Chi-Bun Chan

15 papers receiving 978 citations

Peers

Chi-Bun Chan
Comparison fields: 5 of 79
  • Endocrine and Autonomic Systems 180
  • Developmental Neuroscience 79
  • Cellular and Molecular Neuroscience 232
  • Biological Psychiatry 21
  • Physiology 216
Replace C.E.E.M. van der Zee with:
C.E.E.M. van der Zee Netherlands
Guang Bai United States
Song Jiao China
Yolande Lemaigre‐Dubreuil France
Karina Hernández‐Ortega Mexico
Shiyong Liu China
Joan Liu United Kingdom
Marilena Campanella Italy
Yoshiteru Kagawa Japan
F. Boroni Italy
Chi-Bun Chan relative to C.E.E.M. van der Zee Netherlands C.E.E.M. van der Zee's profile →
Citations per field
00.5×5.6×
C.E.E.M. van der Zee · 1×
Citations per year

Countries citing papers authored by Chi-Bun Chan

Since Specialization
Citations

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

Fields of papers citing papers by Chi-Bun Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chi-Bun Chan. 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 Chi-Bun Chan. The network helps show where Chi-Bun Chan may publish in the future.

Co-authors

The 25 scholars most cited alongside Chi-Bun Chan, 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 Chi-Bun Chan Line = papers co-authored together Chi-Bun Chan links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2013200
2 2010198
3 2006125
4 2007124
5 200892
6 201250
7 200439
8 200636
9 201030
10 201128
11 201321
12 200817
13 200514
14 20129
15 20062

About Chi-Bun Chan

Chi-Bun Chan is a scholar working on Molecular Biology, Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Nutrition and Dietetics and Organic Chemistry, having authored 15 papers that have together received 985 indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (4 papers), PI3K/AKT/mTOR signaling in cancer (4 papers), Biochemical Analysis and Sensing Techniques (3 papers), Adipokines, Inflammation, and Metabolic Diseases (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Alzheimer's disease research and treatments (1 paper), Genetics and Neurodevelopmental Disorders (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (180 citations), Developmental Neuroscience (79 citations), Cellular and Molecular Neuroscience (232 citations), Biological Psychiatry (21 citations) and Physiology (216 citations). Chi-Bun Chan has collaborated with scholars based in United States, Hong Kong and France. Frequent co-authors include Keqiang Ye, Christopher H.K. Cheng, Xia Liu, Helen Wise, Kevin B.S. Chow, David Weinshenker, Jason P. Schroeder, M. Nakamoto, Stephen T. Warren and Shan Ping Yu. Their work appears in journals such as Journal of Biological Chemistry, FEBS Letters, The International Journal of Biochemistry & Cell Biology, Nature Cell Biology and Journal of Medicinal Chemistry.

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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