Xing Li
Impact in
- Virology top 2%
- HIV Research and Treatment
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
- Oncology 76
- Inflammatory Biomarkers in Disease Prognosis 19
- Cancer Immunotherapy and Biomarkers 15
- Co-authors
- Hailin Tang (15 shared papers)Joseph Sodroski (8 shared papers)Qu Lin (42 shared papers)Zhan‐Hong Chen (32 shared papers)Xinhua Xie (11 shared papers)Hualiang Lin (11 shared papers)Weilin Zeng (13 shared papers)Xiangyuan Wu (34 shared papers)
- Journals
- Journal of Clinical Oncology (19 papers)Frontiers in Oncology (8 papers)Medicine (7 papers)Tumor Biology (7 papers)Biomedicine & Pharmacotherapy (6 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xing Li
438 papers receiving 8.7k citations
Peers
Comparison fields: 5 of 192
- Virology 361
- Cancer Research 1.1k
- Immunology 1.5k
- Oncology 1.3k
- Hepatology 301
Countries citing papers authored by Xing Li
This map shows the geographic impact of Xing 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 Xing Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xing Li more than expected).
Fields of papers citing papers by Xing Li
This network shows the impact of papers produced by Xing 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 Xing Li. The network helps show where Xing Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Xing 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 469 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 277 | |
| 2 | 2018 | 166 | |
| 3 | 2014 | 165 | |
| 4 | 2019 | 144 | |
| 5 | 2022 | 126 | |
| 6 | 2015 | 123 | |
| 7 | 2013 | 118 | |
| 8 | 2016 | 115 | |
| 9 | 2015 | 112 | |
| 10 | 2006 | 105 | |
| 11 | 2023 | 99 | |
| 12 | 2018 | 95 | |
| 13 | 2017 | 94 | |
| 14 | 2016 | 94 | |
| 15 | 2014 | 93 | |
| 16 | 2013 | 92 | |
| 17 | 2018 | 81 | |
| 18 | 2016 | 81 | |
| 19 | 2020 | 80 | |
| 20 | 2016 | 77 |
About Xing Li
Xing Li is a scholar working on Molecular Biology, Oncology, Epidemiology, Immunology and Cancer Research, having authored 469 papers that have together received 8.8k indexed citations. Recurring topics across this work include Inflammatory Biomarkers in Disease Prognosis (19 papers), Immune cells in cancer (17 papers), Influenza Virus Research Studies (16 papers), Cancer, Lipids, and Metabolism (15 papers), Hepatocellular Carcinoma Treatment and Prognosis (15 papers), Cancer Immunotherapy and Biomarkers (15 papers), MicroRNA in disease regulation (14 papers) and Liver Disease Diagnosis and Treatment (14 papers). The work is most often cited by research in Virology (361 citations), Cancer Research (1.1k citations), Immunology (1.5k citations), Oncology (1.3k citations) and Hepatology (301 citations). Xing Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hailin Tang, Joseph Sodroski, Qu Lin, Zhan‐Hong Chen, Xinhua Xie, Hualiang Lin, Weilin Zeng, Xiangyuan Wu, Xiaokun Ma and Tao Liu. Their work appears in journals such as Journal of Clinical Oncology, Frontiers in Oncology, Medicine, Tumor Biology and Biomedicine & Pharmacotherapy.
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.