Jun Ren
Impact in
- Bioengineering top 10%
- Analytical Chemistry and Sensors
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- Computational Drug Discovery Methods
Papers in
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- Bioinformatics and Genomic Networks 5
- Machine Learning in Bioinformatics 4
- Single-cell and spatial transcriptomics 3
- Microbial Metabolic Engineering and Bioproduction 3
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- Advanced battery technologies research 3
- Co-authors
- Dokyun Na (2 shared papers)Kosei Hirakawa (1 shared paper)Myeong‐Sang Yu (1 shared paper)Xiaotian Zhang (1 shared paper)Masakazu Yashiro (1 shared paper)Jinbo Xiong (5 shared papers)Zhiqiang Yao (3 shared papers)Jianxin Wang (4 shared papers)
- Journals
- BioMed Research International (2 papers)Physica B Condensed Matter (1 paper)Journal of Biomedical Informatics (1 paper)Journal of Translational Medicine (1 paper)The Ocular Surface (1 paper)
- Partner nations
- ChinaSouth KoreaUnited Kingdom
In The Last Decade
Jun Ren
28 papers receiving 443 citations
Peers
Comparison fields: 5 of 95
- Bioengineering 36
- Computational Theory and Mathematics 73
- Pharmacology 33
- Molecular Biology 179
- Computer Science Applications 15
Countries citing papers authored by Jun Ren
This map shows the geographic impact of Jun Ren'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 Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Ren more than expected).
Fields of papers citing papers by Jun Ren
This network shows the impact of papers produced by Jun Ren. 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 Ren. The network helps show where Jun Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Ren, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 95 | |
| 2 | 2006 | 77 | |
| 3 | 2020 | 57 | |
| 4 | 2011 | 42 | |
| 5 | 2017 | 27 | |
| 6 | 2020 | 25 | |
| 7 | 2022 | 20 | |
| 8 | 2017 | 19 | |
| 9 | 2021 | 14 | |
| 10 | 2016 | 12 | |
| 11 | 2020 | 12 | |
| 12 | 2016 | 10 | |
| 13 | Research progress on secure data deduplication in cloud | 2016 | 6 |
| 14 | 2021 | 5 | |
| 15 | 2019 | 5 | |
| 16 | 2023 | 4 | |
| 17 | [miR-148b-3p inhibits the proliferation and autophagy of acute myeloid leukemia cells by targeting ATG14]. | 2021 | 4 |
| 18 | 2014 | 3 | |
| 19 | 2014 | 3 | |
| 20 | 2022 | 3 |
About Jun Ren
Jun Ren is a scholar working on Molecular Biology, Electrical and Electronic Engineering, Artificial Intelligence, Computational Theory and Mathematics and Electronic, Optical and Magnetic Materials, having authored 31 papers that have together received 453 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (5 papers), Computational Drug Discovery Methods (4 papers), Machine Learning in Bioinformatics (4 papers), Single-cell and spatial transcriptomics (3 papers), Privacy-Preserving Technologies in Data (3 papers), Cloud Data Security Solutions (3 papers), Advanced battery technologies research (3 papers) and Microbial Metabolic Engineering and Bioproduction (3 papers). The work is most often cited by research in Bioengineering (36 citations), Computational Theory and Mathematics (73 citations), Pharmacology (33 citations), Molecular Biology (179 citations) and Computer Science Applications (15 citations). Jun Ren has collaborated with scholars based in China, South Korea and United Kingdom. Frequent co-authors include Dokyun Na, Kosei Hirakawa, Myeong‐Sang Yu, Xiaotian Zhang, Masakazu Yashiro, Jinbo Xiong, Zhiqiang Yao, Jianxin Wang, Junjing Zhou and Zili Zhang. Their work appears in journals such as BioMed Research International, Physica B Condensed Matter, Journal of Biomedical Informatics, Journal of Translational Medicine and The Ocular Surface.
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.