Hailing Tang
Impact in
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- Nanoparticle-Based Drug Delivery
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- Cancer Genomics and Diagnostics
Papers in
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- RNA Interference and Gene Delivery 8
- Advanced biosensing and bioanalysis techniques 3
- Oncology 6
- Co-authors
- Yuhong Xu (6 shared papers)Mengjie Rui (5 shared papers)Jianxing He (3 shared papers)Jinliang Peng (3 shared papers)Mingzhi Ye (2 shared papers)Mao Mao (2 shared papers)Qiuhua Deng (3 shared papers)Jilong Liu (2 shared papers)
In The Last Decade
Hailing Tang
23 papers receiving 415 citations
Peers
Comparison fields: 5 of 71
- Biomaterials 71
- Cancer Research 60
- Oncology 84
- Pulmonary and Respiratory Medicine 94
- Molecular Biology 193
Countries citing papers authored by Hailing Tang
This map shows the geographic impact of Hailing Tang'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 Hailing Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hailing Tang more than expected).
Fields of papers citing papers by Hailing Tang
This network shows the impact of papers produced by Hailing Tang. 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 Hailing Tang. The network helps show where Hailing Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hailing Tang, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 58 | |
| 2 | 2014 | 48 | |
| 3 | 2020 | 35 | |
| 4 | 2022 | 34 | |
| 5 | 2012 | 32 | |
| 6 | 2018 | 31 | |
| 7 | 2023 | 21 | |
| 8 | 2017 | 21 | |
| 9 | 2012 | 20 | |
| 10 | 2016 | 19 | |
| 11 | 2019 | 16 | |
| 12 | 2015 | 15 | |
| 13 | 2014 | 11 | |
| 14 | 2022 | 9 | |
| 15 | 2023 | 9 | |
| 16 | 2022 | 8 | |
| 17 | 2021 | 6 | |
| 18 | 2024 | 5 | |
| 19 | 2019 | 5 | |
| 20 | [Changes of BDNF expression in neurons in traumatic brain injury rats]. | 2012 | 5 |
About Hailing Tang
Hailing Tang is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Cancer Research and Biomaterials, having authored 25 papers that have together received 417 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (8 papers), Nanoparticle-Based Drug Delivery (4 papers), Nanoplatforms for cancer theranostics (4 papers), MicroRNA in disease regulation (3 papers), Lung Cancer Treatments and Mutations (3 papers), Advanced biosensing and bioanalysis techniques (3 papers), Liver Disease Diagnosis and Treatment (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). The work is most often cited by research in Biomaterials (71 citations), Cancer Research (60 citations), Oncology (84 citations), Pulmonary and Respiratory Medicine (94 citations) and Molecular Biology (193 citations). Hailing Tang has collaborated with scholars based in China, Denmark and Thailand. Frequent co-authors include Yuhong Xu, Mengjie Rui, Jianxing He, Jinliang Peng, Mingzhi Ye, Mao Mao, Qiuhua Deng, Jilong Liu, Xiaojing Chen and Ди Шао. Their work appears in journals such as Journal of Controlled Release, Molecular Pharmaceutics, Journal of Investigative Medicine, Medicine and Frontiers in Cellular and Infection Microbiology.
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.