Pu Li
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
- Molecular Biology top 5%
- Circular RNAs in diseases
- RNA modifications and cancer
- Epigenetics and DNA Methylation
- RNA Research and Splicing
Papers in
-
- Circular RNAs in diseases 9
- RNA modifications and cancer 7
- RNA Research and Splicing 5
- Epigenetics and DNA Methylation 4
-
- MicroRNA in disease regulation 21
- Cancer-related molecular mechanisms research 12
- Co-authors
- Xuehua Chen (16 shared papers)Zhenggang Zhu (9 shared papers)Bingya Liu (7 shared papers)Liping Su (6 shared papers)Qu Cai (5 shared papers)Hua Tang (2 shared papers)Beiqin Yu (4 shared papers)Changjun Yin (7 shared papers)
- Journals
- Journal of Translational Medicine (7 papers)Biomedicine & Pharmacotherapy (5 papers)Oncotarget (4 papers)PLoS ONE (3 papers)Cancer Letters (2 papers)
- Partner nations
- ChinaUnited StatesQatar
In The Last Decade
Pu Li
52 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 96
- Cancer Research 997
- Molecular Biology 1.3k
- Oncology 330
- Immunology 173
- Cell Biology 82
Countries citing papers authored by Pu Li
This map shows the geographic impact of Pu 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 Pu Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pu Li more than expected).
Fields of papers citing papers by Pu Li
This network shows the impact of papers produced by Pu 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 Pu Li. The network helps show where Pu Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Pu 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 52 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 144 | |
| 2 | 2014 | 141 | |
| 3 | 2012 | 122 | |
| 4 | 2013 | 90 | |
| 5 | 2013 | 84 | |
| 6 | 2012 | 73 | |
| 7 | 2013 | 67 | |
| 8 | 2014 | 63 | |
| 9 | 2013 | 63 | |
| 10 | 2015 | 58 | |
| 11 | 2013 | 51 | |
| 12 | 2014 | 48 | |
| 13 | 2019 | 48 | |
| 14 | 2013 | 44 | |
| 15 | 2014 | 43 | |
| 16 | 2013 | 40 | |
| 17 | 2012 | 38 | |
| 18 | 2016 | 36 | |
| 19 | 2014 | 34 | |
| 20 | 2014 | 34 |
About Pu Li
Pu Li is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Surgery, having authored 52 papers that have together received 1.7k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (21 papers), Cancer-related molecular mechanisms research (12 papers), Circular RNAs in diseases (9 papers), Cancer Cells and Metastasis (8 papers), RNA modifications and cancer (7 papers), RNA Research and Splicing (5 papers), Epigenetics and DNA Methylation (4 papers) and Cancer Research and Treatments (3 papers). The work is most often cited by research in Cancer Research (997 citations), Molecular Biology (1.3k citations), Oncology (330 citations), Immunology (173 citations) and Cell Biology (82 citations). Pu Li has collaborated with scholars based in China, United States and Qatar. Frequent co-authors include Xuehua Chen, Zhenggang Zhu, Bingya Liu, Liping Su, Qu Cai, Hua Tang, Beiqin Yu, Changjun Yin, Qiaoming Zhi and Chao Qin. Their work appears in journals such as Journal of Translational Medicine, Biomedicine & Pharmacotherapy, Oncotarget, PLoS ONE and Cancer Letters.
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.