Jixuan Li
- Hepatology top 1%
- Molecular Biology top 5%
- Congenital heart defects research 5
- Pluripotent Stem Cells Research 4
- RNA modifications and cancer 3
- CRISPR and Genetic Engineering 3
- Surgery top 2%
- Pancreatic function and diabetes 13
- Genetics top 5%
- Genetics and Neurodevelopmental Disorders 6
- Aging top 10%
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- Composting and Vermicomposting Techniques 4
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- Metabolism and Genetic Disorders 3
- Co-authors
- Stephen A. DuncanGang NingMichele A. BattleAlistair J. WattKarim Si‐TayebMasato NagaokaFallon K. NotoPaula E. North
- Cited by
- HepatologyMolecular BiologySurgery
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (2 papers)Genes & Development (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Jixuan Li
27 papers receiving 3.0k citations
Hit Papers
Peers
Comparison fields: 5 of 107
- Hepatology 820
- Molecular Biology 2.0k
- Surgery 1.2k
- Genetics 487
- Aging 28
Countries citing papers authored by Jixuan Li
This map shows the geographic impact of Jixuan 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 Jixuan Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jixuan Li more than expected).
Fields of papers citing papers by Jixuan Li
This network shows the impact of papers produced by Jixuan 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 Jixuan Li. The network helps show where Jixuan Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Jixuan 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 | 3 | |
| 2 | 2024 | 2 | |
| 3 | 2023 | 21 | |
| 4 | 2023 | 18 | |
| 5 | 2023 | 4 | |
| 6 | 2023 | 1 | |
| 7 | 2022 | 23 | |
| 8 | Highly Efficient Generation of Human Hepatocyte–Like Cells From Induced Pluripotent Stem Cellsbreakdown → | 2009 | 946 |
| 9 | 2008 | 29 | |
| 10 | 2008 | 154 | |
| 11 | 2008 | 82 | |
| 12 | 2007 | 147 | |
| 13 | 2005 | 182 | |
| 14 | 2002 | 97 | |
| 15 | 2002 | 38 | |
| 16 | 2001 | 26 | |
| 17 | 1997 | 5 | |
| 18 | 1997 | 1 | |
| 19 | 1996 | 2 | |
| 20 | 1996 | 4 |
About Jixuan Li
Jixuan Li is a scholar working on Clinical Biochemistry, Soil Science and Pollution, having authored 27 papers that have together received 3.0k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (13 papers), Genetics and Neurodevelopmental Disorders (6 papers), Congenital heart defects research (5 papers), Pluripotent Stem Cells Research (4 papers), Composting and Vermicomposting Techniques (4 papers), Metabolism and Genetic Disorders (3 papers), RNA modifications and cancer (3 papers) and CRISPR and Genetic Engineering (3 papers). The work is most often cited by research in Hepatology (820 citations), Molecular Biology (2.0k citations) and Surgery (1.2k citations). Jixuan Li has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Stephen A. Duncan, Gang Ning, Michele A. Battle, Alistair J. Watt, Karim Si‐Tayeb, Masato Nagaoka, Fallon K. Noto, Paula E. North, Christine Duris and Stephen Dalton. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Genes & Development.
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.