Yu Mao

1.2k total citations
20 papers, 459 citations indexed

About

Yu Mao is a scholar working on Cellular and Molecular Neuroscience, Physiology and Molecular Biology. According to data from OpenAlex, Yu Mao has authored 20 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cellular and Molecular Neuroscience, 10 papers in Physiology and 5 papers in Molecular Biology. Recurrent topics in Yu Mao's work include Pain Mechanisms and Treatments (9 papers), Neuroscience and Neuropharmacology Research (6 papers) and Neuropeptides and Animal Physiology (5 papers). Yu Mao is often cited by papers focused on Pain Mechanisms and Treatments (9 papers), Neuroscience and Neuropharmacology Research (6 papers) and Neuropeptides and Animal Physiology (5 papers). Yu Mao collaborates with scholars based in China, United States and United Kingdom. Yu Mao's co-authors include Zhi Zhang, Wenjuan Tao, Wenjie Zhou, Haitao Wang, Yan Jin, Wen Xie, Xia Zhu, An Liu, Juan Li and Xulai Zhang and has published in prestigious journals such as Science, Journal of Biological Chemistry and Journal of Clinical Investigation.

In The Last Decade

Yu Mao

19 papers receiving 458 citations

Peers

Yu Mao
Comparison fields: 5 of 71
  • Physiology 217
  • Cellular and Molecular Neuroscience 163
  • Cognitive Neuroscience 116
  • Molecular Biology 76
  • Behavioral Neuroscience 55
Replace Wenjuan Tao with:
Wenjuan Tao China
Jeremy M. Thompson United States
Hélder Cardoso-Cruz Portugal
Gregory A. Chinn United States
Jahrane Dale United States
Linette Liqi Tan Germany
Tamara Markovic United States
Nana Hareyama Japan
Erik Martinez United States
Louise Urien United States
Wenjuan Tao China View profile →
Citations per field, relative to Yu Mao
Yu Mao · 1×
Citations per year, relative to Yu Mao
Yu Mao · 1×

Countries citing papers authored by Yu Mao

Since Specialization
Citations

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

Fields of papers citing papers by Yu Mao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yu Mao

This figure shows the co-authorship network connecting the top 25 collaborators of Yu Mao. A scholar is included among the top collaborators of Yu Mao 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 Yu Mao. Yu Mao 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 19
2 1
3 29
4 69
5 24
6 11
7 8
8 1
9 104
10 15
11 15
12 24
13 2
14 36
15 50
16 16
17 9
18 22
19 0
20
A ‘stagnation’ model for depression: apply TCM concept in treating depression
4

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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