensic Medicine (275 citations). Haijun Tian has collaborated with scholars based in United States, Switzerland and United Kingdom. Frequent co-authors include Maria‐Magdalena Balp, Jeffrey Vietri, G. Isherwood, Huanxue Zhou, H. Michael Arrighi, Steven Hass, Melony E. Sorbero, Lisa R. Shugarman, Arvind Kumar Jain and J. Scott Ashwood. Their work appears in journals such as Journal of Dermatological Treatment, Journal of Managed Care & Specialty Pharmacy, ClinicoEconomics and Outcomes Research, Dermatology and Therapy and Alzheimer Disease & Associated Disorders.
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.