Tian‐Le Xu

6.0k total citations
169 papers, 4.6k citations indexed

About

Tian‐Le Xu is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Physiology. According to data from OpenAlex, Tian‐Le Xu has authored 169 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 90 papers in Cellular and Molecular Neuroscience, 89 papers in Molecular Biology and 35 papers in Physiology. Recurrent topics in Tian‐Le Xu's work include Neuroscience and Neuropharmacology Research (80 papers), Ion channel regulation and function (57 papers) and Ion Transport and Channel Regulation (29 papers). Tian‐Le Xu is often cited by papers focused on Neuroscience and Neuropharmacology Research (80 papers), Ion channel regulation and function (57 papers) and Ion Transport and Channel Regulation (29 papers). Tian‐Le Xu collaborates with scholars based in China, United States and Japan. Tian‐Le Xu's co-authors include Neng Gong, Weiguang Li, Lin Xu, Ye Yu, Norio Akaike, Wei‐Guang Li, Guangyi Zhang, Hui Cao, Qiu‐Hua Guan and Lin Chen and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Tian‐Le Xu

157 papers receiving 4.5k citations

Peers

Tian‐Le Xu
Comparison fields: 5 of 146
  • Molecular Biology 2.1k
  • Cellular and Molecular Neuroscience 1.9k
  • Physiology 945
  • Cognitive Neuroscience 620
  • Neurology 524
Replace Paul L. Chazot with:
Paul L. Chazot United Kingdom
Jianhong Luo China
Maria Grazia Giovannini Italy
Liam Drew United Kingdom
Zhi‐Gang Xiong United States
Joseph W. Harding United States
Zhong‐Ping Feng Canada
John J. Woodward United States
Miklós Antal Hungary
Paul L. Chazot United Kingdom View profile →
Citations per field, relative to Tian‐Le Xu
Tian‐Le Xu · 1×
Citations per year, relative to Tian‐Le Xu
Tian‐Le Xu · 1×

Countries citing papers authored by Tian‐Le Xu

Since Specialization
Citations

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

Fields of papers citing papers by Tian‐Le Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tian‐Le Xu. 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 Tian‐Le Xu. The network helps show where Tian‐Le Xu may publish in the future.

Co-authorship network of co-authors of Tian‐Le Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Tian‐Le Xu. A scholar is included among the top collaborators of Tian‐Le Xu 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 Tian‐Le Xu. Tian‐Le Xu 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 2
3 3
4 8
5 34
6 0
7 8
8 9
9 4
10 17
11 35
12 19
13 53
14 24
15 11
16 15
17 52
18 43
19 69
20 12

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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