Junlan Zhu
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 10%
- RNA modifications and cancer
- Circular RNAs in diseases
- Ubiquitin and proteasome pathways
- Epigenetics and DNA Methylation
- RNA Research and Splicing
Papers in
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- RNA modifications and cancer 10
- Ubiquitin and proteasome pathways 7
- Circular RNAs in diseases 5
- Epigenetics and DNA Methylation 5
- RNA Research and Splicing 4
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- MicroRNA in disease regulation 7
- Co-authors
- Chuanshu Huang (24 shared papers)Haishan Huang (21 shared papers)Honglei Jin (17 shared papers)Jingxia Li (17 shared papers)Zhongxian Tian (17 shared papers)Jiheng Xu (13 shared papers)Jingxia Li (6 shared papers)Chao Huang (9 shared papers)
- Journals
- Oncogene (3 papers)Oncotarget (2 papers)Autophagy (2 papers)Neoplasia (2 papers)Cancer Cell International (2 papers)
- Partner nations
- ChinaUnited StatesItaly
In The Last Decade
Junlan Zhu
40 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 93
- Cancer Research 479
- Molecular Biology 808
- Geriatrics and Gerontology 27
- Epidemiology 241
- Physiology 32
Countries citing papers authored by Junlan Zhu
This map shows the geographic impact of Junlan Zhu'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 Junlan Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junlan Zhu more than expected).
Fields of papers citing papers by Junlan Zhu
This network shows the impact of papers produced by Junlan Zhu. 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 Junlan Zhu. The network helps show where Junlan Zhu may publish in the future.
Co-authors
The 25 scholars most cited alongside Junlan Zhu, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 109 | |
| 2 | 2016 | 103 | |
| 3 | 2016 | 81 | |
| 4 | 2016 | 73 | |
| 5 | 2019 | 71 | |
| 6 | 2015 | 54 | |
| 7 | 2017 | 53 | |
| 8 | 2017 | 52 | |
| 9 | 2019 | 47 | |
| 10 | 2021 | 41 | |
| 11 | 2019 | 40 | |
| 12 | 2018 | 38 | |
| 13 | 2014 | 34 | |
| 14 | 2023 | 34 | |
| 15 | 2017 | 33 | |
| 16 | 2017 | 32 | |
| 17 | 2016 | 29 | |
| 18 | 2015 | 28 | |
| 19 | 2017 | 27 | |
| 20 | 2016 | 27 |
About Junlan Zhu
Junlan Zhu is a scholar working on Molecular Biology, Cancer Research, Epidemiology, Oncology and Surgery, having authored 42 papers that have together received 1.3k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (10 papers), RNA modifications and cancer (10 papers), Ubiquitin and proteasome pathways (7 papers), MicroRNA in disease regulation (7 papers), Circular RNAs in diseases (5 papers), Cancer-related Molecular Pathways (5 papers), Epigenetics and DNA Methylation (5 papers) and RNA Research and Splicing (4 papers). The work is most often cited by research in Cancer Research (479 citations), Molecular Biology (808 citations), Geriatrics and Gerontology (27 citations), Epidemiology (241 citations) and Physiology (32 citations). Junlan Zhu has collaborated with scholars based in China, United States and Italy. Frequent co-authors include Chuanshu Huang, Haishan Huang, Honglei Jin, Jingxia Li, Zhongxian Tian, Jiheng Xu, Jingxia Li, Chao Huang, Xiaohui Hua and Guosong Jiang. Their work appears in journals such as Oncogene, Oncotarget, Autophagy, Neoplasia and Cancer Cell International.
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.