Jun Lin
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- Circular RNAs in diseases
- RNA modifications and cancer
- Mitochondrial Function and Pathology
- Epigenetics and DNA Methylation
Papers in
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- Epigenetics and DNA Methylation 7
-
- MicroRNA in disease regulation 13
- Cancer-related molecular mechanisms research 9
- Co-authors
- Longyun Peng (4 shared papers)Xiuren Gao (4 shared papers)Jian Gu (2 shared papers)Xifeng Wu (5 shared papers)Zhiyi Zuo (3 shared papers)Youqin Yan (4 shared papers)Yadong Gao (3 shared papers)Xuyu He (2 shared papers)
- Journals
- Carcinogenesis (3 papers)European Journal of Pharmacology (2 papers)Oncology Reports (2 papers)Ophthalmology (2 papers)Signal Transduction and Targeted Therapy (2 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Jun Lin
112 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 136
- Cancer Research 809
- Molecular Biology 1.3k
- Infectious Diseases 333
- Oncology 351
- Cardiology and Cardiovascular Medicine 277
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 117 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 228 | |
| 2 | 2010 | 175 | |
| 3 | 2020 | 154 | |
| 4 | 2014 | 139 | |
| 5 | 2013 | 127 | |
| 6 | 2010 | 118 | |
| 7 | 2011 | 104 | |
| 8 | 2011 | 95 | |
| 9 | 2009 | 80 | |
| 10 | 2010 | 75 | |
| 11 | 2007 | 71 | |
| 12 | 2020 | 70 | |
| 13 | 2020 | 68 | |
| 14 | 2018 | 64 | |
| 15 | 2021 | 46 | |
| 16 | 2008 | 39 | |
| 17 | 2022 | 39 | |
| 18 | 2011 | 34 | |
| 19 | 2011 | 32 | |
| 20 | 1997 | 32 |
About Jun Lin
Jun Lin is a scholar working on Molecular Biology, Cancer Research, Oncology, Pulmonary and Respiratory Medicine and Surgery, having authored 117 papers that have together received 2.6k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (13 papers), Cancer-related molecular mechanisms research (9 papers), Gastric Cancer Management and Outcomes (8 papers), COVID-19 Clinical Research Studies (8 papers), Epigenetics and DNA Methylation (7 papers), T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (7 papers) and Long-Term Effects of COVID-19 (6 papers). The work is most often cited by research in Cancer Research (809 citations), Molecular Biology (1.3k citations), Infectious Diseases (333 citations), Oncology (351 citations) and Cardiology and Cardiovascular Medicine (277 citations). Jun Lin has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Longyun Peng, Xiuren Gao, Jian Gu, Xifeng Wu, Zhiyi Zuo, Youqin Yan, Yadong Gao, Xuyu He, Haiping Zhang and C. G. Wood. Their work appears in journals such as Carcinogenesis, European Journal of Pharmacology, Oncology Reports, Ophthalmology and Signal Transduction and Targeted Therapy.
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.