Nan Sui

2.2k citations
87 papers · 1.7k · h-index 23

Impact in

Papers in

Nan Sui

78 papers receiving 1.6k citations

Peers

Nan Sui
Comparison fields: 5 of 113
  • Behavioral Neuroscience 177
  • Endocrine and Autonomic Systems 277
  • Cognitive Neuroscience 681
  • Cellular and Molecular Neuroscience 637
  • Experimental and Cognitive Psychology 244
Replace Dominic M. Dwyer with:
Dominic M. Dwyer United Kingdom
Leah M. Mayo Sweden
Jeremy J. Clark United States
Yann Pelloux France
Caitlin M. Vander Weele United States
Andrew M. Farrar United States
Jocelyn M. Richard United States
Teresa R. Franklin United States
Jonathan D. Morrow United States
Andrew R. Delamater United States
Nan Sui relative to Dominic M. Dwyer United Kingdom Dominic M. Dwyer's profile →
Citations per field
00.5×1.6×
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 2013177
2 2010145
3 201389
4 201980
5 200472
6 201067
7 201061
8 201052
9 200943
10 201337
11 201337
12 200436
13 201133
14 201633
15 201232
16 201231
17 200530
18 201529
19 201229
20 201228

About Nan Sui

Nan Sui is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Molecular Biology, Social Psychology and Behavioral Neuroscience, having authored 87 papers that have together received 1.7k indexed citations. Recurring topics across this work include Neurotransmitter Receptor Influence on Behavior (28 papers), Neuroscience and Neuropharmacology Research (28 papers), Memory and Neural Mechanisms (19 papers), Stress Responses and Cortisol (18 papers), Neuroendocrine regulation and behavior (16 papers), Receptor Mechanisms and Signaling (11 papers), Sleep and Wakefulness Research (7 papers) and Prenatal Substance Exposure Effects (6 papers). The work is most often cited by research in Behavioral Neuroscience (177 citations), Endocrine and Autonomic Systems (277 citations), Cognitive Neuroscience (681 citations), Cellular and Molecular Neuroscience (637 citations) and Experimental and Cognitive Psychology (244 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, Progress in Neuro-Psychopharmacology and Biological Psychiatry and Addiction Biology.

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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