Yuqiang Shi

1.2k total citations
28 papers, 888 citations indexed

About

Yuqiang Shi is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Physiology. According to data from OpenAlex, Yuqiang Shi has authored 28 papers receiving a total of 888 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 9 papers in Cellular and Molecular Neuroscience and 8 papers in Physiology. Recurrent topics in Yuqiang Shi's work include Pain Mechanisms and Treatments (8 papers), Nerve injury and regeneration (5 papers) and Neuropeptides and Animal Physiology (5 papers). Yuqiang Shi is often cited by papers focused on Pain Mechanisms and Treatments (8 papers), Nerve injury and regeneration (5 papers) and Neuropeptides and Animal Physiology (5 papers). Yuqiang Shi collaborates with scholars based in China, United States and Indonesia. Yuqiang Shi's co-authors include Shao‐Jun Tang, Subo Yuan, Joshua G. Lisinicchia, Benjamin B. Gelman, Jianhong Shu, Jin Mo Chung, Susan M. Carlton, Ping Wu, Bei Li and Kaiwen Guo and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Neuroscience.

In The Last Decade

Yuqiang Shi

27 papers receiving 881 citations

Peers

Yuqiang Shi
Comparison fields: 5 of 98
  • Physiology 397
  • Cellular and Molecular Neuroscience 304
  • Molecular Biology 233
  • Neurology 112
  • Neurology 111
Replace Mercedes Serrano with:
Mercedes Serrano Spain
M. Fiori Italy
Meng-Liang Zhao United States
Ke Ren China
Venkat Venkataraman United States
Annika Lekman Sweden
Simonetta Simonetti Italy
Eun-Jeong Yang South Korea
Yaman Lu United States
Jacqueline A. Harrison United States
Mercedes Serrano Spain View profile →
Citations per field, relative to Yuqiang Shi
Yuqiang Shi · 1×
Citations per year, relative to Yuqiang Shi
Yuqiang Shi · 1×

Countries citing papers authored by Yuqiang Shi

Since Specialization
Citations

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

Fields of papers citing papers by Yuqiang Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuqiang Shi

This figure shows the co-authorship network connecting the top 25 collaborators of Yuqiang Shi. A scholar is included among the top collaborators of Yuqiang Shi 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 Yuqiang Shi. Yuqiang Shi 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
# Work Indexed citations
1 0
2 18
3 8
4 11
5 2
6 22
7 19
8 50
9 2
10 51
11 32
12 37
13 49
14 29
15 26
16 78
17 143
18
Activation of the GFRa1/NCAM pathway stimulates Sertoli cell proliferation in vitro
3
19 19
20 39

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026