Daian Chen

18 papers receiving 447 citations

Peers

Daian Chen
Comparison fields: 5 of 73
  • Behavioral Neuroscience 49
  • Cardiology and Cardiovascular Medicine 213
  • Endocrine and Autonomic Systems 57
  • Endocrinology, Diabetes and Metabolism 108
  • Nutrition and Dietetics 76
Replace N. Minami with:
N. Minami Japan
Y F Chen United States
Thu‐Phuc Nguyen‐Huu Australia
J. L. Elghozi France
Kristina Repova Slovakia
Paul Vecsei Germany
Shogo Sesoko Japan
Daniel Campos Villela Brazil
Louise Elander Sweden
Masamichi Yoshika Japan
Daian Chen relative to N. Minami Japan N. Minami's profile →
Citations per field
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N. Minami · 1×
Citations per year

Countries citing papers authored by Daian Chen

Since Specialization
Citations

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

Fields of papers citing papers by Daian Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201484
2 201555
3 200946
4 201238
5 201035
6 201629
7 200927
8 201322
9 202220
10 201718
11 201517
12 201715
13 20199
14 20169
15 20129
16 20098
17 20127
18 20171

About Daian Chen

Daian Chen is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Endocrinology, Diabetes and Metabolism, Behavioral Neuroscience and Social Psychology, having authored 18 papers that have together received 449 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (12 papers), Hormonal Regulation and Hypertension (6 papers), Receptor Mechanisms and Signaling (5 papers), Ion Transport and Channel Regulation (3 papers), Stress Responses and Cortisol (3 papers), Neuroendocrine regulation and behavior (2 papers), Birth, Development, and Health (2 papers) and Dye analysis and toxicity (1 paper). The work is most often cited by research in Behavioral Neuroscience (49 citations), Cardiology and Cardiovascular Medicine (213 citations), Endocrine and Autonomic Systems (57 citations), Endocrinology, Diabetes and Metabolism (108 citations) and Nutrition and Dietetics (76 citations). Daian Chen has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Thomas M. Coffman, Thomas Walther, Geoffrey A. Head, Johannes Stegbauer, Matthew A. Sparks, Robert Griffiths, Susan B. Gurley, Andrew M. Allen, Jaspreet K. Bassi and Dmitry N. Mayorov. Their work appears in journals such as Hypertension, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, The FASEB Journal, Journal of the American Society of Nephrology and Hypertension 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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