Yun Chau Long

3.5k citations
42 papers · 2.8k indexed · 1 hit paper · h-index 25
Topics
Metabolism, Diabetes, and Cancer (18 papers)Adipose Tissue and Metabolism (14 papers)Pancreatic function and diabetes (13 papers)
Partner nations
SingaporeSwedenChina

In The Last Decade

Yun Chau Long

40 papers receiving 2.7k citations

Hit Papers

AMP-activated protein kinase signaling in metabolic regul...20062026201220192006250500750

Peers

Yun Chau Long
Comparison fields: 5 of 111
  • Molecular Biology 1.8k
  • Physiology 857
  • Epidemiology 567
  • Surgery 530
  • Cell Biology 302
Replace Fatima Djouadi with:
Fatima Djouadi France
Soo Han Bae South Korea
Yup Kang South Korea
Guillaume Vial France
James Lally Canada
Myeong Ho Jung South Korea
Nandakumar Sambandam United States
Brian T. O’Neill United States
Edwards A. Park United States
Daniel J. Fazakerley Australia
Yun Chau Long relative to Fatima Djouadi France Fatima Djouadi's profile →
Citations per field
00.5×3.1×
Fatima Djouadi · 1×
Citations per year

Countries citing papers authored by Yun Chau Long

Since Specialization
Citations

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

Fields of papers citing papers by Yun Chau Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yun Chau Long. 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 Yun Chau Long. The network helps show where Yun Chau Long may publish in the future.

Co-authorship network of co-authors of Yun Chau Long

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 10
3 6
4 9
5 7
6 33
7 18
8 142
9 46
10 14
11 41
12 56
13 189
14 32
15 1
16
AMP-activated protein kinase signaling in metabolic regulationbreakdown →
836
17 44
18 63
19 9
20 21

About Yun Chau Long

Yun Chau Long is a scholar working on Aging, Physiology and Molecular Biology, having authored 42 papers that have together received 2.8k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (18 papers), Adipose Tissue and Metabolism (14 papers) and Pancreatic function and diabetes (13 papers). The work is most often cited by research in Geriatrics and Gerontology (137 citations), Physiology (857 citations) and Aging (47 citations). Yun Chau Long has collaborated with scholars based in Singapore, Sweden and China. Frequent co-authors include Xinlei Yu, Juleen R. Zierath, Han‐Ming Shen, Hayden Weng Siong Tan, Zhiyong Cheng, Leif Andersson, Stephan Glund, Kyle D. Copps, Morris F. White and Jørgen F. P. Wojtaszewski. Their work appears in journals such as Cell, Journal of Biological Chemistry and Journal of Clinical Investigation.

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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