Ning-Chun Liu

744 citations
13 papers · 614 indexed · h-index 12
Topics
Nuclear Receptors and Signaling (9 papers)Retinoids in leukemia and cellular processes (4 papers)Hormonal and reproductive studies (2 papers)
Partner nations
United StatesTaiwanChina

In The Last Decade

Ning-Chun Liu

13 papers receiving 608 citations

Peers

Ning-Chun Liu
Comparison fields: 5 of 63
  • Molecular Biology 307
  • Endocrinology, Diabetes and Metabolism 197
  • Cellular and Molecular Neuroscience 140
  • Physiology 127
  • Genetics 106
Replace Patrick Pagésy with:
Patrick Pagésy France
Kristin Viste Norway
Odelia Rajanayagam United Kingdom
Anna Pezzatini Italy
Yun Ning China
A. R. Diani United States
B. Obermaier–Kusser Germany
Sandrine Gremlich Switzerland
Latif Rachdi France
Rita P. S. Middelberg Australia
Ning-Chun Liu relative to Patrick Pagésy France Patrick Pagésy's profile →
Citations per field
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Citations per year

Countries citing papers authored by Ning-Chun Liu

Since Specialization
Citations

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

Fields of papers citing papers by Ning-Chun Liu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ning-Chun Liu

This figure shows the co-authorship network connecting the top 25 collaborators of Ning-Chun Liu. A scholar is included among the top collaborators of Ning-Chun 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 Ning-Chun Liu. Ning-Chun Liu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 25
2 23
3 70
4 7
5 32
6 70
7 20
8 33
9 163
10 22
11 64
12 64
13 21

About Ning-Chun Liu

Ning-Chun Liu is a scholar working on Cellular and Molecular Neuroscience, Endocrine and Autonomic Systems and Geriatrics and Gerontology, having authored 13 papers that have together received 614 indexed citations. Recurring topics across this work include Nuclear Receptors and Signaling (9 papers), Retinoids in leukemia and cellular processes (4 papers) and Hormonal and reproductive studies (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (197 citations), Cellular and Molecular Neuroscience (140 citations) and Endocrine and Autonomic Systems (38 citations). Ning-Chun Liu has collaborated with scholars based in United States, Taiwan and China. Frequent co-authors include Chawnshang Chang, I‐Chen Yu, Hung‐Yun Lin, Janet D. Sparks, Shuyuan Yeh, Lumin Chen, Yi‐Fen Lee, Eungseok Kim, Yei‐Tsung Chen and Saleh Altuwaijri. Their work appears in journals such as Hepatology, Diabetes and Biochemical and Biophysical Research Communications.

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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