Binbin Ji
Impact in
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- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- MicroRNA in disease regulation
Papers in
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- Circular RNAs in diseases 3
- RNA modifications and cancer 2
- Bioinformatics and Genomic Networks 2
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- Cancer-related molecular mechanisms research 4
- MicroRNA in disease regulation 3
- Co-authors
- Jialiang Yang (6 shared papers)Geng Tian (4 shared papers)Yuebin Liang (3 shared papers)Zixuan Yang (1 shared paper)Peng Yuan (1 shared paper)Lei Guo (1 shared paper)Songlin Gao (1 shared paper)Yuan Xu (1 shared paper)
- Journals
- Frontiers in Genetics (5 papers)Computational and Structural Biotechnology Journal (1 paper)Neurological Research (1 paper)Frontiers in Oncology (1 paper)Advanced Science (1 paper)
- Partner nations
- ChinaJapanUnited States
In The Last Decade
Binbin Ji
23 papers receiving 430 citations
Binbin Ji's Hit Papers
Peers
Comparison fields: 5 of 87
- Cancer Research 107
- Health Informatics 7
- Radiology, Nuclear Medicine and Imaging 85
- Neurology 24
- Oncology 69
Countries citing papers authored by Binbin Ji
This map shows the geographic impact of Binbin Ji'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 Binbin Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Binbin Ji more than expected).
Fields of papers citing papers by Binbin Ji
This network shows the impact of papers produced by Binbin Ji. 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 Binbin Ji. The network helps show where Binbin Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Binbin Ji, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Prediction of HER2-positive breast cancer recurrence and metastasis risk from histopathological images and clinical information via multimodal deep learning Hit paper breakdown → | 2021 | 166 |
| 2 | 2022 | 43 | |
| 3 | 2018 | 42 | |
| 4 | 2021 | 27 | |
| 5 | 2018 | 24 | |
| 6 | 2021 | 18 | |
| 7 | 2016 | 15 | |
| 8 | 2019 | 13 | |
| 9 | 2020 | 12 | |
| 10 | 2022 | 11 | |
| 11 | 2019 | 11 | |
| 12 | 2011 | 10 | |
| 13 | 2024 | 9 | |
| 14 | 2024 | 7 | |
| 15 | 2021 | 6 | |
| 16 | 2015 | 6 | |
| 17 | 2024 | 4 | |
| 18 | 2021 | 4 | |
| 19 | 2022 | 3 | |
| 20 | 2022 | 2 |
About Binbin Ji
Binbin Ji is a scholar working on Molecular Biology, Cancer Research, Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computational Theory and Mathematics, having authored 24 papers that have together received 437 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (4 papers), Circular RNAs in diseases (3 papers), MicroRNA in disease regulation (3 papers), RNA modifications and cancer (2 papers), Computational Drug Discovery Methods (2 papers), Immune cells in cancer (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Bioinformatics and Genomic Networks (2 papers). The work is most often cited by research in Cancer Research (107 citations), Health Informatics (7 citations), Radiology, Nuclear Medicine and Imaging (85 citations), Neurology (24 citations) and Oncology (69 citations). Binbin Ji has collaborated with scholars based in China, Japan and United States. Frequent co-authors include Jialiang Yang, Geng Tian, Yuebin Liang, Zixuan Yang, Peng Yuan, Lei Guo, Songlin Gao, Yuan Xu, Yuhua Yao and Bo Liao. Their work appears in journals such as Frontiers in Genetics, Computational and Structural Biotechnology Journal, Neurological Research, Frontiers in Oncology and Advanced Science.
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.