Hsueh‐Ning Liu

1.1k citations
16 papers · 891 indexed · h-index 15
Topics
Neuroscience and Neuropharmacology Research (6 papers)Neurogenesis and neuroplasticity mechanisms (4 papers)Amyotrophic Lateral Sclerosis Research (3 papers)
Partner nations
CanadaUnited StatesSpain

In The Last Decade

Hsueh‐Ning Liu

16 papers receiving 872 citations

Peers

Hsueh‐Ning Liu
Comparison fields: 5 of 86
  • Molecular Biology 420
  • Neurology 234
  • Cellular and Molecular Neuroscience 207
  • Developmental Neuroscience 176
  • Neurology 159
Replace Gye Sun Jeon with:
Gye Sun Jeon South Korea
Laura A. Pasquini Argentina
Merja Jaronen Finland
Tomoko Tashiro Japan
Sa Sun Cho South Korea
Hitoshi Nagara Japan
Mia Emgård Sweden
Hisae Sumi Japan
Yimin Yuan China
Hasan X. Avci Hungary
Hsueh‐Ning Liu relative to Gye Sun Jeon South Korea Gye Sun Jeon's profile →
Citations per field
00.5×2.6×
Gye Sun Jeon · 1×
Citations per year

Countries citing papers authored by Hsueh‐Ning Liu

Since Specialization
Citations

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

Fields of papers citing papers by Hsueh‐Ning Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hsueh‐Ning Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Hsueh‐Ning Liu. A scholar is included among the top collaborators of Hsueh‐Ning Liu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Hsueh‐Ning Liu. Hsueh‐Ning Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

16 of 16 papers shown
#WorkIndexed citations
1 12
2 17
3 163
4 55
5 24
6 69
7 69
8 140
9 26
10 25
11 71
12 45
13 66
14 28
15 31
16 50

About Hsueh‐Ning Liu

Hsueh‐Ning Liu is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience and Biochemistry, having authored 16 papers that have together received 891 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (6 papers), Neurogenesis and neuroplasticity mechanisms (4 papers) and Amyotrophic Lateral Sclerosis Research (3 papers). The work is most often cited by research in Developmental Neuroscience (176 citations), Neurology (159 citations) and Neurology (234 citations). Hsueh‐Ning Liu has collaborated with scholars based in Canada, United States and Spain. Frequent co-authors include Guillermina Almazán, Janice Robertson, Lorne Zinman, Ekaterina Rogaeva, Walter E. Mushynski, Juan M. Bilbao, Daniel Larocque, Sylvain Chemtob, André Galarneau and Eduardo Molina‐Holgado. Their work appears in journals such as Nature Neuroscience, Annals of Neurology and Free Radical Biology and Medicine.

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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