Nan Sui

2.2k citations
87 papers · 1.7k · h-index 24

Impact in

Papers in

Nan Sui

79 papers receiving 1.7k citations

Peers

Nan Sui
Comparison fields: 5 of 113
  • Behavioral Neuroscience 165
  • Endocrine and Autonomic Systems 258
  • Cognitive Neuroscience 642
  • Cellular and Molecular Neuroscience 590
  • Experimental and Cognitive Psychology 213
Replace Dominic M. Dwyer with:
Dominic M. Dwyer United Kingdom
Leah M. Mayo Sweden
Caitlin M. Vander Weele United States
Jocelyn M. Richard United States
Yann Pelloux France
László Lénárd Hungary
Alexander W. Johnson United States
Jeremy J. Clark United States
Jonathan D. Morrow United States
Daina Economidou Italy
Nan Sui relative to Dominic M. Dwyer United Kingdom Dominic M. Dwyer's profile →
Citations per field
00.5×1.5×
Dominic M. Dwyer · 1×
Citations per year

Countries citing papers authored by Nan Sui

Since Specialization
Citations

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

Fields of papers citing papers by Nan Sui

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013178
2 2010145
3 201389
4 201981
5 200472
6 201067
7 201061
8 201053
9 200943
10 201339
11 201337
12 200436
13 201633
14 201133
15 201233
16 201232
17 200531
18 201230
19 201529
20 201228

About Nan Sui

Nan Sui is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Social Psychology, Behavioral Neuroscience and Molecular Biology, having authored 87 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (27 papers), Neurotransmitter Receptor Influence on Behavior (26 papers), Stress Responses and Cortisol (18 papers), Memory and Neural Mechanisms (18 papers), Neuroendocrine regulation and behavior (16 papers), Receptor Mechanisms and Signaling (9 papers), Sleep and Wakefulness Research (7 papers) and Cannabis and Cannabinoid Research (6 papers). The work is most often cited by research in Behavioral Neuroscience (165 citations), Endocrine and Autonomic Systems (258 citations), Cognitive Neuroscience (642 citations), Cellular and Molecular Neuroscience (590 citations) and Experimental and Cognitive Psychology (213 citations). Nan Sui has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Yonghui Li, Wan-Sen Yan, Yonghui Li, Chuguang Wei, Gilbert J. Kirouac, Sa Li, Huiying Wang, Ming Li, Ning Zhu and Jing Liang. Their work appears in journals such as Journal of Psychopharmacology, Pharmacology Biochemistry and Behavior, European Journal of Pharmacology, Addiction Biology and Progress in Neuro-Psychopharmacology and Biological Psychiatry.

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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