Haijun Tian
Impact in
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- Spine and Intervertebral Disc Pathology
- Pharmacology top 10%
- Musculoskeletal pain and rehabilitation
Papers in
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- Spine and Intervertebral Disc Pathology 23
- Spinal Cord Injury Research 3
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- TGF-β signaling in diseases 9
- Bone Metabolism and Diseases 6
- Co-authors
- Jie Zhao (16 shared papers)Tangjun Zhou (13 shared papers)Deyu Chen (5 shared papers)Samuel S. Murray (12 shared papers)Jeffrey C. Wang (14 shared papers)Chen Chen (8 shared papers)Michael D. Daubs (13 shared papers)Xiao Yang (7 shared papers)
- Journals
- The Spine Journal (6 papers)Spine (3 papers)ACS Nano (2 papers)Journal of Orthopaedic Research® (2 papers)European Spine Journal (2 papers)
- Partner nations
- ChinaUnited StatesBrazil
In The Last Decade
Haijun Tian
52 papers receiving 1.1k citations
Haijun Tian's Hit Papers
Peers
Comparison fields: 5 of 104
- Pathology and Forensic Medicine 322
- Pharmacology 120
- Surgery 274
- Rheumatology 78
- Biomaterials 72
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
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 90 | |
| 2 | 2021 | 58 | |
| 3 | 2008 | 57 | |
| 4 | Mitochondrial-Targeted Metal-Phenolic Nanoparticles to Attenuate Intervertebral Disc Degeneration: Alleviating Oxidative Stress and Mitochondrial Dysfunction Hit paper breakdown → | 2024 | 55 |
| 5 | 2009 | 49 | |
| 6 | 2016 | 45 | |
| 7 | 2018 | 44 | |
| 8 | 2020 | 41 | |
| 9 | 2019 | 40 | |
| 10 | 2014 | 39 | |
| 11 | 2018 | 35 | |
| 12 | 2008 | 33 | |
| 13 | 2017 | 31 | |
| 14 | 2013 | 29 | |
| 15 | 2019 | 26 | |
| 16 | 2012 | 25 | |
| 17 | 2021 | 24 | |
| 18 | 2021 | 23 | |
| 19 | 2015 | 21 | |
| 20 | 2016 | 21 |
About Haijun Tian
Haijun Tian is a scholar working on Pathology and Forensic Medicine, Molecular Biology, Surgery, Pharmacology and Rheumatology, having authored 55 papers that have together received 1.1k indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (23 papers), TGF-β signaling in diseases (9 papers), Musculoskeletal pain and rehabilitation (7 papers), Cervical and Thoracic Myelopathy (7 papers), Bone Metabolism and Diseases (6 papers), Spinal Cord Injury Research (3 papers), Spinal Fractures and Fixation Techniques (3 papers) and Stress Responses and Cortisol (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (322 citations), Pharmacology (120 citations), Surgery (274 citations), Rheumatology (78 citations) and Biomaterials (72 citations). Haijun Tian has collaborated with scholars based in China, United States and Brazil. Frequent co-authors include Jie Zhao, Tangjun Zhou, Deyu Chen, Samuel S. Murray, Jeffrey C. Wang, Chen Chen, Michael D. Daubs, Xiao Yang, Zhiqian Chen and Aimin Wu. Their work appears in journals such as The Spine Journal, Spine, ACS Nano, Journal of Orthopaedic Research® and European Spine Journal.
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.