Xiaoping Li
Impact in
- Oncology top 5%
- CAR-T cell therapy research
- Drug Transport and Resistance Mechanisms
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Genomics and Phylogenetic Studies 7
- RNA modifications and cancer 7
- CRISPR and Genetic Engineering 6
- Oncology 32
- HER2/EGFR in Cancer Research 5
- Cancer Immunotherapy and Biomarkers 5
- Co-authors
- Jia‐Da Li (1 shared paper)Jiaming Zhang (1 shared paper)Benjamin L. Shneider (3 shared papers)Frank Chen (3 shared papers)Ezequiel Neimark (3 shared papers)Xi Zhang (3 shared papers)Ruihao Huang (2 shared papers)Wen Qin (1 shared paper)
- Journals
- Tumor Biology (4 papers)BMC Cancer (3 papers)Journal of Biological Chemistry (3 papers)BMC Nursing (3 papers)Medicine (2 papers)
- Partner nations
- ChinaUnited StatesIsrael
In The Last Decade
Xiaoping Li
149 papers receiving 2.9k citations
Xiaoping Li's Hit Papers
Peers
Comparison fields: 5 of 145
- Oncology 698
- Cancer Research 376
- Molecular Biology 1.1k
- Geriatrics and Gerontology 40
- Immunology 235
Countries citing papers authored by Xiaoping Li
This map shows the geographic impact of Xiaoping 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 Xiaoping Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoping Li more than expected).
Fields of papers citing papers by Xiaoping Li
This network shows the impact of papers produced by Xiaoping 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 Xiaoping Li. The network helps show where Xiaoping Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoping 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 158 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Recent advances in CAR-T cell engineering Hit paper breakdown → | 2020 | 286 |
| 2 | 2004 | 192 | |
| 3 | 2019 | 169 | |
| 4 | 2007 | 116 | |
| 5 | 2003 | 105 | |
| 6 | 2019 | 79 | |
| 7 | 2001 | 77 | |
| 8 | 2013 | 70 | |
| 9 | 2018 | 65 | |
| 10 | 2019 | 65 | |
| 11 | 2019 | 60 | |
| 12 | 2023 | 53 | |
| 13 | 2015 | 52 | |
| 14 | 2006 | 51 | |
| 15 | 2002 | 51 | |
| 16 | 2017 | 48 | |
| 17 | 2006 | 48 | |
| 18 | 2011 | 46 | |
| 19 | 2021 | 44 | |
| 20 | 2020 | 42 |
About Xiaoping Li
Xiaoping Li is a scholar working on Molecular Biology, Oncology, Surgery, Cancer Research and Pulmonary and Respiratory Medicine, having authored 158 papers that have together received 3.0k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), RNA modifications and cancer (7 papers), Cancer-related molecular mechanisms research (6 papers), MicroRNA in disease regulation (6 papers), CRISPR and Genetic Engineering (6 papers), Ovarian cancer diagnosis and treatment (5 papers), HER2/EGFR in Cancer Research (5 papers) and Cancer Immunotherapy and Biomarkers (5 papers). The work is most often cited by research in Oncology (698 citations), Cancer Research (376 citations), Molecular Biology (1.1k citations), Geriatrics and Gerontology (40 citations) and Immunology (235 citations). Xiaoping Li has collaborated with scholars based in China, United States and Israel. Frequent co-authors include Jia‐Da Li, Jiaming Zhang, Benjamin L. Shneider, Frank Chen, Ezequiel Neimark, Xi Zhang, Ruihao Huang, Wen Qin, Li Gao and Yao Liu. Their work appears in journals such as Tumor Biology, BMC Cancer, Journal of Biological Chemistry, BMC Nursing and Medicine.
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.