Li Ku
Impact in
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms
- Genetics top 10%
- Genetics and Neurodevelopmental Disorders
Papers in
-
- RNA Research and Splicing 6
- RNA modifications and cancer 5
- RNA regulation and disease 4
- Circular RNAs in diseases 2
-
- Neurogenesis and neuroplasticity mechanisms 3
- Co-authors
- Yue Feng (15 shared papers)Wen Li (2 shared papers)Houping Wang (2 shared papers)Yuntao Chen (3 shared papers)Stephen T. Warren (1 shared paper)Zhe Liang (1 shared paper)Robert Lu (1 shared paper)William T. O'Donnell (1 shared paper)
- Journals
- Journal of Biological Chemistry (5 papers)Molecular Biology of the Cell (2 papers)Proceedings of the National Academy of Sciences (2 papers)Journal of Neuroscience (1 paper)Journal of Proteome Research (1 paper)
- Partner nations
- United StatesChinaCzechia
In The Last Decade
Li Ku
19 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 66
- Developmental Neuroscience 156
- Genetics 298
- Cellular and Molecular Neuroscience 195
- Molecular Biology 687
- Cancer Research 133
Countries citing papers authored by Li Ku
This map shows the geographic impact of Li Ku'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 Li Ku with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Ku more than expected).
Fields of papers citing papers by Li Ku
This network shows the impact of papers produced by Li Ku. 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 Li Ku. The network helps show where Li Ku may publish in the future.
Co-authors
The 25 scholars most cited alongside Li Ku, 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 | 2004 | 268 | |
| 2 | 2010 | 189 | |
| 3 | 2004 | 69 | |
| 4 | 1995 | 62 | |
| 5 | 2006 | 61 | |
| 6 | 2011 | 60 | |
| 7 | 2012 | 57 | |
| 8 | 2007 | 54 | |
| 9 | 2007 | 52 | |
| 10 | 2016 | 31 | |
| 11 | 2022 | 23 | |
| 12 | 2017 | 19 | |
| 13 | 1994 | 16 | |
| 14 | 2013 | 14 | |
| 15 | 2023 | 14 | |
| 16 | 1996 | 11 | |
| 17 | 2016 | 8 | |
| 18 | 2024 | 8 | |
| 19 | 1994 | 3 |
About Li Ku
Li Ku is a scholar working on Molecular Biology, Developmental Neuroscience, Cancer Research, Genetics and Endocrinology, Diabetes and Metabolism, having authored 19 papers that have together received 1.0k indexed citations. Recurring topics across this work include RNA Research and Splicing (6 papers), RNA modifications and cancer (5 papers), RNA regulation and disease (4 papers), Genetics and Neurodevelopmental Disorders (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Circular RNAs in diseases (2 papers), Growth Hormone and Insulin-like Growth Factors (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Developmental Neuroscience (156 citations), Genetics (298 citations), Cellular and Molecular Neuroscience (195 citations), Molecular Biology (687 citations) and Cancer Research (133 citations). Li Ku has collaborated with scholars based in United States, China and Czechia. Frequent co-authors include Yue Feng, Wen Li, Houping Wang, Yuntao Chen, Stephen T. Warren, Zhe Liang, Robert Lu, William T. O'Donnell, Donghua Tian and Patrice Delafontaine. Their work appears in journals such as Journal of Biological Chemistry, Molecular Biology of the Cell, Proceedings of the National Academy of Sciences, Journal of Neuroscience and Journal of Proteome Research.
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.