Boya Ji
Impact in
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- Computational Drug Discovery Methods
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- MicroRNA in disease regulation 7
- Cancer-related molecular mechanisms research 4
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- Bioinformatics and Genomic Networks 13
- Single-cell and spatial transcriptomics 6
- Machine Learning in Bioinformatics 5
- Genomics and Phylogenetic Studies 3
- Gene Regulatory Network Analysis 2
- Co-authors
- Zhu‐Hong You (13 shared papers)Leon Wong (7 shared papers)Lei Wang (5 shared papers)Shaoliang Peng (18 shared papers)Bo-Wei Zhao (4 shared papers)Xiaorui Su (3 shared papers)Li Cheng (2 shared papers)Kai Zheng (3 shared papers)
- Journals
- Briefings in Bioinformatics (4 papers)Molecular Therapy — Nucleic Acids (2 papers)BMC Bioinformatics (2 papers)Big Data Mining and Analytics (2 papers)Scientific Reports (2 papers)
- Partner nations
- ChinaThailandSaudi Arabia
In The Last Decade
Boya Ji
31 papers receiving 445 citations
Peers
Comparison fields: 5 of 55
- Computational Theory and Mathematics 165
- Cancer Research 123
- Health Informatics 8
- Molecular Biology 206
- Applied Microbiology and Biotechnology 4
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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 84 | |
| 2 | 2020 | 59 | |
| 3 | 2022 | 36 | |
| 4 | 2022 | 33 | |
| 5 | 2021 | 32 | |
| 6 | 2020 | 31 | |
| 7 | 2020 | 25 | |
| 8 | 2021 | 19 | |
| 9 | 2023 | 17 | |
| 10 | 2022 | 13 | |
| 11 | 2024 | 12 | |
| 12 | 2021 | 11 | |
| 13 | 2024 | 10 | |
| 14 | 2021 | 9 | |
| 15 | 2024 | 9 | |
| 16 | 2020 | 7 | |
| 17 | 2024 | 7 | |
| 18 | 2020 | 6 | |
| 19 | 2024 | 6 | |
| 20 | 2020 | 4 |
About Boya Ji
Boya Ji is a scholar working on Cancer Research, Molecular Biology, Computational Theory and Mathematics, Artificial Intelligence and Radiology, Nuclear Medicine and Imaging, having authored 35 papers that have together received 454 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (13 papers), MicroRNA in disease regulation (7 papers), Computational Drug Discovery Methods (7 papers), Single-cell and spatial transcriptomics (6 papers), Machine Learning in Bioinformatics (5 papers), Cancer-related molecular mechanisms research (4 papers), Genomics and Phylogenetic Studies (3 papers) and Gene Regulatory Network Analysis (2 papers). The work is most often cited by research in Computational Theory and Mathematics (165 citations), Cancer Research (123 citations), Health Informatics (8 citations), Molecular Biology (206 citations) and Applied Microbiology and Biotechnology (4 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, Shaoliang Peng, Bo-Wei Zhao, Xiaorui Su, Li Cheng, Kai Zheng, De-Shuang Huang and Daniyal Alghazzawi. Their work appears in journals such as Briefings in Bioinformatics, Molecular Therapy — Nucleic Acids, BMC Bioinformatics, Big Data Mining and Analytics and Scientific Reports.
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.