Haining Tan
Impact in
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
- Equine top 10%
Papers in ⓘ
-
- Cancer, Hypoxia, and Metabolism 8
- Cell Biology 11
- Proteoglycans and glycosaminoglycans research 9
- Co-authors
- Fengshan Wang (18 shared papers)Yanna Cheng (4 shared papers)Xinke Zhang (3 shared papers)Jichao Cao (3 shared papers)Zhendong Wang (8 shared papers)Fengshan Wang (2 shared papers)Ting Zhao (2 shared papers)Chunhui Liu (3 shared papers)
- Journals
- Carbohydrate Polymers (7 papers)Journal of Biomedical Nanotechnology (3 papers)ACS Applied Materials & Interfaces (3 papers)International Journal of Biological Macromolecules (2 papers)Journal of Ethnopharmacology (2 papers)
- Partner nations
- ChinaSingaporeSouth Korea
In The Last Decade
Haining Tan
46 papers receiving 871 citations
Peers
Comparison fields: 5 of 108
- Biomaterials 134
- Equine 15
- Aquatic Science 52
- Cell Biology 99
- Molecular Biology 360
Countries citing papers authored by Haining Tan
This map shows the geographic impact of Haining Tan'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 Haining Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haining Tan more than expected).
Fields of papers citing papers by Haining Tan
This network shows the impact of papers produced by Haining Tan. 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 Haining Tan. The network helps show where Haining Tan may publish in the future.
Co-authors
The 25 scholars most cited alongside Haining Tan, 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 51 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 91 | |
| 2 | 2009 | 91 | |
| 3 | 2015 | 58 | |
| 4 | 2014 | 45 | |
| 5 | 2021 | 44 | |
| 6 | 2019 | 41 | |
| 7 | 2015 | 34 | |
| 8 | 2020 | 34 | |
| 9 | 2009 | 31 | |
| 10 | 2019 | 27 | |
| 11 | 2018 | 25 | |
| 12 | 2015 | 24 | |
| 13 | 2023 | 21 | |
| 14 | 2012 | 20 | |
| 15 | 2018 | 19 | |
| 16 | 2008 | 17 | |
| 17 | 2016 | 17 | |
| 18 | 2008 | 16 | |
| 19 | 2020 | 16 | |
| 20 | 2023 | 14 |
About Haining Tan
Haining Tan is a scholar working on Cancer Research, Cell Biology, Equine, Biomaterials and Developmental Neuroscience, having authored 51 papers that have together received 888 indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (14 papers), Proteoglycans and glycosaminoglycans research (9 papers), Cancer, Hypoxia, and Metabolism (8 papers), Nanoplatforms for cancer theranostics (7 papers), Spine and Intervertebral Disc Pathology (5 papers), Glycosylation and Glycoproteins Research (5 papers), Nanoparticle-Based Drug Delivery (4 papers) and Hepatocellular Carcinoma Treatment and Prognosis (3 papers). The work is most often cited by research in Biomaterials (134 citations), Equine (15 citations), Aquatic Science (52 citations), Cell Biology (99 citations) and Molecular Biology (360 citations). Haining Tan has collaborated with scholars based in China, Singapore and South Korea. Frequent co-authors include Fengshan Wang, Yanna Cheng, Xinke Zhang, Jichao Cao, Zhendong Wang, Fengshan Wang, Ting Zhao, Chunhui Liu, Feng Sun and Yuhong Liu. Their work appears in journals such as Carbohydrate Polymers, Journal of Biomedical Nanotechnology, ACS Applied Materials & Interfaces, International Journal of Biological Macromolecules and Journal of Ethnopharmacology.
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.