Siew Yeen Chai

7.9k citations
137 papers · 6.2k indexed · h-index 45

Siew Yeen Chai

134 papers receiving 6.1k citations

Peers

Siew Yeen Chai
Comparison fields: 5 of 110
  • Cardiology and Cardiovascular Medicine 3.0k
  • Cellular and Molecular Neuroscience 2.0k
  • Endocrinology, Diabetes and Metabolism 1.4k
  • Endocrine and Autonomic Systems 537
  • Behavioral Neuroscience 187
Replace Sheila M. Gardiner with:
Sheila M. Gardiner United Kingdom
M. Ian Phillips United States
Catherine Llorens‐Cortés France
Nicole Gallo‐Payet Canada
Anthony L. Albiston Australia
Th. Unger Germany
Atsuro Miyata Japan
Fatimunnisa Qadri Germany
Yuji Kawamata Japan
T K Harden United States
Siew Yeen Chai relative to Sheila M. Gardiner United Kingdom Sheila M. Gardiner's profile →
Citations per field
00.5×3.7×
Sheila M. Gardiner · 1×
Citations per year

Countries citing papers authored by Siew Yeen Chai

Since Specialization
Citations

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

Fields of papers citing papers by Siew Yeen Chai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Siew Yeen Chai. 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 Siew Yeen Chai. The network helps show where Siew Yeen Chai may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20223
3 202014
4 201610
5 201132
6 200878
7 2003411
8 2003145
9 200186
10 199947
11 199838
12 199722
13 199785
14 19967
15 199635
16 199520
17 19928
18 199117
19
CIRCUMVENTRICULAR ORGANS - NEUROENDOCRINE INTERFACES BETWEEN THE BRAIN AND THE HEMAL MILIEU
1990177
20 198712

About Siew Yeen Chai

Siew Yeen Chai is a scholar working on Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 137 papers that have together received 6.2k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (55 papers), Renin-Angiotensin System Studies (53 papers), Neuropeptides and Animal Physiology (49 papers), Peptidase Inhibition and Analysis (24 papers), Neuroendocrine regulation and behavior (16 papers), Pancreatic function and diabetes (15 papers), Hormonal Regulation and Hypertension (14 papers) and Diabetes Treatment and Management (8 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (3.0k citations), Cellular and Molecular Neuroscience (2.0k citations) and Endocrinology, Diabetes and Metabolism (1.4k citations). Siew Yeen Chai has collaborated with scholars based in Australia, United States and Sweden. Frequent co-authors include Anthony L. Albiston, Frederick A.O. Mendelsohn, F. A. O. Mendelsohn, Andrew M. Allen, Trisha A. Jenkins, Ruani Fernando, Michael J. McKinley, Siying Ye, George Paxinos and Sharon G. McDowall. Their work appears in journals such as Journal of Neurochemistry, Journal of Hypertension, Brain Research, Clinical and Experimental Pharmacology and Physiology and Neuroscience.

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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