Jun Kun Lu
Impact in
- Cancer Research top 5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Air Quality and Health Impacts
Papers in
- Ecology 22
- Forest Insect Ecology and Management 11
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- Air Quality and Health Impacts 13
- Co-authors
- Huang Cheng (13 shared papers)Jun-Hang Luo (22 shared papers)Shengao Jing (10 shared papers)Jinhuan Wei (14 shared papers)Yong Fang (13 shared papers)Zhenhua Chen (15 shared papers)Hongli Wang (11 shared papers)Zihao Feng (13 shared papers)
- Journals
- Oncogene (4 papers)PLoS ONE (3 papers)Cancer Science (3 papers)Global Ecology and Conservation (3 papers)PeerJ (3 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Jun Kun Lu
130 papers receiving 2.4k citations
Jun Kun Lu's Hit Papers
Peers
Comparison fields: 5 of 146
- Cancer Research 380
- Health, Toxicology and Mutagenesis 345
- Atmospheric Science 383
- Automotive Engineering 173
- Molecular Biology 940
Countries citing papers authored by Jun Kun Lu
This map shows the geographic impact of Jun Kun Lu'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 Kun Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jun Kun Lu more than expected).
Fields of papers citing papers by Jun Kun Lu
This network shows the impact of papers produced by Jun Kun Lu. 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 Kun Lu. The network helps show where Jun Kun Lu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jun Kun Lu, 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 134 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 108 | |
| 2 | 2014 | 95 | |
| 3 | 2015 | 93 | |
| 4 | 2019 | 81 | |
| 5 | 2022 | 70 | |
| 6 | 2022 | 69 | |
| 7 | 2006 | 65 | |
| 8 | 2018 | 57 | |
| 9 | 2014 | 55 | |
| 10 | 2016 | 54 | |
| 11 | 2017 | 54 | |
| 12 | Increased urban ozone in heatwaves due to temperature-induced emissions of anthropogenic volatile organic compounds Hit paper breakdown → | 2025 | 53 |
| 13 | 2015 | 52 | |
| 14 | 2011 | 51 | |
| 15 | 2017 | 50 | |
| 16 | 2019 | 50 | |
| 17 | 2007 | 45 | |
| 18 | 2020 | 43 | |
| 19 | 2020 | 41 | |
| 20 | 2014 | 37 |
About Jun Kun Lu
Jun Kun Lu is a scholar working on Ecology, Health, Toxicology and Mutagenesis, Atmospheric Science, Insect Science and Molecular Biology, having authored 134 papers that have together received 2.4k indexed citations. Recurring topics across this work include Atmospheric chemistry and aerosols (14 papers), Air Quality and Health Impacts (13 papers), Forest Insect Ecology and Management (11 papers), Vehicle emissions and performance (10 papers), Insect and Pesticide Research (9 papers), Bladder and Urothelial Cancer Treatments (7 papers), Epigenetics and DNA Methylation (7 papers) and RNA modifications and cancer (6 papers). The work is most often cited by research in Cancer Research (380 citations), Health, Toxicology and Mutagenesis (345 citations), Atmospheric Science (383 citations), Automotive Engineering (173 citations) and Molecular Biology (940 citations). Jun Kun Lu has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Huang Cheng, Jun-Hang Luo, Shengao Jing, Jinhuan Wei, Yong Fang, Zhenhua Chen, Hongli Wang, Zihao Feng, Yigang Tong and Junjie Cen. Their work appears in journals such as Oncogene, PLoS ONE, Cancer Science, Global Ecology and Conservation and PeerJ.
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.