Zhan Shu

1.5k citations
21 papers · 1.1k indexed · 1 hit paper · h-index 13
Topics
Neuroscience and Neuropharmacology Research (5 papers)Neural dynamics and brain function (4 papers)Neurotransmitter Receptor Influence on Behavior (4 papers)
Journals
Nature MedicineSHILAP Revista de lepidopterologíaAnalytical Chemistry
Partner nations
United StatesCanadaChina

In The Last Decade

Zhan Shu

20 papers receiving 1.1k citations

Hit Papers

The Rat Grimace Scale: A Partially Automated Method for Q...20112026201620212011100200300400500

Peers

Zhan Shu
Comparison fields: 5 of 114
  • Small Animals 277
  • Molecular Biology 263
  • Cellular and Molecular Neuroscience 245
  • Physiology 199
  • Genetics 106
Replace Josiane C.S. Mapplebeck with:
Josiane C.S. Mapplebeck Canada
John W. Downie Canada
Jeffrey S. Wieskopf Canada
Christina Schlumbohm Germany
Paulin Jirkof Switzerland
Cholawat Pacharinsak United States
E. Carstens United States
Thomas C. Gent Switzerland
Mariusz Majewski Poland
A. Livingston United Kingdom
Zhan Shu relative to Josiane C.S. Mapplebeck Canada Josiane C.S. Mapplebeck's profile →
Citations per field
00.5×1.5×2.2×
Josiane C.S. Mapplebeck · 1×
Citations per year

Countries citing papers authored by Zhan Shu

Since Specialization
Citations

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

Fields of papers citing papers by Zhan Shu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhan Shu

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 88
2 5
3 2
4 26
5 8
6 25
7 15
8 32
9 36
10 0
11 20
12 60
13
The Rat Grimace Scale: A Partially Automated Method for Quantifying Pain in the Laboratory Rat via Facial Expressionsbreakdown →
596
14 4
15 8
16 33
17 69
18 14
19 45
20 10

About Zhan Shu

Zhan Shu is a scholar working on Biochemistry, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 21 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (5 papers), Neural dynamics and brain function (4 papers) and Neurotransmitter Receptor Influence on Behavior (4 papers). The work is most often cited by research in Equine (64 citations), Small Animals (277 citations) and Behavioral Neuroscience (49 citations). Zhan Shu has collaborated with scholars based in United States, Canada and China. Frequent co-authors include Jason J. McDougall, Robert E. Sorge, Jeffrey S. Mogil, Josiane C.S. Mapplebeck, Peng Wei, Oliver D. King, Shuren Zhang, Loren J. Martin, Jeffrey S. Wieskopf and Alexander H. Tuttle. Their work appears in journals such as Nature Medicine, SHILAP Revista de lepidopterología and Analytical Chemistry.

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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