Jing Ren
Impact in
- Obstetrics and Gynecology top 5%
- Endometrial and Cervical Cancer Treatments
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- MRI in cancer diagnosis
- Radiomics and Machine Learning in Medical Imaging
- Advanced Neuroimaging Techniques and Applications
Papers in
-
- Prostate Cancer Diagnosis and Treatment 11
- Prostate Cancer Treatment and Research 4
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- Radiomics and Machine Learning in Medical Imaging 6
- MRI in cancer diagnosis 5
- Co-authors
- Yi Huan (22 shared papers)Qun Zhong (2 shared papers)Ziqian Chen (2 shared papers)Liyuan Fu (1 shared paper)Yali Ge (4 shared papers)Hong Yin (7 shared papers)Ying Liu (5 shared papers)He Wang (4 shared papers)
- Journals
- Insights into Imaging (5 papers)European Radiology (4 papers)La radiologia medica (3 papers)Journal of Computer Assisted Tomography (3 papers)Molecular Imaging and Biology (2 papers)
- Partner nations
- ChinaUnited StatesGermany
In The Last Decade
Jing Ren
56 papers receiving 831 citations
Peers
Comparison fields: 5 of 78
- Obstetrics and Gynecology 118
- Radiology, Nuclear Medicine and Imaging 276
- Pulmonary and Respiratory Medicine 255
- Reproductive Medicine 41
- Periodontics 20
Countries citing papers authored by Jing Ren
This map shows the geographic impact of Jing Ren'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 Jing Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing Ren more than expected).
Fields of papers citing papers by Jing Ren
This network shows the impact of papers produced by Jing Ren. 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 Jing Ren. The network helps show where Jing Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing Ren, 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 117 | |
| 2 | 2007 | 67 | |
| 3 | 2009 | 54 | |
| 4 | 2008 | 53 | |
| 5 | 2016 | 33 | |
| 6 | 2020 | 30 | |
| 7 | 2020 | 29 | |
| 8 | 2023 | 22 | |
| 9 | 2018 | 21 | |
| 10 | 2009 | 20 | |
| 11 | 2016 | 18 | |
| 12 | 2012 | 18 | |
| 13 | 2013 | 17 | |
| 14 | Lymph node metastasis in patients with gastric cancer: a multi-modality, morphologic and functional imaging study. | 2016 | 16 |
| 15 | 2021 | 16 | |
| 16 | 2022 | 16 | |
| 17 | 2012 | 16 | |
| 18 | 2012 | 16 | |
| 19 | 2016 | 15 | |
| 20 | 2019 | 15 |
About Jing Ren
Jing Ren is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Obstetrics and Gynecology, Surgery and Oncology, having authored 59 papers that have together received 840 indexed citations. Recurring topics across this work include Prostate Cancer Diagnosis and Treatment (11 papers), Endometrial and Cervical Cancer Treatments (7 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), MRI in cancer diagnosis (5 papers), Prostate Cancer Treatment and Research (4 papers), Pancreatic and Hepatic Oncology Research (3 papers), Urologic and reproductive health conditions (2 papers) and T-cell and B-cell Immunology (2 papers). The work is most often cited by research in Obstetrics and Gynecology (118 citations), Radiology, Nuclear Medicine and Imaging (276 citations), Pulmonary and Respiratory Medicine (255 citations), Reproductive Medicine (41 citations) and Periodontics (20 citations). Jing Ren has collaborated with scholars based in China, United States and Germany. Frequent co-authors include Yi Huan, Qun Zhong, Ziqian Chen, Liyuan Fu, Yali Ge, Hong Yin, Ying Liu, He Wang, Yuan Li and Hongliang Zhao. Their work appears in journals such as Insights into Imaging, European Radiology, La radiologia medica, Journal of Computer Assisted Tomography and Molecular Imaging and 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.