Jun Tan
Impact in
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- Antibiotic Resistance in Bacteria
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- MicroRNA in disease regulation
Papers in
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- RNA modifications and cancer 4
- Kruppel-like factors research 3
- Phytochemical compounds biological activities 3
- Hedgehog Signaling Pathway Studies 3
- Extracellular vesicles in disease 3
- RNA Research and Splicing 2
- Bacterial biofilms and quorum sensing 2
- Advanced biosensing and bioanalysis techniques 2
- Co-authors
- Jidong Zhang (11 shared papers)Zhixu He (4 shared papers)Xiaofang Dai (3 shared papers)Chunyang Li (4 shared papers)Dan Zhang (4 shared papers)Xianyao Wang (6 shared papers)Ziqing Zhu (1 shared paper)Shan Zeng (1 shared paper)
- Journals
- Medicine (2 papers)Asian Journal of Andrology (2 papers)Evidence-based Complementary and Alternative Medicine (2 papers)Protein Expression and Purification (1 paper)Current Microbiology (1 paper)
- Partner nations
- ChinaSingaporeUnited States
In The Last Decade
Jun Tan
34 papers receiving 388 citations
Peers
Comparison fields: 5 of 94
- Molecular Medicine 15
- Cancer Research 39
- Molecular Biology 182
- Reproductive Medicine 21
- Biochemistry 14
Countries citing papers authored by Jun Tan
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
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-authors
The 25 scholars most cited alongside Jun Tan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 97 | |
| 2 | 2023 | 40 | |
| 3 | 2019 | 22 | |
| 4 | 2024 | 15 | |
| 5 | 2017 | 14 | |
| 6 | 2017 | 13 | |
| 7 | 2019 | 12 | |
| 8 | 2023 | 12 | |
| 9 | 2023 | 12 | |
| 10 | 2019 | 11 | |
| 11 | 2023 | 11 | |
| 12 | 2019 | 10 | |
| 13 | 2021 | 10 | |
| 14 | 2021 | 10 | |
| 15 | [Synonymous codon usage bias in the rice cultivar 93-11 (Oryza sativa L. ssp. indica)]. | 2003 | 9 |
| 16 | 2021 | 9 | |
| 17 | 2014 | 8 | |
| 18 | 2018 | 8 | |
| 19 | 2023 | 7 | |
| 20 | 2021 | 7 |
About Jun Tan
Jun Tan is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Ecology and Genetics, having authored 37 papers that have together received 393 indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), Kruppel-like factors research (3 papers), Phytochemical compounds biological activities (3 papers), Hedgehog Signaling Pathway Studies (3 papers), Extracellular vesicles in disease (3 papers), RNA Research and Splicing (2 papers), Bacterial biofilms and quorum sensing (2 papers) and Advanced biosensing and bioanalysis techniques (2 papers). The work is most often cited by research in Molecular Medicine (15 citations), Cancer Research (39 citations), Molecular Biology (182 citations), Reproductive Medicine (21 citations) and Biochemistry (14 citations). Jun Tan has collaborated with scholars based in China, Singapore and United States. Frequent co-authors include Jidong Zhang, Zhixu He, Xiaofang Dai, Chunyang Li, Dan Zhang, Xianyao Wang, Ziqing Zhu, Shan Zeng, Hong Shen and Yuqi He. Their work appears in journals such as Medicine, Asian Journal of Andrology, Evidence-based Complementary and Alternative Medicine, Protein Expression and Purification and Current Microbiology.
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.