Junjun Qiu
Impact in
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Obstetrics and Gynecology top 2%
Papers in ⓘ
-
- Cancer-related molecular mechanisms research 27
-
- RNA Research and Splicing 13
- Circular RNAs in diseases 12
- RNA modifications and cancer 9
- Co-authors
- Keqin Hua (52 shared papers)Jingxin Ding (9 shared papers)Yingying Lin (7 shared papers)Xiaoyan Tang (20 shared papers)Hongyan Jin (5 shared papers)Xiaojing Lin (3 shared papers)Ying Zhang (3 shared papers)Lechi Ye (4 shared papers)
- Journals
- Archives of Gynecology and Obstetrics (4 papers)OncoTargets and Therapy (3 papers)Journal of Minimally Invasive Gynecology (3 papers)Tumor Biology (3 papers)Experimental Cell Research (3 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Junjun Qiu
73 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 96
- Cancer Research 1.2k
- Obstetrics and Gynecology 250
- Reproductive Medicine 268
- Molecular Biology 1.3k
- Immunology 335
Countries citing papers authored by Junjun Qiu
This map shows the geographic impact of Junjun Qiu'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 Qiu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junjun Qiu more than expected).
Fields of papers citing papers by Junjun Qiu
This network shows the impact of papers produced by Junjun Qiu. 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 Qiu. The network helps show where Junjun Qiu may publish in the future.
Co-authors
The 25 scholars most cited alongside Junjun Qiu, 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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 193 | |
| 2 | 2018 | 159 | |
| 3 | 2015 | 112 | |
| 4 | 2019 | 108 | |
| 5 | 2015 | 89 | |
| 6 | 2016 | 75 | |
| 7 | 2013 | 64 | |
| 8 | 2019 | 54 | |
| 9 | 2023 | 52 | |
| 10 | 2019 | 51 | |
| 11 | 2018 | 47 | |
| 12 | 2006 | 47 | |
| 13 | 2022 | 44 | |
| 14 | 2021 | 42 | |
| 15 | 2023 | 39 | |
| 16 | 2015 | 35 | |
| 17 | 2021 | 33 | |
| 18 | 2023 | 32 | |
| 19 | 2015 | 32 | |
| 20 | 2020 | 32 |
About Junjun Qiu
Junjun Qiu is a scholar working on Cancer Research, Molecular Biology, Obstetrics and Gynecology, Reproductive Medicine and Immunology, having authored 87 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (27 papers), Endometrial and Cervical Cancer Treatments (20 papers), RNA Research and Splicing (13 papers), Circular RNAs in diseases (12 papers), Endometriosis Research and Treatment (12 papers), Ovarian cancer diagnosis and treatment (11 papers), RNA modifications and cancer (9 papers) and Reproductive System and Pregnancy (7 papers). The work is most often cited by research in Cancer Research (1.2k citations), Obstetrics and Gynecology (250 citations), Reproductive Medicine (268 citations), Molecular Biology (1.3k citations) and Immunology (335 citations). Junjun Qiu has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Keqin Hua, Jingxin Ding, Yingying Lin, Xiaoyan Tang, Hongyan Jin, Xiaojing Lin, Ying Zhang, Lechi Ye, Weiwei Feng and Xinyu Qu. Their work appears in journals such as Archives of Gynecology and Obstetrics, OncoTargets and Therapy, Journal of Minimally Invasive Gynecology, Tumor Biology and Experimental Cell Research.
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.