Hanning Li
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- Metal-Organic Frameworks: Synthesis and Applications
Papers in
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- RNA modifications and cancer 10
- Epigenetics and DNA Methylation 5
- Bioinformatics and Genomic Networks 4
- RNA Research and Splicing 2
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- Ferroptosis and cancer prognosis 10
- Co-authors
- Menglu Dong (12 shared papers)Tao Xu (10 shared papers)Xingrui Li (8 shared papers)Yaying Du (11 shared papers)Xingrui Li (11 shared papers)Zheng‐tao Lv (4 shared papers)Xiang Zhou (2 shared papers)Xu Li (1 shared paper)
- Journals
- OncoTargets and Therapy (2 papers)Cancer Management and Research (2 papers)iScience (1 paper)Endocrinology (1 paper)Neuroscience & Biobehavioral Reviews (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Hanning Li
27 papers receiving 394 citations
Peers
Comparison fields: 5 of 87
- Cancer Research 105
- Inorganic Chemistry 50
- Molecular Biology 210
- Health Informatics 4
- Pulmonary and Respiratory Medicine 85
Countries citing papers authored by Hanning Li
This map shows the geographic impact of Hanning Li'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 Hanning Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hanning Li more than expected).
Fields of papers citing papers by Hanning Li
This network shows the impact of papers produced by Hanning Li. 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 Hanning Li. The network helps show where Hanning Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Hanning Li, 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 | 2015 | 54 | |
| 2 | 2019 | 43 | |
| 3 | 2021 | 31 | |
| 4 | 2021 | 27 | |
| 5 | 2020 | 22 | |
| 6 | 2020 | 19 | |
| 7 | 2020 | 18 | |
| 8 | 2021 | 18 | |
| 9 | 2022 | 18 | |
| 10 | 2020 | 17 | |
| 11 | 2019 | 16 | |
| 12 | 2021 | 16 | |
| 13 | 2017 | 15 | |
| 14 | 2022 | 14 | |
| 15 | 2020 | 14 | |
| 16 | 2023 | 11 | |
| 17 | 2021 | 11 | |
| 18 | 2023 | 9 | |
| 19 | 2023 | 6 | |
| 20 | 2020 | 4 |
About Hanning Li
Hanning Li is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Oncology and Endocrinology, Diabetes and Metabolism, having authored 31 papers that have together received 397 indexed citations. Recurring topics across this work include Ferroptosis and cancer prognosis (10 papers), RNA modifications and cancer (10 papers), MicroRNA in disease regulation (5 papers), Epigenetics and DNA Methylation (5 papers), Bioinformatics and Genomic Networks (4 papers), Thyroid Cancer Diagnosis and Treatment (4 papers), Cancer-related molecular mechanisms research (3 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Cancer Research (105 citations), Inorganic Chemistry (50 citations), Molecular Biology (210 citations), Health Informatics (4 citations) and Pulmonary and Respiratory Medicine (85 citations). Hanning Li has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Menglu Dong, Tao Xu, Xingrui Li, Yaying Du, Xingrui Li, Zheng‐tao Lv, Xiang Zhou, Xu Li, Runfa Chen and Thomas C. W. Mak. Their work appears in journals such as OncoTargets and Therapy, Cancer Management and Research, iScience, Endocrinology and Neuroscience & Biobehavioral Reviews.
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.