Yu-Kai Li
Impact in
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis
- Liver physiology and pathology
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- Cancer, Lipids, and Metabolism
Papers in
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- Hepatocellular Carcinoma Treatment and Prognosis 3
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- S100 Proteins and Annexins 1
- Cancer therapeutics and mechanisms 1
- Co-authors
- Qingbo Wang (5 shared papers)Xingming Chen (4 shared papers)Zisheng Yang (5 shared papers)Ke Yang (3 shared papers)Yan Wang (1 shared paper)Zhiwei Li (1 shared paper)Jia-Ping Wang (1 shared paper)Yang Ke (3 shared papers)
- Journals
- Frontiers in Immunology (2 papers)Expert Review of Anticancer Therapy (1 paper)Journal of Cancer (1 paper)Liver Cancer (1 paper)Frontiers in Neuroscience (1 paper)
- Partner nations
- China
In The Last Decade
Yu-Kai Li
9 papers receiving 170 citations
Yu-Kai Li's Hit Papers
Peers
Comparison fields: 5 of 30
- Hepatology 56
- Cancer Research 14
- Pulmonary and Respiratory Medicine 22
- Geriatrics and Gerontology 2
- Oncology 12
Countries citing papers authored by Yu-Kai Li
This map shows the geographic impact of Yu-Kai 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 Yu-Kai Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu-Kai Li more than expected).
Fields of papers citing papers by Yu-Kai Li
This network shows the impact of papers produced by Yu-Kai 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 Yu-Kai Li. The network helps show where Yu-Kai Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu-Kai 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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 49 | |
| 2 | Tumor-associated lymphatic vessel density is a postoperative prognostic biomarker of hepatobiliary cancers: a systematic review and meta-analysis Hit paper breakdown → | 2025 | 40 |
| 3 | The effectiveness and safety of therapies for hepatocellular carcinoma with tumor thrombus in the hepatic vein, inferior vena cave and/or right atrium: a systematic review and single-arm meta-analysis Hit paper breakdown → | 2025 | 34 |
| 4 | 2024 | 22 | |
| 5 | 2019 | 13 | |
| 6 | 2025 | 6 | |
| 7 | 2023 | 4 | |
| 8 | 2025 | 1 | |
| 9 | 2025 | 1 |
About Yu-Kai Li
Yu-Kai Li is a scholar working on Hepatology, Molecular Biology, Surgery, Pharmacology and Neurology, having authored 9 papers that have together received 170 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (3 papers), Traumatic Brain Injury and Neurovascular Disturbances (1 paper), Traumatic Brain Injury Research (1 paper), S100 Proteins and Annexins (1 paper), Berberine and alkaloids research (1 paper), Cancer therapeutics and mechanisms (1 paper), Plant-based Medicinal Research (1 paper) and Lymphatic System and Diseases (1 paper). The work is most often cited by research in Hepatology (56 citations), Cancer Research (14 citations), Pulmonary and Respiratory Medicine (22 citations), Geriatrics and Gerontology (2 citations) and Oncology (12 citations). Yu-Kai Li has collaborated with scholars based in China. Frequent co-authors include Qingbo Wang, Xingming Chen, Zisheng Yang, Ke Yang, Yan Wang, Zhiwei Li, Jia-Ping Wang, Yang Ke, Shuangxi Li and Yu Liu. Their work appears in journals such as Frontiers in Immunology, Expert Review of Anticancer Therapy, Journal of Cancer, Liver Cancer and Frontiers in Neuroscience.
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.