Yinxiong Li
Impact in
- Hepatology top 2%
- Liver physiology and pathology
- Molecular Biology top 10%
- Hedgehog Signaling Pathway Studies
- Epigenetics and DNA Methylation
- Congenital heart defects research
- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
Papers in
- Hepatology 19
- Liver physiology and pathology 18
- Aging 2
- Co-authors
- Anna Mae DiehlMargaret L. KirbyJason K. SicklickShannon J. McCallYoungmi JungMichael J. FarrellMarzena ZdanowiczAlessia Omenetti
- Journals
- Stem Cell Research (9 papers)Stem Cell Research & Therapy (4 papers)Laboratory Investigation (3 papers)Developmental Biology (3 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Yinxiong Li
59 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 101
- Hepatology 414
- Molecular Biology 1.2k
- Epidemiology 339
- Surgery 433
- Cell Biology 159
Countries citing papers authored by Yinxiong Li
This map shows the geographic impact of Yinxiong 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 Yinxiong Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yinxiong Li more than expected).
Fields of papers citing papers by Yinxiong Li
This network shows the impact of papers produced by Yinxiong 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 Yinxiong Li. The network helps show where Yinxiong Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Yinxiong 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 | 6 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 5 | |
| 4 | 2024 | 1 | |
| 5 | 2021 | 13 | |
| 6 | 2020 | 5 | |
| 7 | 2020 | 38 | |
| 8 | 2018 | 49 | |
| 9 | 2017 | 1 | |
| 10 | 2017 | 15 | |
| 11 | 2017 | 20 | |
| 12 | 2016 | 11 | |
| 13 | 2007 | 163 | |
| 14 | 2006 | 77 | |
| 15 | 2006 | 35 | |
| 16 | 2003 | 27 | |
| 17 | 2000 | 126 | |
| 18 | 2000 | 10 | |
| 19 | 1999 | 7 | |
| 20 | 1999 | 41 |
About Yinxiong Li
Yinxiong Li is a scholar working on Hepatology, Aging, Molecular Biology, Cancer Research and Pharmacology, having authored 59 papers that have together received 1.8k indexed citations. Recurring topics across this work include Liver physiology and pathology (18 papers), Pluripotent Stem Cells Research (18 papers), Pancreatic function and diabetes (11 papers), CRISPR and Genetic Engineering (9 papers), Hedgehog Signaling Pathway Studies (6 papers), Liver Disease Diagnosis and Treatment (6 papers), Epigenetics and DNA Methylation (5 papers) and Congenital heart defects research (4 papers). The work is most often cited by research in Hepatology (414 citations), Molecular Biology (1.2k citations), Epidemiology (339 citations), Surgery (433 citations) and Cell Biology (159 citations). Yinxiong Li has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Anna Mae Diehl, Margaret L. Kirby, Jason K. Sicklick, Shannon J. McCall, Youngmi Jung, Michael J. Farrell, Marzena Zdanowicz, Alessia Omenetti, Liu Yang and Hua Mao. Their work appears in journals such as Stem Cell Research, Stem Cell Research & Therapy, Laboratory Investigation, Developmental Biology and Scientific Reports.
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.