Boya Ji
Impact in
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Computational Drug Discovery Methods
Papers in
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- Bioinformatics and Genomic Networks 7
- Machine Learning in Bioinformatics 7
- Circular RNAs in diseases 5
- Single-cell and spatial transcriptomics 4
- RNA modifications and cancer 4
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- MicroRNA in disease regulation 9
- Cancer-related molecular mechanisms research 7
- Co-authors
- Zhu‐Hong You (13 shared papers)Leon Wong (7 shared papers)Lei Wang (5 shared papers)Bo-Wei Zhao (4 shared papers)Shaoliang Peng (17 shared papers)Xiaorui Su (3 shared papers)Li Cheng (2 shared papers)Yuming Liu (1 shared paper)
- Journals
- Briefings in Bioinformatics (4 papers)Scientific Reports (2 papers)BMC Bioinformatics (2 papers)Molecular Therapy — Nucleic Acids (2 papers)Expert Systems with Applications (1 paper)
- Partner nations
- ChinaThailandSaudi Arabia
In The Last Decade
Boya Ji
31 papers receiving 436 citations
Peers
Comparison fields: 5 of 73
- Cancer Research 117
- Computational Theory and Mathematics 120
- Molecular Biology 270
- Health Informatics 4
- Radiological and Ultrasound Technology 11
Countries citing papers authored by Boya Ji
This map shows the geographic impact of Boya 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 Boya Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Boya Ji more than expected).
Fields of papers citing papers by Boya Ji
This network shows the impact of papers produced by Boya 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 Boya Ji. The network helps show where Boya Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Boya 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 34 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 79 | |
| 2 | 2020 | 53 | |
| 3 | 2022 | 34 | |
| 4 | 2021 | 33 | |
| 5 | 2022 | 30 | |
| 6 | 2021 | 29 | |
| 7 | 2020 | 27 | |
| 8 | 2020 | 23 | |
| 9 | 2021 | 19 | |
| 10 | 2023 | 14 | |
| 11 | 2022 | 13 | |
| 12 | 2021 | 11 | |
| 13 | 2024 | 10 | |
| 14 | 2021 | 10 | |
| 15 | 2024 | 9 | |
| 16 | 2024 | 8 | |
| 17 | 2020 | 6 | |
| 18 | 2020 | 6 | |
| 19 | 2024 | 4 | |
| 20 | 2020 | 4 |
About Boya Ji
Boya Ji is a scholar working on Molecular Biology, Cancer Research, Computational Theory and Mathematics, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 34 papers that have together received 442 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (9 papers), Computational Drug Discovery Methods (7 papers), Bioinformatics and Genomic Networks (7 papers), Machine Learning in Bioinformatics (7 papers), Cancer-related molecular mechanisms research (7 papers), Circular RNAs in diseases (5 papers), Single-cell and spatial transcriptomics (4 papers) and RNA modifications and cancer (4 papers). The work is most often cited by research in Cancer Research (117 citations), Computational Theory and Mathematics (120 citations), Molecular Biology (270 citations), Health Informatics (4 citations) and Radiological and Ultrasound Technology (11 citations). Boya Ji has collaborated with scholars based in China, Thailand and Saudi Arabia. Frequent co-authors include Zhu‐Hong You, Leon Wong, Lei Wang, Bo-Wei Zhao, Shaoliang Peng, Xiaorui Su, Li Cheng, Yuming Liu, Meijie Zhang and De-Shuang Huang. Their work appears in journals such as Briefings in Bioinformatics, Scientific Reports, BMC Bioinformatics, Molecular Therapy — Nucleic Acids and Expert Systems with Applications.
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.