Xin‐Lei Guan

770 total citations
40 papers, 604 citations indexed

About

Xin‐Lei Guan is a scholar working on Molecular Biology, Computational Mechanics and Physiology. According to data from OpenAlex, Xin‐Lei Guan has authored 40 papers receiving a total of 604 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 7 papers in Computational Mechanics and 7 papers in Physiology. Recurrent topics in Xin‐Lei Guan's work include Fluid Dynamics and Turbulent Flows (7 papers), Redox biology and oxidative stress (7 papers) and Sulfur Compounds in Biology (7 papers). Xin‐Lei Guan is often cited by papers focused on Fluid Dynamics and Turbulent Flows (7 papers), Redox biology and oxidative stress (7 papers) and Sulfur Compounds in Biology (7 papers). Xin‐Lei Guan collaborates with scholars based in China and United States. Xin‐Lei Guan's co-authors include Jianguo Chen, Fang Wang, Pengfei Wu, Zhuang‐Li Hu, Li‐Hong Long, Jun Zhou, Pengfei Wu, Nan Jiang, Mingxing Li and Na Xie and has published in prestigious journals such as Journal of Medicinal Chemistry, Journal of Neurochemistry and British Journal of Pharmacology.

In The Last Decade

Xin‐Lei Guan

34 papers receiving 592 citations

Peers

Xin‐Lei Guan
Comparison fields: 5 of 109
  • Molecular Biology 218
  • Biochemistry 115
  • Physiology 100
  • Pharmacology 84
  • Cellular and Molecular Neuroscience 75
Replace Bárbara Tagliari with:
Bárbara Tagliari Brazil
Gabriel Tavares do Vale Brazil
Lihang Yao United States
Laura C. Berumen Mexico
Michał Prendecki Poland
Norihito Murayama Japan
Jennifer Tremblay‐Mercier Canada
Nopporn Thangthaeng United States
Penny A. Dacks United States
Yury G. Kaminsky Russia
Bárbara Tagliari Brazil View profile →
Citations per field, relative to Xin‐Lei Guan
Xin‐Lei Guan · 1×
Citations per year, relative to Xin‐Lei Guan
Xin‐Lei Guan · 1×

Countries citing papers authored by Xin‐Lei Guan

Since Specialization
Citations

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

Fields of papers citing papers by Xin‐Lei Guan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xin‐Lei Guan. 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 Xin‐Lei Guan. The network helps show where Xin‐Lei Guan may publish in the future.

Co-authorship network of co-authors of Xin‐Lei Guan

This figure shows the co-authorship network connecting the top 25 collaborators of Xin‐Lei Guan. A scholar is included among the top collaborators of Xin‐Lei Guan 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 Xin‐Lei Guan. Xin‐Lei Guan 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 13
3 2
4 6
5 31
6 5
7 5
8 8
9 47
10 25
11 21
12 16
13 12
14 63
15 1
16 37
17 1
18 28
19 16
20 10

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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