Pei Tang

6.0k total citations
210 papers, 4.7k citations indexed

About

Pei Tang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Spectroscopy. According to data from OpenAlex, Pei Tang has authored 210 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 92 papers in Molecular Biology, 39 papers in Cellular and Molecular Neuroscience and 34 papers in Spectroscopy. Recurrent topics in Pei Tang's work include Nicotinic Acetylcholine Receptors Study (53 papers), Ion channel regulation and function (44 papers) and Receptor Mechanisms and Signaling (34 papers). Pei Tang is often cited by papers focused on Nicotinic Acetylcholine Receptors Study (53 papers), Ion channel regulation and function (44 papers) and Receptor Mechanisms and Signaling (34 papers). Pei Tang collaborates with scholars based in United States, China and Singapore. Pei Tang's co-authors include Yan Xu, David D. Mowrey, Lu Tian Liu, Serguei Liachenko, Tommy S. Tillman, Jilei Liu, Qiang Chen, Vasyl Bondarenko, Mary Hongying Cheng and Dan Willenbring and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Pei Tang

206 papers receiving 4.7k citations

Peers

Pei Tang
Comparison fields: 5 of 163
  • Molecular Biology 2.3k
  • Cellular and Molecular Neuroscience 880
  • Electrical and Electronic Engineering 658
  • Spectroscopy 602
  • Materials Chemistry 583
Yuhong Liu China
Satoru Kato Japan
Ke Xu United States
Yasuyuki Ishikawa Japan
Kishore Bhakoo Singapore
Tae Hyun Kim South Korea
Takeshi Sakamoto Japan
Akira Kishimoto Japan
Junjie Hao China
Dieter G. Weiss Germany
Yuhong Liu China View profile →
Citations per field, relative to Pei Tang
Pei Tang · 1×
Citations per year, relative to Pei Tang
Pei Tang · 1×

Countries citing papers authored by Pei Tang

Since Specialization
Citations

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

Fields of papers citing papers by Pei Tang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pei Tang

This figure shows the co-authorship network connecting the top 25 collaborators of Pei Tang. A scholar is included among the top collaborators of Pei Tang 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 Pei Tang. Pei Tang 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 15
3 5
4 0
5 59
6 40
7 21
8 30
9 70
10 190
11 39
12 208
13 18
14
Convolution with even-sized kernels and symmetric padding
10
15 2
16 17
17 8
18 5
19 3
20 3

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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