Juan Yao

442 total citations
47 papers, 284 citations indexed

About

Juan Yao is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience and Dermatology. According to data from OpenAlex, Juan Yao has authored 47 papers receiving a total of 284 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Cognitive Neuroscience, 10 papers in Cellular and Molecular Neuroscience and 9 papers in Dermatology. Recurrent topics in Juan Yao's work include Memory and Neural Mechanisms (11 papers), Neuroscience and Neuropharmacology Research (10 papers) and Dermatology and Skin Diseases (9 papers). Juan Yao is often cited by papers focused on Memory and Neural Mechanisms (11 papers), Neuroscience and Neuropharmacology Research (10 papers) and Dermatology and Skin Diseases (9 papers). Juan Yao collaborates with scholars based in China, United States and Hong Kong. Juan Yao's co-authors include Guangyan Wu, Bing Wu, Shulei Liu, Shizhong Zhang, Hui Zhai, Yi Yang, Xuan Li, Xuan Li, Bo Hu and Boyang Liu and has published in prestigious journals such as PLoS ONE, Scientific Reports and Physical Review A.

In The Last Decade

Juan Yao

42 papers receiving 281 citations

Peers

Juan Yao
Comparison fields: 5 of 69
  • Cellular and Molecular Neuroscience 108
  • Cognitive Neuroscience 89
  • Neurology 56
  • Dermatology 51
  • Atomic and Molecular Physics, and Optics 50
Replace Vera Maura Fernandes de Lima with:
Vera Maura Fernandes de Lima Germany
Zhe Zhao China
Zhimo Yao China
Jianguang Ni United States
Gilles de Hollander Netherlands
Fiona E. Müllner Germany
David Tsay United States
Renée S. Koolschijn United Kingdom
Elizabeth Bock Canada
Gonzalo Martín-Vázquez Spain
Vera Maura Fernandes de Lima Germany View profile →
Citations per field, relative to Juan Yao
Juan Yao · 1×
Citations per year, relative to Juan Yao
Juan Yao · 1×

Countries citing papers authored by Juan Yao

Since Specialization
Citations

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

Fields of papers citing papers by Juan Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Juan Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Juan Yao. A scholar is included among the top collaborators of Juan Yao 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 Juan Yao. Juan Yao 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 0
4 3
5 4
6 4
7 2
8 0
9 7
10 10
11 16
12 12
13 9
14 4
15 4
16 2
17 24
18 1
19
Design and implementation of data acquisition system based on LabVIEW and TCP
1
20
InfoGuard: A Process-Centric Rule-Based Approach for Managing Information Quality.
1

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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