N. Tan

22 total papers · 1.0k total citations
17 papers, 875 citations indexed

About

N. Tan is a scholar working on Cardiology and Cardiovascular Medicine, Behavioral Neuroscience and Physiology. According to data from OpenAlex, N. Tan has authored 17 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 6 papers in Behavioral Neuroscience and 4 papers in Physiology. Recurrent topics in N. Tan's work include Stress Responses and Cortisol (6 papers), Heart Rate Variability and Autonomic Control (5 papers) and Cardiovascular and exercise physiology (3 papers). N. Tan is often cited by papers focused on Stress Responses and Cortisol (6 papers), Heart Rate Variability and Autonomic Control (5 papers) and Cardiovascular and exercise physiology (3 papers). N. Tan collaborates with scholars based in Japan, China and Denmark. N. Tan's co-authors include S. Miller, Colin Chandler, Naotoshi Murakami, Kazuhiro Morimoto, Akio Morimoto, Tomoki Nakamori, Shôji Nakamura, Takeshi Nishiyasu, Yasushi Sakata and Golam M. I. Chowdhury and has published in prestigious journals such as The Journal of Physiology, Scientific Reports and Journal of Applied Physiology.

In The Last Decade

N. Tan

16 papers receiving 847 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
N. Tan	262	226	222	177	150	17	875
Lee L. Pennington	307 1.2×	134 0.6×	395 1.8×	94 0.5×	206 1.4×	14	982
Jacqueline Hastings	142 0.5×	207 0.9×	146 0.7×	357 2.0×	102 0.7×	21	886
João Eduardo de Araújo	121 0.5×	319 1.4×	111 0.5×	85 0.5×	109 0.7×	44	788
Hyukki Chang	336 1.3×	187 0.8×	145 0.7×	98 0.6×	50 0.3×	40	937
Gabriel Shimizu Bassi	186 0.7×	209 0.9×	111 0.5×	103 0.6×	96 0.6×	40	852
Eduardo Henrique de Lima Umeoka	108 0.4×	349 1.5×	236 1.1×	61 0.3×	122 0.8×	15	1.0k
Susumu Urakawa	104 0.4×	158 0.7×	88 0.4×	59 0.3×	129 0.9×	45	891
Manuel O. López-Figueroa	341 1.3×	247 1.1×	188 0.8×	87 0.5×	141 0.9×	17	948
Bernward Winter	178 0.7×	133 0.6×	78 0.4×	123 0.7×	87 0.6×	12	993
J.R. Bassett	157 0.6×	112 0.5×	344 1.5×	64 0.4×	183 1.2×	34	777

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-authorship network of co-authors of N. Tan

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

All Works

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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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