Junjun Qiu
Impact in
- Health Informatics top 1%
- Artificial Intelligence in Healthcare and Education
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
Papers in
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- Cancer-related molecular mechanisms research 21
-
- Endometrial and Cervical Cancer Treatments 12
- Co-authors
- Keqin Hua (56 shared papers)Yingying Lin (7 shared papers)Jingxin Ding (9 shared papers)Xiaoyan Tang (20 shared papers)Hongyan Jin (5 shared papers)Xiaojing Lin (3 shared papers)Chenyan Guo (12 shared papers)Ying Zhang (3 shared papers)
- Journals
- Archives of Gynecology and Obstetrics (4 papers)OncoTargets and Therapy (3 papers)Tumor Biology (3 papers)Journal of Minimally Invasive Gynecology (3 papers)Experimental Cell Research (3 papers)
- Partner nations
- China
In The Last Decade
Junjun Qiu
74 papers receiving 3.2k citations
Junjun Qiu's Hit Papers
Peers
Comparison fields: 5 of 185
- Health Informatics 163
- Cancer Research 895
- Reproductive Medicine 276
- Obstetrics and Gynecology 106
- Oncology 211
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 80 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Artificial intelligence: A powerful paradigm for scientific research Hit paper breakdown → | 2021 | 1184 |
| 2 | 2014 | 200 | |
| 3 | 2018 | 170 | |
| 4 | 2015 | 114 | |
| 5 | 2019 | 113 | |
| 6 | 2015 | 90 | |
| 7 | 2016 | 77 | |
| 8 | 2023 | 73 | |
| 9 | 2013 | 64 | |
| 10 | 2019 | 59 | |
| 11 | 2022 | 55 | |
| 12 | 2019 | 53 | |
| 13 | 2006 | 50 | |
| 14 | 2023 | 50 | |
| 15 | 2023 | 50 | |
| 16 | 2018 | 48 | |
| 17 | 2021 | 45 | |
| 18 | 2021 | 43 | |
| 19 | 2020 | 40 | |
| 20 | 2020 | 38 |
About Junjun Qiu
Junjun Qiu is a scholar working on Cancer Research, Obstetrics and Gynecology, Reproductive Medicine, Oncology and Molecular Biology, having authored 80 papers that have together received 3.3k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (21 papers), Endometrial and Cervical Cancer Treatments (12 papers), Endometriosis Research and Treatment (11 papers), Cancer Immunotherapy and Biomarkers (6 papers), Extracellular vesicles in disease (6 papers), Cervical Cancer and HPV Research (4 papers), Ovarian cancer diagnosis and treatment (4 papers) and Immune cells in cancer (3 papers). The work is most often cited by research in Health Informatics (163 citations), Cancer Research (895 citations), Reproductive Medicine (276 citations), Obstetrics and Gynecology (106 citations) and Oncology (211 citations). Junjun Qiu has collaborated with scholars based in China. Frequent co-authors include Keqin Hua, Yingying Lin, Jingxin Ding, Xiaoyan Tang, Hongyan Jin, Xiaojing Lin, Chenyan Guo, Ying Zhang, Xinyu Qu and Lechi Ye. Their work appears in journals such as Archives of Gynecology and Obstetrics, OncoTargets and Therapy, Tumor Biology, Journal of Minimally Invasive Gynecology 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.