Nan Song

625 citations
9 papers · 456 indexed · 1 hit paper · h-index 7
Topics
Sleep and related disorders (5 papers)Sleep and Wakefulness Research (5 papers)Mind wandering and attention (4 papers)

In The Last Decade

Nan Song

8 papers receiving 455 citations

Hit Papers

Opioid-free anaesthesia reduces postoperative nausea and ...202320262024202520231020304050

Peers

Nan Song
Comparison fields: 5 of 84
  • Experimental and Cognitive Psychology 245
  • Cognitive Neuroscience 173
  • Clinical Psychology 111
  • Endocrine and Autonomic Systems 74
  • Social Psychology 69
Replace William T. Nay with:
William T. Nay United States
Elliottnell Perez United States
Richard Carciofo China
João Nunes United States
Ingvild Saksvik‐Lehouillier Norway
Giulia Amicucci Italy
David Mastin United States
Faustin Armel Etindele Sosso Canada
William Goodman United Kingdom
Nan Song relative to William T. Nay United States William T. Nay's profile →
Citations per field
00.5×10.7×
William T. Nay · 1×
Citations per year

Countries citing papers authored by Nan Song

Since Specialization
Citations

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

Fields of papers citing papers by Nan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nan Song

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 0
2
Opioid-free anaesthesia reduces postoperative nausea and vomiting after thoracoscopic lung resection: a randomised controlled trialbreakdown →
52
3 4
4 24
5 179
6 26
7 74
8 37
9 60

About Nan Song

Nan Song is a scholar working on Experimental and Cognitive Psychology, Endocrine and Autonomic Systems and Cognitive Neuroscience, having authored 9 papers that have together received 456 indexed citations. Recurring topics across this work include Sleep and related disorders (5 papers), Sleep and Wakefulness Research (5 papers) and Mind wandering and attention (4 papers). The work is most often cited by research in Experimental and Cognitive Psychology (245 citations), Endocrine and Autonomic Systems (74 citations) and Cognitive Neuroscience (173 citations). Nan Song has collaborated with scholars based in China, United States and Czechia. Frequent co-authors include Richard Carciofo, Yun Zhang, Feng Du, Yue Qi, Hong Liu, Ke Peng, Fuhai Ji, Xiaowen Meng, Tianyi Gao and Hongyu Tan. Their work appears in journals such as PLoS ONE, Personality and Individual Differences and British Journal of Anaesthesia.

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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