Yingdan Huang
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- RNA modifications and cancer
- Circular RNAs in diseases
- Epigenetics and DNA Methylation
- RNA Research and Splicing
Papers in
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- MicroRNA in disease regulation 4
- Cancer-related molecular mechanisms research 3
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- RNA modifications and cancer 3
- Epigenetics and DNA Methylation 2
- RNA Research and Splicing 2
- DNA Repair Mechanisms 1
- Co-authors
- Qian Hao (7 shared papers)Xiang Zhou (7 shared papers)Hua Lu (5 shared papers)Quanyi Lu (4 shared papers)Yajie Chen (2 shared papers)Yu Gan (3 shared papers)Jiaxiang Chen (2 shared papers)Xianghuo He (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Redox Biology (1 paper)Cell Reports (1 paper)Signal Transduction and Targeted Therapy (1 paper)Science China Life Sciences (1 paper)
- Partner nations
- ChinaUnited StatesLaos
In The Last Decade
Yingdan Huang
15 papers receiving 208 citations
Yingdan Huang's Hit Papers
Peers
Comparison fields: 5 of 45
- Cancer Research 73
- Molecular Biology 118
- Oncology 38
- Aging 2
- Pulmonary and Respiratory Medicine 28
Countries citing papers authored by Yingdan Huang
This map shows the geographic impact of Yingdan Huang'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 Yingdan Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yingdan Huang more than expected).
Fields of papers citing papers by Yingdan Huang
This network shows the impact of papers produced by Yingdan Huang. 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 Yingdan Huang. The network helps show where Yingdan Huang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yingdan Huang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 48 | |
| 2 | 2021 | 36 | |
| 3 | 2023 | 26 | |
| 4 | Advances in molecular pathology and therapy of non-small cell lung cancer Hit paper breakdown → | 2025 | 23 |
| 5 | 2017 | 20 | |
| 6 | 2023 | 16 | |
| 7 | 2021 | 10 | |
| 8 | 2024 | 9 | |
| 9 | 2023 | 5 | |
| 10 | 2017 | 5 | |
| 11 | 2022 | 4 | |
| 12 | 2017 | 4 | |
| 13 | 2023 | 3 | |
| 14 | 2025 | 3 | |
| 15 | 2017 | 1 |
About Yingdan Huang
Yingdan Huang is a scholar working on Cancer Research, Molecular Biology, Oncology, Pulmonary and Respiratory Medicine and Surgery, having authored 15 papers that have together received 213 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (4 papers), Cancer-related Molecular Pathways (3 papers), RNA modifications and cancer (3 papers), Cancer-related molecular mechanisms research (3 papers), Epigenetics and DNA Methylation (2 papers), Ferroptosis and cancer prognosis (2 papers), RNA Research and Splicing (2 papers) and DNA Repair Mechanisms (1 paper). The work is most often cited by research in Cancer Research (73 citations), Molecular Biology (118 citations), Oncology (38 citations), Aging (2 citations) and Pulmonary and Respiratory Medicine (28 citations). Yingdan Huang has collaborated with scholars based in China, United States and Laos. Frequent co-authors include Qian Hao, Xiang Zhou, Hua Lu, Quanyi Lu, Yajie Chen, Yu Gan, Jiaxiang Chen, Xianghuo He, Xiaohua Wu and Xiong Chen. Their work appears in journals such as Proceedings of the National Academy of Sciences, Redox Biology, Cell Reports, Signal Transduction and Targeted Therapy and Science China Life Sciences.
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.