Chan Lek Tan

2.6k citations
8 papers · 1.7k indexed · 1 hit paper · h-index 8
Topics
Neuroendocrine regulation and behavior (3 papers)Circadian rhythm and melatonin (3 papers)MicroRNA in disease regulation (3 papers)
Partner nations
United StatesItaly

In The Last Decade

Chan Lek Tan

8 papers receiving 1.7k citations

Hit Papers

Regulation of Body Temperature by the Nervous System20182026202020232018100200300

Peers

Chan Lek Tan
Comparison fields: 5 of 114
  • Molecular Biology 622
  • Endocrine and Autonomic Systems 499
  • Cancer Research 472
  • Physiology 345
  • Cognitive Neuroscience 340
Replace David E. Strochlic with:
David E. Strochlic United States
Alex G. Lee United States
Katsuyasu Sakurai Japan
Jon M. Madison United States
Elizabeth M. Powell United States
Fei Hu China
Michelle A. Hook United States
Hitoshi Ozawa Japan
Wendy Baker United States
Ann M. Thompson United States
Chan Lek Tan relative to David E. Strochlic United States David E. Strochlic's profile →
Citations per field
00.5×3.8×
David E. Strochlic · 1×
Citations per year

Countries citing papers authored by Chan Lek Tan

Since Specialization
Citations

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

Fields of papers citing papers by Chan Lek Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chan Lek Tan. 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 Chan Lek Tan. The network helps show where Chan Lek Tan may publish in the future.

Co-authorship network of co-authors of Chan Lek Tan

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1 94
2
Regulation of Body Temperature by the Nervous Systembreakdown →
396
3 86
4 211
5 265
6 235
7 395
8 18

About Chan Lek Tan

Chan Lek Tan is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience and Cancer Research, having authored 8 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (3 papers), Circadian rhythm and melatonin (3 papers) and MicroRNA in disease regulation (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (499 citations), Cancer Research (472 citations) and Developmental Neuroscience (83 citations). Chan Lek Tan has collaborated with scholars based in United States and Italy. Frequent co-authors include Zachary A. Knight, Paul Greengard, Dónal O’Carroll, Anne Schaefer, Rodolfo Llinás, Mutsuyuki Sugimori, Dean E. Hillman, Christopher A Zimmerman, David E. Leib and Yen‐Chu Lin. Their work appears in journals such as Nature, Science and Cell.

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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