Le Xiao

964 total citations
33 papers, 682 citations indexed

About

Le Xiao is a scholar working on Molecular Biology, Infectious Diseases and Endocrinology. According to data from OpenAlex, Le Xiao has authored 33 papers receiving a total of 682 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Infectious Diseases and 7 papers in Endocrinology. Recurrent topics in Le Xiao's work include Escherichia coli research studies (7 papers), Viral gastroenteritis research and epidemiology (7 papers) and Botulinum Toxin and Related Neurological Disorders (4 papers). Le Xiao is often cited by papers focused on Escherichia coli research studies (7 papers), Viral gastroenteritis research and epidemiology (7 papers) and Botulinum Toxin and Related Neurological Disorders (4 papers). Le Xiao collaborates with scholars based in China, Switzerland and Belarus. Le Xiao's co-authors include Peter Scheiffele, Caroline Bornmann, Wei Tu, Kun Cai, Qin Wang, Yun Liu, Ralf Schneggenburger, Yaxin Shi, Nicolas Michalski and Graham Knott and has published in prestigious journals such as Nature Communications, Nature Neuroscience and Biochemical and Biophysical Research Communications.

In The Last Decade

Le Xiao

31 papers receiving 674 citations

Peers

Le Xiao
Comparison fields: 5 of 97
  • Molecular Biology 181
  • Infectious Diseases 129
  • Endocrinology 128
  • Cellular and Molecular Neuroscience 120
  • Biomedical Engineering 105
Replace Christopher T. French with:
Christopher T. French United States
Lindsay Gray United States
Joanne D. Andreadis United States
Cuilan Liu China
Maya Yankova United States
Xi Lin China
Roger MacKenzie Canada
Hideki Iwamoto United States
Emmanuel Eugène France
Sripriya Ravindra Kumar United States
Christopher T. French United States View profile →
Citations per field, relative to Le Xiao
Le Xiao · 1×
Citations per year, relative to Le Xiao
Le Xiao · 1×

Countries citing papers authored by Le Xiao

Since Specialization
Citations

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

Fields of papers citing papers by Le Xiao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Le Xiao

This figure shows the co-authorship network connecting the top 25 collaborators of Le Xiao. A scholar is included among the top collaborators of Le Xiao 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 Le Xiao. Le Xiao 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 0
3 4
4 20
5 17
6 62
7 10
8 12
9 49
10 35
11 78
12 5
13 20
14 18
15 28
16 9
17 8
18 43
19 44
20 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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