Ji-Wu Shi

21 total papers · 534 total citations
20 papers, 476 citations indexed

About

Ji-Wu Shi is a scholar working on Cellular and Molecular Neuroscience, Physiology and Endocrine and Autonomic Systems. According to data from OpenAlex, Ji-Wu Shi has authored 20 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Cellular and Molecular Neuroscience, 12 papers in Physiology and 10 papers in Endocrine and Autonomic Systems. Recurrent topics in Ji-Wu Shi's work include Neuropeptides and Animal Physiology (12 papers), Stress Responses and Cortisol (8 papers) and Pain Mechanisms and Treatments (8 papers). Ji-Wu Shi is often cited by papers focused on Neuropeptides and Animal Physiology (12 papers), Stress Responses and Cortisol (8 papers) and Pain Mechanisms and Treatments (8 papers). Ji-Wu Shi collaborates with scholars based in China, Japan and United States. Ji-Wu Shi's co-authors include Zhi‐Ren Rao, Hong-Ge Jia, Yun-Qing Li, Zhitao Rao, Liang-Wei Chen, Yun‐Qing Li, Jianren Ye, Bai‐Ren Wang, Ryuichi Shigemoto and Noboru Mizuno and has published in prestigious journals such as The Journal of Comparative Neurology, Brain Research and World Journal of Gastroenterology.

In The Last Decade

Ji-Wu Shi

19 papers receiving 470 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ji-Wu Shi 309 147 136 123 117 20 476
Hong-Ge Jia 336 1.1× 179 1.2× 98 0.7× 128 1.0× 162 1.4× 14 502
F. M. Semenenko 279 0.9× 157 1.1× 69 0.5× 110 0.9× 112 1.0× 20 477
Maria M. Hadjimarkou 185 0.6× 82 0.6× 192 1.4× 122 1.0× 115 1.0× 21 535
Leandro B. Lima 225 0.7× 81 0.6× 137 1.0× 116 0.9× 124 1.1× 16 460
Janaina C. M. Vendruscolo 257 0.8× 81 0.6× 84 0.6× 107 0.9× 105 0.9× 14 502
Olivia Uddin 206 0.7× 236 1.6× 79 0.6× 127 1.0× 100 0.9× 14 500
Mariana Graciela Terenzi 174 0.6× 117 0.8× 164 1.2× 106 0.9× 61 0.5× 24 480
Fabien Naneix 268 0.9× 89 0.6× 124 0.9× 150 1.2× 88 0.8× 17 498
Attilio Iemolo 285 0.9× 115 0.8× 108 0.8× 61 0.5× 124 1.1× 18 512
Christelle Glangetas 253 0.8× 97 0.7× 68 0.5× 197 1.6× 110 0.9× 17 491

Countries citing papers authored by Ji-Wu Shi

Since Specialization
Citations

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

Fields of papers citing papers by Ji-Wu Shi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ji-Wu Shi

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

All Works

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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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