C. Kay Song

3.6k citations
31 papers · 2.9k indexed · h-index 23
Topics
Adipose Tissue and Metabolism (21 papers)Regulation of Appetite and Obesity (16 papers)Circadian rhythm and melatonin (8 papers)
Partner nations
United StatesCanadaItaly

In The Last Decade

C. Kay Song

31 papers receiving 2.9k citations

Peers

C. Kay Song
Comparison fields: 5 of 104
  • Physiology 2.0k
  • Endocrine and Autonomic Systems 1.7k
  • Epidemiology 645
  • Cardiology and Cardiovascular Medicine 399
  • Nutrition and Dietetics 358
Replace J. M. Overton with:
J. M. Overton United States
Karl J. Kaiyala United States
Gary A. Iwamoto United States
Steven J. Swoap United States
Colleen M. Novak United States
Kate L. J. Ellacott United Kingdom
Kayoko Ogimoto United States
Jack A. Boulant United States
C. M. Donovan United States
Vitaly Ryu United States
C. Kay Song relative to J. M. Overton United States J. M. Overton's profile →
Citations per field
00.5×
J. M. Overton · 1×
Citations per year

Countries citing papers authored by C. Kay Song

Since Specialization
Citations

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

Fields of papers citing papers by C. Kay Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C. Kay Song. 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 C. Kay Song. The network helps show where C. Kay Song may publish in the future.

Co-authorship network of co-authors of C. Kay Song

This figure shows the co-authorship network connecting the top 25 collaborators of C. Kay Song. A scholar is included among the top collaborators of C. Kay Song 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 C. Kay Song. C. Kay Song 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 1
2 332
3 32
4 222
5 125
6 114
7 7
8 80
9 1
10 139
11 65
12 105
13 101
14 181
15 101
16 10
17 26
18 17
19 30
20 46

About C. Kay Song

C. Kay Song is a scholar working on Endocrine and Autonomic Systems, Physiology and Cellular and Molecular Neuroscience, having authored 31 papers that have together received 2.9k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (21 papers), Regulation of Appetite and Obesity (16 papers) and Circadian rhythm and melatonin (8 papers). The work is most often cited by research in Endocrine and Autonomic Systems (1.7k citations), Physiology (2.0k citations) and Behavioral Neuroscience (140 citations). C. Kay Song has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Timothy J. Bartness, Cheryl H. Vaughan, Maryam Bamshad, Gregory E. Demas, Gary J. Schwartz, Robert R. Bowers, Haifei Shi, Yogendra B. Shrestha, Antonio Giordano and Saverio Cinti. Their work appears in journals such as Radiology, Endocrinology and Journal of Lipid Research.

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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