Junru Jin
Impact in
- Microbiology top 10%
-
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- vaccines and immunoinformatics approaches
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- Protein Structure and Dynamics
Papers in
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- Machine Learning in Bioinformatics 10
- RNA and protein synthesis mechanisms 7
- RNA modifications and cancer 6
- Protein Structure and Dynamics 4
- Epigenetics and DNA Methylation 3
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- Computational Drug Discovery Methods 6
- Co-authors
- Leyi Wei (22 shared papers)Ruheng Wang (5 shared papers)Ran Su (7 shared papers)Quan Zou (5 shared papers)Kenta Nakai (4 shared papers)Zhongshen Li (9 shared papers)Yi Jiang (4 shared papers)Yingying Yu (4 shared papers)
- Journals
- Bioinformatics (4 papers)Briefings in Bioinformatics (4 papers)Computers in Biology and Medicine (4 papers)Journal of Chemical Information and Modeling (2 papers)Nature Communications (2 papers)
- Partner nations
- ChinaSouth KoreaJapan
In The Last Decade
Junru Jin
23 papers receiving 739 citations
Junru Jin's Hit Papers
Peers
Comparison fields: 5 of 70
- Microbiology 58
- Molecular Biology 573
- Computational Theory and Mathematics 140
- Cancer Research 64
- Artificial Intelligence 68
Countries citing papers authored by Junru Jin
This map shows the geographic impact of Junru Jin'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 Junru Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junru Jin more than expected).
Fields of papers citing papers by Junru Jin
This network shows the impact of papers produced by Junru Jin. 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 Junru Jin. The network helps show where Junru Jin may publish in the future.
Co-authors
The 25 scholars most cited alongside Junru Jin, 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 | DeepBIO: an automated and interpretable deep-learning platform for high-throughput biological sequence prediction, functional annotation and visualization analysis Hit paper breakdown → | 2023 | 120 |
| 2 | 2022 | 105 | |
| 3 | 2023 | 85 | |
| 4 | 2022 | 69 | |
| 5 | 2023 | 61 | |
| 6 | 2021 | 47 | |
| 7 | 2022 | 40 | |
| 8 | 2021 | 38 | |
| 9 | 2024 | 36 | |
| 10 | 2023 | 20 | |
| 11 | 2022 | 18 | |
| 12 | 2023 | 18 | |
| 13 | 2023 | 17 | |
| 14 | 2023 | 17 | |
| 15 | 2023 | 11 | |
| 16 | 2025 | 9 | |
| 17 | 2024 | 9 | |
| 18 | 2023 | 8 | |
| 19 | 2024 | 4 | |
| 20 | 2023 | 3 |
About Junru Jin
Junru Jin is a scholar working on Molecular Biology, Computational Theory and Mathematics, Materials Chemistry, Cancer Research and Artificial Intelligence, having authored 24 papers that have together received 741 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (10 papers), RNA and protein synthesis mechanisms (7 papers), Computational Drug Discovery Methods (6 papers), Machine Learning in Materials Science (6 papers), RNA modifications and cancer (6 papers), Protein Structure and Dynamics (4 papers), Cancer-related molecular mechanisms research (4 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Microbiology (58 citations), Molecular Biology (573 citations), Computational Theory and Mathematics (140 citations), Cancer Research (64 citations) and Artificial Intelligence (68 citations). Junru Jin has collaborated with scholars based in China, South Korea and Japan. Frequent co-authors include Leyi Wei, Ruheng Wang, Ran Su, Quan Zou, Kenta Nakai, Zhongshen Li, Yi Jiang, Yingying Yu, Wenjia He and Chao Pang. Their work appears in journals such as Bioinformatics, Briefings in Bioinformatics, Computers in Biology and Medicine, Journal of Chemical Information and Modeling and Nature Communications.
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.