Junjun Liu
Impact in
- Cell Biology top 10%
- Microtubule and mitosis dynamics
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
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- Ubiquitin and proteasome pathways 4
- Circular RNAs in diseases 3
- RNA Research and Splicing 2
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- Breast Cancer Treatment Studies 3
- MicroRNA in disease regulation 2
- Cancer-related molecular mechanisms research 2
- Co-authors
- Chuanmao Zhang (5 shared papers)Qing Jiang (4 shared papers)Xiaoyan Zhang (3 shared papers)Gang Wang (2 shared papers)Boyan Zhang (2 shared papers)Qiang Chen (2 shared papers)Qiang Chen (1 shared paper)Junjie Hou (1 shared paper)
- Journals
- Journal of Cell Science (2 papers)Frontiers in Genetics (1 paper)The Journal of Cell Biology (1 paper)Cellular and Molecular Life Sciences (1 paper)The International Journal of Biochemistry & Cell Biology (1 paper)
- Partner nations
- ChinaUnited StatesEgypt
In The Last Decade
Junjun Liu
15 papers receiving 547 citations
Peers
Comparison fields: 5 of 74
- Cell Biology 180
- Cancer Research 127
- Molecular Biology 391
- Genetics 107
- Oncology 81
Countries citing papers authored by Junjun Liu
This map shows the geographic impact of Junjun Liu'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 Junjun Liu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junjun Liu more than expected).
Fields of papers citing papers by Junjun Liu
This network shows the impact of papers produced by Junjun Liu. 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 Junjun Liu. The network helps show where Junjun Liu may publish in the future.
Co-authors
The 25 scholars most cited alongside Junjun Liu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 125 | |
| 2 | 2009 | 99 | |
| 3 | 2020 | 56 | |
| 4 | 2020 | 45 | |
| 5 | 2015 | 44 | |
| 6 | 2021 | 31 | |
| 7 | 2015 | 28 | |
| 8 | 2017 | 28 | |
| 9 | 2019 | 26 | |
| 10 | 2015 | 25 | |
| 11 | 2015 | 15 | |
| 12 | 2017 | 15 | |
| 13 | Predictors of recurrence in breast cancer subtypes with negative lymph node in a Chinese population. | 2014 | 8 |
| 14 | TrkC expression predicts favorable clinical outcome in invasive ductal carcinoma of breast independent of NT-3 expression. | 2014 | 5 |
| 15 | 2023 | 1 |
About Junjun Liu
Junjun Liu is a scholar working on Molecular Biology, Cancer Research, Oncology, Cell Biology and Organic Chemistry, having authored 15 papers that have together received 551 indexed citations. Recurring topics across this work include Microtubule and mitosis dynamics (5 papers), Cancer-related Molecular Pathways (5 papers), Ubiquitin and proteasome pathways (4 papers), Circular RNAs in diseases (3 papers), Breast Cancer Treatment Studies (3 papers), MicroRNA in disease regulation (2 papers), Cancer-related molecular mechanisms research (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Cell Biology (180 citations), Cancer Research (127 citations), Molecular Biology (391 citations), Genetics (107 citations) and Oncology (81 citations). Junjun Liu has collaborated with scholars based in China, United States and Egypt. Frequent co-authors include Chuanmao Zhang, Qing Jiang, Xiaoyan Zhang, Gang Wang, Boyan Zhang, Qiang Chen, Qiang Chen, Junjie Hou, Fuquan Yang and Zuoren Yu. Their work appears in journals such as Journal of Cell Science, Frontiers in Genetics, The Journal of Cell Biology, Cellular and Molecular Life Sciences and The International Journal of Biochemistry & Cell Biology.
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.