Long Han
Impact in
- Pharmacology top 10%
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- Silk-based biomaterials and applications
- Electrospun Nanofibers in Biomedical Applications
Papers in
- Surgery 9
- Knee injuries and reconstruction techniques 2
- Cardiovascular, Neuropeptides, and Oxidative Stress Research 2
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- Circular RNAs in diseases 2
- Co-authors
- Penghua Fang (7 shared papers)Nanwei Xu (3 shared papers)Zhenwen Zhang (5 shared papers)Mei Yu (4 shared papers)Shiyu Han (4 shared papers)Wenbin Shang (4 shared papers)Seo Hyun Yoon (1 shared paper)Zhenkun Wen (1 shared paper)
- Journals
- Phytomedicine (2 papers)World Neurosurgery (1 paper)Journal of Biomedical Nanotechnology (1 paper)Science of Advanced Materials (1 paper)Molecules (1 paper)
- Partner nations
- ChinaSouth KoreaMalaysia
In The Last Decade
Long Han
29 papers receiving 404 citations
Peers
Comparison fields: 5 of 93
- Pharmacology 56
- Biomaterials 61
- Molecular Medicine 18
- Pharmacology 47
- Cancer Research 41
Countries citing papers authored by Long Han
This map shows the geographic impact of Long Han'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 Long Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Long Han more than expected).
Fields of papers citing papers by Long Han
This network shows the impact of papers produced by Long Han. 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 Long Han. The network helps show where Long Han may publish in the future.
Co-authors
The 25 scholars most cited alongside Long Han, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 73 | |
| 2 | 2022 | 40 | |
| 3 | 2019 | 32 | |
| 4 | 2021 | 29 | |
| 5 | 2021 | 27 | |
| 6 | 2014 | 26 | |
| 7 | 2020 | 23 | |
| 8 | 2017 | 23 | |
| 9 | 2021 | 22 | |
| 10 | 2021 | 15 | |
| 11 | 2021 | 13 | |
| 12 | 2015 | 13 | |
| 13 | 2017 | 12 | |
| 14 | 2019 | 9 | |
| 15 | 2020 | 9 | |
| 16 | 2021 | 8 | |
| 17 | 2019 | 7 | |
| 18 | 2020 | 7 | |
| 19 | 2022 | 6 | |
| 20 | 2021 | 4 |
About Long Han
Long Han is a scholar working on Surgery, Molecular Biology, Epidemiology, Rheumatology and Physiology, having authored 31 papers that have together received 412 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (4 papers), Adipose Tissue and Metabolism (4 papers), Periodontal Regeneration and Treatments (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Silk-based biomaterials and applications (3 papers), Circular RNAs in diseases (2 papers), Knee injuries and reconstruction techniques (2 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (2 papers). The work is most often cited by research in Pharmacology (56 citations), Biomaterials (61 citations), Molecular Medicine (18 citations), Pharmacology (47 citations) and Cancer Research (41 citations). Long Han has collaborated with scholars based in China, South Korea and Malaysia. Frequent co-authors include Penghua Fang, Nanwei Xu, Zhenwen Zhang, Mei Yu, Shiyu Han, Wenbin Shang, Seo Hyun Yoon, Zhenkun Wen, Sung Vin Yim and Seon Pyo Hong. Their work appears in journals such as Phytomedicine, World Neurosurgery, Journal of Biomedical Nanotechnology, Science of Advanced Materials and Molecules.
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.