Kang Liu
- Immunology top 5%
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism 7
- Molecular Biology top 5%
- RNA modifications and cancer 7
- Epigenetics and DNA Methylation 5
- RNA Research and Splicing 5
- Rehabilitation top 5%
- Cell Biology top 10%
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- Cancer Cells and Metastasis 7
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- Osteoarthritis Treatment and Mechanisms 7
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- Spine and Intervertebral Disc Pathology 6
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- Esophageal Cancer Research and Treatment 5
- Co-authors
- Pramod K. SrivastavaYasuaki TamuraPing PengGang FengJonathan MansbridgeWeei-Chin LinGuiqin SongKent T. Symons
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (3 papers)
- Partner nations
- ChinaUnited StatesTaiwan
In The Last Decade
Kang Liu
82 papers receiving 2.3k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Immunology 555
- Cancer Research 358
- Molecular Biology 1.3k
- Rehabilitation 106
- Cell Biology 214
Countries citing papers authored by Kang Liu
This map shows the geographic impact of Kang Liu'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 Kang Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kang Liu more than expected).
Fields of papers citing papers by Kang Liu
This network shows the impact of papers produced by Kang Liu. 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 Kang Liu. The network helps show where Kang Liu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kang Liu, 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 | 2025 | 3 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 0 | |
| 8 | 2023 | 1 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 4 | |
| 11 | 2021 | 46 | |
| 12 | 2021 | 29 | |
| 13 | 2020 | 21 | |
| 14 | 2018 | 14 | |
| 15 | 2018 | 16 | |
| 16 | 2016 | 104 | |
| 17 | 2016 | 14 | |
| 18 | Clinical efficiency of compound Kushen injection combined with radiotherapy in the treatment of patients with cervical cancer | 2011 | 2 |
| 19 | 2009 | 18 | |
| 20 | Tumor Necrosis Factor-α Expression in Ischemic Neurons | 2000 | 53 |
About Kang Liu
Kang Liu is a scholar working on Cancer Research, Rheumatology and Molecular Biology, having authored 89 papers that have together received 2.3k indexed citations. Recurring topics across this work include RNA modifications and cancer (7 papers), Cancer Cells and Metastasis (7 papers), Cancer, Hypoxia, and Metabolism (7 papers), Osteoarthritis Treatment and Mechanisms (7 papers), Spine and Intervertebral Disc Pathology (6 papers), Esophageal Cancer Research and Treatment (5 papers), Epigenetics and DNA Methylation (5 papers) and RNA Research and Splicing (5 papers). The work is most often cited by research in Immunology (555 citations), Cancer Research (358 citations) and Molecular Biology (1.3k citations). Kang Liu has collaborated with scholars based in China, United States and Taiwan. Frequent co-authors include Pramod K. Srivastava, Yasuaki Tamura, Ping Peng, Gang Feng, Jonathan Mansbridge, Weei-Chin Lin, Guiqin Song, Kent T. Symons, Emmett Pinney and Fang‐Tsyr Lin. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.