Li Ku

1.2k citations
19 papers · 959 indexed · h-index 14

Impact in

Papers in

    • RNA Research and Splicing 6
    • RNA modifications and cancer 5
    • RNA regulation and disease 4
    • Metabolism, Diabetes, and Cancer 2
    • Genetics and Neurodevelopmental Disorders 4

Li Ku

19 papers receiving 949 citations

Peers

Li Ku
Comparison fields: 5 of 68
  • Developmental Neuroscience 149
  • Cellular and Molecular Neuroscience 191
  • Genetics 292
  • Molecular Biology 685
  • Cancer Research 138
Replace Hiroaki Kanki with:
Hiroaki Kanki Japan
Magdalena Dziembowska Poland
Odessa Yabut United States
Stacy L. Donovan United States
Gwyndolen Harburg United States
Xiaodi Yao United States
Filip A. Konopacki Poland
Wilson B. Chwang United States
Shigeaki Kanatani Japan
Amelia Stanco United States
Li Ku relative to Hiroaki Kanki Japan Hiroaki Kanki's profile →
Citations per field
00.5×1.5×2.0×
Hiroaki Kanki · 1×
Citations per year

Countries citing papers authored by Li Ku

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Li Ku Line = papers co-authored together Li Ku links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 2004255
2 2010174
3 200467
4 199561
5 200656
6 201155
7 201255
8 200751
9 200751
10 201629
11 202223
12 201716
13 199416
14 201314
15 199611
16 202310
17 20167
18 20245
19 19943

About Li Ku

Li Ku is a scholar working on Molecular Biology, Genetics, Cancer Research, Developmental Neuroscience and Oncology, having authored 19 papers that have together received 959 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 (4 papers), MicroRNA in disease regulation (3 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Cancer-related molecular mechanisms research (3 papers) and Metabolism, Diabetes, and Cancer (2 papers). The work is most often cited by research in Developmental Neuroscience (149 citations), Cellular and Molecular Neuroscience (191 citations), Genetics (292 citations), Molecular Biology (685 citations) and Cancer Research (138 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, William T. O'Donnell, Stephen T. Warren, Zhe Liang, Robert Lu, 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, Brain Behavior and Immunity and Glia.

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.

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