Jun Lin
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- PI3K/AKT/mTOR signaling in cancer 9
- CRISPR and Genetic Engineering 4
- Protein Kinase Regulation and GTPase Signaling 3
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- MicroRNA in disease regulation 6
- Cancer-related molecular mechanisms research 4
- Co-authors
- Dandan Li (1 shared paper)Haitao Wang (2 shared papers)Xiaochun Bai (7 shared papers)Zhang Qishan (1 shared paper)Chunhong Jia (5 shared papers)Wenhua Zheng (1 shared paper)Qiang Wen (1 shared paper)Philip Lazarovici (1 shared paper)
- Journals
- ACS Omega (3 papers)Journal of Cellular and Molecular Medicine (3 papers)Frontiers in Cell and Developmental Biology (2 papers)Cellular Signalling (2 papers)Breast Cancer Research and Treatment (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Jun Lin
48 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 123
- Biological Psychiatry 29
- Cancer Research 146
- Molecular Biology 641
- Sensory Systems 33
- Biotechnology 51
Countries citing papers authored by Jun Lin
This map shows the geographic impact of Jun Lin'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 Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Lin more than expected).
Fields of papers citing papers by Jun Lin
This network shows the impact of papers produced by Jun Lin. 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 Lin. The network helps show where Jun Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Lin, 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 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 146 | |
| 2 | 2011 | 129 | |
| 3 | 2012 | 108 | |
| 4 | 2012 | 67 | |
| 5 | 2017 | 62 | |
| 6 | 2013 | 52 | |
| 7 | 2012 | 40 | |
| 8 | 2013 | 38 | |
| 9 | 2016 | 36 | |
| 10 | 2020 | 35 | |
| 11 | 2015 | 32 | |
| 12 | 2019 | 32 | |
| 13 | 2013 | 27 | |
| 14 | 2011 | 26 | |
| 15 | 2021 | 25 | |
| 16 | 2012 | 19 | |
| 17 | 2020 | 18 | |
| 18 | 2018 | 14 | |
| 19 | 2021 | 11 | |
| 20 | 2015 | 11 |
About Jun Lin
Jun Lin is a scholar working on Molecular Biology, Cancer Research, Oncology, Immunology and Pulmonary and Respiratory Medicine, having authored 50 papers that have together received 1.0k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (9 papers), MicroRNA in disease regulation (6 papers), CRISPR and Genetic Engineering (4 papers), Cancer-related molecular mechanisms research (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers), Virus-based gene therapy research (2 papers) and Cancer-related Molecular Pathways (2 papers). The work is most often cited by research in Biological Psychiatry (29 citations), Cancer Research (146 citations), Molecular Biology (641 citations), Sensory Systems (33 citations) and Biotechnology (51 citations). Jun Lin has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Dandan Li, Haitao Wang, Xiaochun Bai, Zhang Qishan, Chunhong Jia, Wenhua Zheng, Qiang Wen, Philip Lazarovici, Hao Jiang and Yongxin Zheng. Their work appears in journals such as ACS Omega, Journal of Cellular and Molecular Medicine, Frontiers in Cell and Developmental Biology, Cellular Signalling and Breast Cancer Research and Treatment.
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.