Chen‐Kai Chou

871 citations
34 papers · 658 · h-index 12

Impact in

Papers in

Chen‐Kai Chou

31 papers receiving 644 citations

Peers

Chen‐Kai Chou
Comparison fields: 5 of 62
  • Cancer Research 271
  • Endocrinology, Diabetes and Metabolism 288
  • Biological Psychiatry 13
  • Molecular Biology 244
  • Immunology 48
Replace Shao Jian Lin with:
Shao Jian Lin China
Piotr Popławski Poland
Sophie Le Page France
Akitoshi Nakayama Japan
Mariana Fuertes Argentina
Akashi Taguchi Japan
Steven E. Nunn United States
Cristina Vignali Italy
Michael O. Idowu United States
Rong‐Liang Shi China
Chen‐Kai Chou relative to Shao Jian Lin China Shao Jian Lin's profile →
Citations per field
00.5×6.5×
Shao Jian Lin · 1×
Citations per year

Countries citing papers authored by Chen‐Kai Chou

Since Specialization
Citations

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

Fields of papers citing papers by Chen‐Kai Chou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chen‐Kai Chou. 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 Chen‐Kai Chou. The network helps show where Chen‐Kai Chou may publish in the future.

Co-authors

The 25 scholars most cited alongside Chen‐Kai Chou, 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 Chen‐Kai Chou Line = papers co-authored together Chen‐Kai Chou links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010198
2 2012111
3 201765
4 202143
5 201631
6 202025
7 202122
8 202217
9 202014
10 200814
11 202112
12 202312
13 202111
14 202211
15 202111
16 20229
17 20237
18 20217
19 20235
20 20255

About Chen‐Kai Chou

Chen‐Kai Chou is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Cancer Research, Molecular Biology and Biological Psychiatry, having authored 34 papers that have together received 658 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (16 papers), Thyroid and Parathyroid Surgery (5 papers), Head and Neck Anomalies (4 papers), MicroRNA in disease regulation (4 papers), Metabolism, Diabetes, and Cancer (2 papers), Thyroid Disorders and Treatments (2 papers), Tryptophan and brain disorders (2 papers) and Neuroendocrine regulation and behavior (1 paper). The work is most often cited by research in Cancer Research (271 citations), Endocrinology, Diabetes and Metabolism (288 citations), Biological Psychiatry (13 citations), Molecular Biology (244 citations) and Immunology (48 citations). Chen‐Kai Chou has collaborated with scholars based in Taiwan, South Korea and Belarus. Frequent co-authors include Rue‐Tsuan Liu, Hong‐Yo Kang, Fong‐Fu Chou, Chao‐Cheng Huang, Kuender D. Yang, Yi‐Yu Chen, Hsueh‐Wen Chang, Rong‐Fu Chen, Jiin‐Tsuey Cheng and Shun‐Yu Chi. Their work appears in journals such as International Journal of Hyperthermia, International Journal of Molecular Sciences, The Journal of Clinical Endocrinology & Metabolism, Frontiers in Endocrinology and Cancers.

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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