Yunlong Tan

8.6k total citations · 1 hit paper
228 papers, 3.5k citations indexed

About

Yunlong Tan is a scholar working on Psychiatry and Mental health, Cognitive Neuroscience and Biological Psychiatry. According to data from OpenAlex, Yunlong Tan has authored 228 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 81 papers in Psychiatry and Mental health, 65 papers in Cognitive Neuroscience and 53 papers in Biological Psychiatry. Recurrent topics in Yunlong Tan's work include Schizophrenia research and treatment (59 papers), Tryptophan and brain disorders (53 papers) and Functional Brain Connectivity Studies (48 papers). Yunlong Tan is often cited by papers focused on Schizophrenia research and treatment (59 papers), Tryptophan and brain disorders (53 papers) and Functional Brain Connectivity Studies (48 papers). Yunlong Tan collaborates with scholars based in China, United States and United Kingdom. Yunlong Tan's co-authors include Li Tian, Yi Yuan, Zhiren Wang, Fude Yang, Shuping Tan, Fengmei Fan, Xingguang Luο, Dachun Chen, Jair C. Soares and L. Elliot Hong and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Yunlong Tan

210 papers receiving 3.4k citations

Hit Papers

Microglial regional heterogeneity and its role in the brain 2019 2026 2021 2023 2019 100 200 300

Peers

Yunlong Tan
Comparison fields: 5 of 157
  • Psychiatry and Mental health 824
  • Cognitive Neuroscience 812
  • Biological Psychiatry 689
  • Molecular Biology 563
  • Neurology 517
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Vanessa Cropley Australia View profile →
Citations per field, relative to Yunlong Tan
Yunlong Tan · 1×
Citations per year, relative to Yunlong Tan
Yunlong Tan · 1×

Countries citing papers authored by Yunlong Tan

Since Specialization
Citations

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

Fields of papers citing papers by Yunlong Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yunlong Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Yunlong Tan. A scholar is included among the top collaborators of Yunlong Tan 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 Yunlong Tan. Yunlong Tan 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 1
3 4
4 3
5 9
6 10
7 30
8 28
9 15
10 1
11 10
12 1
13 25
14 2
15 4
16 5
17 3
18 3
19
[Regional differences on patterns of physical activity and leisure sedentary time: findings from the China Kadoorie Biobank study, including a million people from 10 regions].
10
20 2

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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