Fu‐Chin Liu

1.4k citations
33 papers · 1.0k · h-index 18

Impact in

Papers in

    • Congenital heart defects research 9
    • Pluripotent Stem Cells Research 4
    • Genetics and Neurodevelopmental Disorders 15

Fu‐Chin Liu

33 papers receiving 1.0k citations

Peers

Fu‐Chin Liu
Comparison fields: 5 of 94
  • Developmental Neuroscience 138
  • Cellular and Molecular Neuroscience 316
  • Aging 29
  • Developmental Biology 27
  • Molecular Biology 554
Replace Paola Sgadó with:
Paola Sgadó Italy
Cemil Kerimoglu Germany
Lori Redmond United States
Richard V. Pearse United States
Hiroyuki Ichijo Japan
Jayms D. Peterson United States
Lili C. Kudo United States
Céline Fuchs United Kingdom
Nicolas Narboux‐Nême France
Takashi Shiga Japan
Fu‐Chin Liu relative to Paola Sgadó Italy Paola Sgadó's profile →
Citations per field
00.5×3.2×
Paola Sgadó · 1×
Citations per year

Countries citing papers authored by Fu‐Chin Liu

Since Specialization
Citations

This map shows the geographic impact of Fu‐Chin Liu'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 Fu‐Chin Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fu‐Chin Liu more than expected).

Fields of papers citing papers by Fu‐Chin Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fu‐Chin Liu. 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 Fu‐Chin Liu. The network helps show where Fu‐Chin Liu may publish in the future.

Co-authors

The 25 scholars most cited alongside Fu‐Chin Liu, 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 Fu‐Chin Liu Line = papers co-authored together Fu‐Chin Liu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009220
2 201682
3 199264
4 200857
5 200855
6 200454
7 201352
8 200948
9 201941
10 201838
11 199836
12 199834
13 200831
14 202027
15 202221
16 201321
17 201820
18 202017
19 200516
20 201813

About Fu‐Chin Liu

Fu‐Chin Liu is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Developmental Neuroscience and Cell Biology, having authored 33 papers that have together received 1.0k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (15 papers), Neurogenesis and neuroplasticity mechanisms (11 papers), Congenital heart defects research (9 papers), Neuroscience and Neuropharmacology Research (7 papers), Autism Spectrum Disorder Research (5 papers), Pluripotent Stem Cells Research (4 papers), Neurological disorders and treatments (4 papers) and Neurotransmitter Receptor Influence on Behavior (4 papers). The work is most often cited by research in Developmental Neuroscience (138 citations), Cellular and Molecular Neuroscience (316 citations), Aging (29 citations), Developmental Biology (27 citations) and Molecular Biology (554 citations). Fu‐Chin Liu has collaborated with scholars based in Taiwan, Japan and United States. Frequent co-authors include Hsiao‐Ying Kuo, Ann M. Graybiel, Hiroshi Takahashi, Ting‐Fen Tsai, Kaoru Takahashi, Chu-Wen Yang, Chia-Yu Wu, Yi‐Fan Chen, Chih‐Hao Wang and Ya-Ting Chen. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Comparative Neurology, eNeuro, Neuroscience and PLoS ONE.

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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