Hexiao Tang
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
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- Cancer Cells and Metastasis
Papers in
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- RNA modifications and cancer 3
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- MicroRNA in disease regulation 4
- Cancer-related molecular mechanisms research 3
- Cancer, Hypoxia, and Metabolism 3
- Co-authors
- Yongde Liao (6 shared papers)Jinping Zhao (7 shared papers)Changyu Liu (3 shared papers)Liangkun You (3 shared papers)Zhaoguo Liu (2 shared papers)Jing Zhang (1 shared paper)Austin M. Guo (1 shared paper)Wenjing Yu (1 shared paper)
- Journals
- Scientific Reports (2 papers)Current Pharmaceutical Design (2 papers)BMC Biology (1 paper)Oncology Reports (1 paper)Frontiers in Cell and Developmental Biology (1 paper)
- Partner nations
- ChinaUnited StatesMalaysia
In The Last Decade
Hexiao Tang
24 papers receiving 323 citations
Peers
Comparison fields: 5 of 55
- Cancer Research 101
- Oncology 105
- Immunology 71
- Molecular Biology 178
- Pulmonary and Respiratory Medicine 78
Countries citing papers authored by Hexiao Tang
This map shows the geographic impact of Hexiao 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 Hexiao Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hexiao Tang more than expected).
Fields of papers citing papers by Hexiao Tang
This network shows the impact of papers produced by Hexiao 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 Hexiao Tang. The network helps show where Hexiao Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Hexiao 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 111 | |
| 2 | 2014 | 38 | |
| 3 | 2019 | 36 | |
| 4 | 2013 | 27 | |
| 5 | 2021 | 14 | |
| 6 | 2023 | 13 | |
| 7 | 2018 | 13 | |
| 8 | 2014 | 11 | |
| 9 | 2015 | 11 | |
| 10 | 2011 | 7 | |
| 11 | 2021 | 7 | |
| 12 | 2021 | 7 | |
| 13 | 2017 | 5 | |
| 14 | 2022 | 4 | |
| 15 | 2025 | 4 | |
| 16 | 2021 | 4 | |
| 17 | 2021 | 4 | |
| 18 | 2022 | 2 | |
| 19 | 2022 | 2 | |
| 20 | 2022 | 2 |
About Hexiao Tang
Hexiao Tang is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Surgery, having authored 24 papers that have together received 326 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Ferroptosis and cancer prognosis (3 papers), Cancer-related molecular mechanisms research (3 papers), Cancer, Hypoxia, and Metabolism (3 papers), Lung Cancer Treatments and Mutations (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), RNA modifications and cancer (3 papers) and Cytokine Signaling Pathways and Interactions (2 papers). The work is most often cited by research in Cancer Research (101 citations), Oncology (105 citations), Immunology (71 citations), Molecular Biology (178 citations) and Pulmonary and Respiratory Medicine (78 citations). Hexiao Tang has collaborated with scholars based in China, United States and Malaysia. Frequent co-authors include Yongde Liao, Jinping Zhao, Changyu Liu, Liangkun You, Zhaoguo Liu, Jing Zhang, Austin M. Guo, Wenjing Yu, Guang Chen and Jiang Yue. Their work appears in journals such as Scientific Reports, Current Pharmaceutical Design, BMC Biology, Oncology Reports and Frontiers in Cell and Developmental Biology.
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.