Jun Tan

7.0k total citations · 1 hit paper
61 papers, 5.4k citations indexed

About

Jun Tan is a scholar working on Physiology, Neurology and Molecular Biology. According to data from OpenAlex, Jun Tan has authored 61 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Physiology, 24 papers in Neurology and 15 papers in Molecular Biology. Recurrent topics in Jun Tan's work include Alzheimer's disease research and treatments (35 papers), Neuroinflammation and Neurodegeneration Mechanisms (24 papers) and Tryptophan and brain disorders (9 papers). Jun Tan is often cited by papers focused on Alzheimer's disease research and treatments (35 papers), Neuroinflammation and Neurodegeneration Mechanisms (24 papers) and Tryptophan and brain disorders (9 papers). Jun Tan collaborates with scholars based in United States, China and Japan. Jun Tan's co-authors include Terrence Town, Brian Giunta, William V. Nikolic, Huayan Hou, Jared Ehrhart, Kavon Rezai‐Zadeh, R. Douglas Shytle, Jin Zeng, Takashi Mori and Demian Obregon and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Nature Medicine.

In The Last Decade

Jun Tan

59 papers receiving 5.3k citations

Hit Papers

Green Tea Epigallocatechin-3-Gallate (EGCG) Modulates Amy... 2005 2026 2012 2019 2005 100 200 300 400 500

Peers

Jun Tan
Comparison fields: 5 of 133
  • Physiology 2.5k
  • Neurology 1.8k
  • Molecular Biology 1.6k
  • Pharmacology 719
  • Biological Psychiatry 693
Replace Ágnes Simonyi with:
Ágnes Simonyi United States
Francesca Bosetti United States
Kavon Rezai‐Zadeh United States
Seong‐Ho Koh South Korea
Robert Veerhuis Netherlands
Zhiyou Cai China
Colin K. Combs United States
Lap Ho United States
Simonetta Camandola United States
Yansheng Du United States
Ágnes Simonyi United States View profile →
Citations per field, relative to Jun Tan
Jun Tan · 1×
Citations per year, relative to Jun Tan
Jun Tan · 1×

Countries citing papers authored by Jun Tan

Since Specialization
Citations

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

Fields of papers citing papers by Jun Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Tan. A scholar is included among the top collaborators of Jun 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 Jun Tan. Jun 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 22
2 69
3 4
4 204
5 98
6 25
7 229
8 34
9 146
10 101
11 23
12 96
13 112
14 67
15 89
16 128
17 60
18 461
19 98
20 42

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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