Yanping Gu

1.7k citations
36 papers · 1.3k · h-index 21

Impact in

Papers in

Yanping Gu

33 papers receiving 1.3k citations

Peers

Yanping Gu
Comparison fields: 5 of 116
  • Physiology 191
  • Developmental Neuroscience 163
  • Cellular and Molecular Neuroscience 561
  • Physiology 533
  • Sensory Systems 76
Replace Martin J. Stebbing with:
Martin J. Stebbing Australia
Daniel C. Broom United States
Zhou Fei China
Baohua Cheng China
Fang‐Xiong Zhang Canada
Yan‐Ai Mei China
Nidia Quillinan United States
Sarah M. Sweitzer United States
Hitoshi Ishibashi Japan
Tianwen Huang China
Yanping Gu relative to Martin J. Stebbing Australia Martin J. Stebbing's profile →
Citations per field
00.5×2.7×
Martin J. Stebbing · 1×
Citations per year

Countries citing papers authored by Yanping Gu

Since Specialization
Citations

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

Fields of papers citing papers by Yanping Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Yanping Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Yanping Gu Line = papers co-authored together Yanping Gu links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002172
2 2013168
3 2008116
4 2005102
5 201181
6 200779
7 201074
8 200369
9 199847
10 199145
11 200144
12 201635
13 201733
14 199832
15 201829
16 201229
17 200226
18 201726
19 200523
20 201620

About Yanping Gu

Yanping Gu is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Physiology, Physiology and Endocrine and Autonomic Systems, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (10 papers), Neuropeptides and Animal Physiology (7 papers), Adenosine and Purinergic Signaling (5 papers), Nerve injury and regeneration (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Ion channel regulation and function (4 papers), Biochemical Analysis and Sensing Techniques (3 papers) and Receptor Mechanisms and Signaling (3 papers). The work is most often cited by research in Physiology (191 citations), Developmental Neuroscience (163 citations), Cellular and Molecular Neuroscience (561 citations), Physiology (533 citations) and Sensory Systems (76 citations). Yanping Gu has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Li-Yen Mae Huang, Li-Yen Huang, Congying Wang, Yong Chen, Guangwen Li, Yong Chen, Richard E. Coggeshall, Li Huang, Ping Wu and Yongjia Yu. Their work appears in journals such as Pain, Molecular Pain, Journal of Surgical Research, Biochemical Pharmacology and The Journal of Physiology.

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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