Jun Tan

1.1k total citations · 1 hit paper
33 papers, 800 citations indexed

About

Jun Tan is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Immunology. According to data from OpenAlex, Jun Tan has authored 33 papers receiving a total of 800 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Reproductive Medicine, 16 papers in Public Health, Environmental and Occupational Health and 13 papers in Immunology. Recurrent topics in Jun Tan's work include Reproductive Biology and Fertility (14 papers), Ovarian function and disorders (9 papers) and Reproductive System and Pregnancy (8 papers). Jun Tan is often cited by papers focused on Reproductive Biology and Fertility (14 papers), Ovarian function and disorders (9 papers) and Reproductive System and Pregnancy (8 papers). Jun Tan collaborates with scholars based in China, Netherlands and United States. Jun Tan's co-authors include Shengping Hou, Wei Qian, Xuefeng Wang, Jun Wang, Wenlin Xu, Jianguo Chen, Shengjun Wang, Wei Fan, Siyuan He and Qiaoyun Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Nanotechnology and Genome biology.

In The Last Decade

Jun Tan

30 papers receiving 799 citations

Hit Papers

YY1 lactylation in microglia promotes angiogenesis throug... 2023 2026 2024 2025 2023 50 100 150

Peers

Jun Tan
Comparison fields: 5 of 84
  • Molecular Biology 332
  • Immunology 244
  • Cancer Research 201
  • Reproductive Medicine 143
  • Public Health, Environmental and Occupational Health 119
Replace Fangfang Dai with:
Fangfang Dai China
Sascha Hasan United States
Silvana Sacchetti Brazil
Wujun Xue China
Norio Takamoto Japan
Parmeet K. Manchanda India
Cécile Notarnicola France
Fangfang Dai China 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 0
2 0
3 1
4 6
5 20
6 3
7 25
8 11
9 8
10 4
11 19
12 7
13 105
14 6
15 43
16 7
17 10
18 10
19 47
20 15

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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