Bing Ren
Impact in
- Oncology top 5%
- Cancer-related Molecular Pathways
- Colorectal Cancer Screening and Detection
- Health Informatics top 5%
Papers in
- Co-authors
- Brian David Dynlacht (1 shared paper)Yasuhiko Takahashi (1 shared paper)Jolyon Terragni (1 shared paper)Thomas L. Volkert (1 shared paper)Richard A. Young (1 shared paper)Arief A. Suriawinata (7 shared papers)Xiaoying Liu (6 shared papers)Saeed Hassanpour (8 shared papers)
- Journals
- American Journal Of Pathology (4 papers)JAMA Network Open (2 papers)Journal of Pathology Informatics (2 papers)Scientific Reports (1 paper)The American Journal of Surgical Pathology (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Bing Ren
24 papers receiving 1.4k citations
Bing Ren's Hit Papers
Peers
Comparison fields: 5 of 88
- Oncology 709
- Health Informatics 25
- Cancer Research 201
- Molecular Biology 833
- Gastroenterology 50
Countries citing papers authored by Bing Ren
This map shows the geographic impact of Bing 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 Bing Ren with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bing Ren more than expected).
Fields of papers citing papers by Bing Ren
This network shows the impact of papers produced by Bing 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 Bing Ren. The network helps show where Bing Ren may publish in the future.
Co-authors
The 25 scholars most cited alongside Bing 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | E2F integrates cell cycle progression with DNA repair, replication, and G 2 /M checkpoints Hit paper breakdown → | 2002 | 931 |
| 2 | 2016 | 130 | |
| 3 | 2020 | 74 | |
| 4 | 2018 | 59 | |
| 5 | 2019 | 46 | |
| 6 | 2021 | 46 | |
| 7 | 2021 | 34 | |
| 8 | 2013 | 33 | |
| 9 | 2020 | 29 | |
| 10 | 2021 | 22 | |
| 11 | 2022 | 19 | |
| 12 | 2023 | 11 | |
| 13 | 2022 | 7 | |
| 14 | 2020 | 6 | |
| 15 | 2014 | 5 | |
| 16 | 2020 | 4 | |
| 17 | 2018 | 3 | |
| 18 | 2024 | 2 | |
| 19 | 2023 | 1 | |
| 20 | 2021 | 1 |
About Bing Ren
Bing Ren is a scholar working on Oncology, Surgery, Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Pulmonary and Respiratory Medicine, having authored 26 papers that have together received 1.5k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (7 papers), AI in cancer detection (6 papers), Colorectal Cancer Screening and Detection (5 papers), Pancreatic and Hepatic Oncology Research (4 papers), Renal cell carcinoma treatment (3 papers), Viral-associated cancers and disorders (2 papers), Gastrointestinal Tumor Research and Treatment (2 papers) and Gastrointestinal disorders and treatments (2 papers). The work is most often cited by research in Oncology (709 citations), Health Informatics (25 citations), Cancer Research (201 citations), Molecular Biology (833 citations) and Gastroenterology (50 citations). Bing Ren has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Brian David Dynlacht, Yasuhiko Takahashi, Jolyon Terragni, Thomas L. Volkert, Richard A. Young, Arief A. Suriawinata, Xiaoying Liu, Saeed Hassanpour, Aatur D. Singhi and Fyza Y. Shaikh. Their work appears in journals such as American Journal Of Pathology, JAMA Network Open, Journal of Pathology Informatics, Scientific Reports and The American Journal of Surgical Pathology.
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.