N. Tan

16 papers receiving 847 citations

Peers

N. Tan
Comparison fields: 5 of 91
  • Behavioral Neuroscience 222
  • Biological Psychiatry 46
  • Endocrine and Autonomic Systems 89
  • Complementary and alternative medicine 105
  • Cellular and Molecular Neuroscience 226
Replace Gabriel Shimizu Bassi with:
Gabriel Shimizu Bassi Brazil
L. B. Wilson United States
Lee L. Pennington United States
Francisco Luiz Rodrigues Lhullier Brazil
Susan Tomlin United Kingdom
Kristin L. Gosselink United States
Makoto Nishihara Japan
Susumu Urakawa Japan
Gaylen L. Edwards United States
Ruth E. Blackburn-Munro United Kingdom
N. Tan relative to Gabriel Shimizu Bassi Brazil Gabriel Shimizu Bassi's profile →
Citations per field
00.5×1.5×
Gabriel Shimizu Bassi · 1×
Citations per year

Countries citing papers authored by N. Tan

Since Specialization
Citations

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

Fields of papers citing papers by N. Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1
Brain Stem Control of Spinal Mechanisms
1982343
2 2001108
3 199399
4 199481
5 199755
6 199340
7 199437
8 199232
9 199427
10 199219
11 199512
12 199611
13 20017
14 20251
15
State responsibility for international cooperation on migration control: the case of Australia
20151
16 20041
17 20250

About N. Tan

N. Tan is a scholar working on Cardiology and Cardiovascular Medicine, Behavioral Neuroscience, Physiology, Complementary and alternative medicine and Endocrinology, Diabetes and Metabolism, having authored 17 papers that have together received 874 indexed citations. Recurring topics across this work include Stress Responses and Cortisol (6 papers), Heart Rate Variability and Autonomic Control (5 papers), Cardiovascular and exercise physiology (3 papers), Thermoregulation and physiological responses (2 papers), Hormonal Regulation and Hypertension (2 papers), Adipose Tissue and Metabolism (2 papers), Neuroendocrine regulation and behavior (2 papers) and Non-Invasive Vital Sign Monitoring (2 papers). The work is most often cited by research in Behavioral Neuroscience (222 citations), Biological Psychiatry (46 citations), Endocrine and Autonomic Systems (89 citations), Complementary and alternative medicine (105 citations) and Cellular and Molecular Neuroscience (226 citations). N. Tan has collaborated with scholars based in Japan, China and Denmark. Frequent co-authors include S. Miller, Colin Chandler, Naotoshi Murakami, Kazuhiro Morimoto, Akio Morimoto, Tomoki Nakamori, Shôji Nakamura, Takeshi Nishiyasu, Yasushi Sakata and Toru Watanabe. Their work appears in journals such as The Journal of Physiology, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Journal of Applied Physiology, Scientific Reports 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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