Tsaiping Li
Impact in
- Cell Biology top 10%
- Endoplasmic Reticulum Stress and Disease
- Cellular transport and secretion
- Biochemistry top 10%
- Lipid metabolism and biosynthesis
Papers in
-
- Cell death mechanisms and regulation 3
- RNA Interference and Gene Delivery 2
- RNA Research and Splicing 2
- Angiogenesis and VEGF in Cancer 2
- Co-authors
- Mujun Zhao (16 shared papers)Liang Liang (2 shared papers)Zhenhua Xu (2 shared papers)Kazunari K. Yokoyama (4 shared papers)Liang Da (7 shared papers)Pierre Tiollais (4 shared papers)Yi Mao (2 shared papers)Hong Tang (2 shared papers)
- Journals
- Biochemical and Biophysical Research Communications (8 papers)Hepatology (2 papers)Biochemical Journal (2 papers)Acta Biochimica et Biophysica Sinica (1 paper)Gene (1 paper)
- Partner nations
- ChinaFranceUnited Kingdom
In The Last Decade
Tsaiping Li
20 papers receiving 733 citations
Peers
Comparison fields: 5 of 76
- Cell Biology 145
- Biochemistry 59
- Epidemiology 229
- Cancer Research 94
- Immunology and Allergy 34
Countries citing papers authored by Tsaiping Li
This map shows the geographic impact of Tsaiping 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 Tsaiping Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tsaiping Li more than expected).
Fields of papers citing papers by Tsaiping Li
This network shows the impact of papers produced by Tsaiping 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 Tsaiping Li. The network helps show where Tsaiping Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Tsaiping 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 | 2008 | 207 | |
| 2 | 2003 | 99 | |
| 3 | 2000 | 78 | |
| 4 | 2003 | 64 | |
| 5 | 2001 | 62 | |
| 6 | 2000 | 34 | |
| 7 | 2004 | 32 | |
| 8 | 2011 | 30 | |
| 9 | 2002 | 20 | |
| 10 | 2006 | 19 | |
| 11 | 2011 | 18 | |
| 12 | 2001 | 16 | |
| 13 | 2010 | 13 | |
| 14 | 2008 | 12 | |
| 15 | 2003 | 10 | |
| 16 | 2001 | 9 | |
| 17 | 2010 | 9 | |
| 18 | 2009 | 5 | |
| 19 | 2012 | 4 | |
| 20 | 2004 | 4 |
About Tsaiping Li
Tsaiping Li is a scholar working on Molecular Biology, Cell Biology, Physiology, Oncology and Pollution, having authored 20 papers that have together received 745 indexed citations. Recurring topics across this work include Telomeres, Telomerase, and Senescence (4 papers), Cell death mechanisms and regulation (3 papers), Liver physiology and pathology (2 papers), RNA Interference and Gene Delivery (2 papers), RNA Research and Splicing (2 papers), Angiogenesis and VEGF in Cancer (2 papers), Microplastics and Plastic Pollution (2 papers) and Chromosomal and Genetic Variations (2 papers). The work is most often cited by research in Cell Biology (145 citations), Biochemistry (59 citations), Epidemiology (229 citations), Cancer Research (94 citations) and Immunology and Allergy (34 citations). Tsaiping Li has collaborated with scholars based in China, France and United Kingdom. Frequent co-authors include Mujun Zhao, Liang Liang, Zhenhua Xu, Kazunari K. Yokoyama, Liang Da, Pierre Tiollais, Yi Mao, Hong Tang, Dong Li and Yifei Wang. Their work appears in journals such as Biochemical and Biophysical Research Communications, Hepatology, Biochemical Journal, Acta Biochimica et Biophysica Sinica and Gene.
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.