Shao-Qiu He

2.2k citations
25 papers · 1.6k indexed · 1 hit paper · h-index 18
Topics
Pain Mechanisms and Treatments (21 papers)Neuropeptides and Animal Physiology (11 papers)Receptor Mechanisms and Signaling (6 papers)
Partner nations
United StatesChinaSweden

In The Last Decade

Shao-Qiu He

25 papers receiving 1.5k citations

Hit Papers

A subpopulation of nociceptors specifically linked to itch20122026201620212012100200300400

Peers

Shao-Qiu He
Comparison fields: 5 of 83
  • Physiology 811
  • Cellular and Molecular Neuroscience 720
  • Molecular Biology 580
  • Dermatology 261
  • Pharmacology 221
Replace Timothy V. Hartke with:
Timothy V. Hartke United States
Sergey G. Khasabov United States
Amaury François France
Longzhen Cheng China
Junhui Du United States
Daisuke Uta Japan
Pradipta Ray United States
Alla Khodorova United States
Shao-Qiu He relative to Timothy V. Hartke United States Timothy V. Hartke's profile →
Citations per field
00.5×3.7×
Timothy V. Hartke · 1×
Citations per year

Countries citing papers authored by Shao-Qiu He

Since Specialization
Citations

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

Fields of papers citing papers by Shao-Qiu He

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shao-Qiu He. 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 Shao-Qiu He. The network helps show where Shao-Qiu He may publish in the future.

Co-authorship network of co-authors of Shao-Qiu He

This figure shows the co-authorship network connecting the top 25 collaborators of Shao-Qiu He. A scholar is included among the top collaborators of Shao-Qiu He 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 Shao-Qiu He. Shao-Qiu He 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 3
2 10
3 2
4 33
5 18
6 28
7 11
8 51
9 16
10 44
11 45
12 18
13 60
14 23
15 36
16 22
17 38
18
A subpopulation of nociceptors specifically linked to itchbreakdown →
427
19 179
20 118

About Shao-Qiu He

Shao-Qiu He is a scholar working on Cellular and Molecular Neuroscience, Physiology and Anesthesiology and Pain Medicine, having authored 25 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (21 papers), Neuropeptides and Animal Physiology (11 papers) and Receptor Mechanisms and Signaling (6 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (720 citations), Anesthesiology and Pain Medicine (220 citations) and Sensory Systems (179 citations). Shao-Qiu He has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Yun Guan, Xinzhong Dong, Srinivasa N. Raja, Vinod Tiwari, Zhen‐Ning Zhang, Lan Bao, Fei Yang, Liang Han, Qian Xu and Zhe Li. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Neuron.

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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