Runyu Jing
Impact in
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- Antimicrobial Peptides and Activities
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- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- vaccines and immunoinformatics approaches
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- Bioinformatics and Genomic Networks
Papers in
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- Machine Learning in Bioinformatics 16
- RNA and protein synthesis mechanisms 9
- Bioinformatics and Genomic Networks 8
- Gene expression and cancer classification 6
- Genomics and Phylogenetic Studies 6
- RNA modifications and cancer 6
- Co-authors
- Jiesi Luo (15 shared papers)Yizhou Li (15 shared papers)Lezheng Yu (13 shared papers)Fengjuan Liu (6 shared papers)Menglong Li (26 shared papers)Xue Li (7 shared papers)Zhining Wen (6 shared papers)Fengjuan Liu (3 shared papers)
- Journals
- Chemometrics and Intelligent Laboratory Systems (5 papers)Frontiers in Microbiology (3 papers)Analytical Methods (2 papers)Scientific Reports (2 papers)Microchemical Journal (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Runyu Jing
43 papers receiving 329 citations
Peers
Comparison fields: 5 of 79
- Microbiology 25
- Molecular Biology 238
- Computational Theory and Mathematics 53
- Biophysics 11
- Cancer Research 23
Countries citing papers authored by Runyu Jing
This map shows the geographic impact of Runyu Jing'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 Runyu Jing with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Runyu Jing more than expected).
Fields of papers citing papers by Runyu Jing
This network shows the impact of papers produced by Runyu Jing. 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 Runyu Jing. The network helps show where Runyu Jing may publish in the future.
Co-authors
The 25 scholars most cited alongside Runyu Jing, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 71 | |
| 2 | 2022 | 35 | |
| 3 | 2020 | 24 | |
| 4 | 2014 | 18 | |
| 5 | 2021 | 13 | |
| 6 | 2021 | 12 | |
| 7 | 2015 | 12 | |
| 8 | 2022 | 11 | |
| 9 | 2022 | 11 | |
| 10 | 2020 | 9 | |
| 11 | 2014 | 9 | |
| 12 | 2016 | 8 | |
| 13 | 2015 | 8 | |
| 14 | 2011 | 7 | |
| 15 | 2023 | 6 | |
| 16 | 2025 | 6 | |
| 17 | 2023 | 5 | |
| 18 | 2017 | 5 | |
| 19 | 2024 | 5 | |
| 20 | 2023 | 5 |
About Runyu Jing
Runyu Jing is a scholar working on Molecular Biology, Artificial Intelligence, Computational Theory and Mathematics, Genetics and Cancer Research, having authored 45 papers that have together received 333 indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (16 papers), RNA and protein synthesis mechanisms (9 papers), Bioinformatics and Genomic Networks (8 papers), Gene expression and cancer classification (6 papers), Genomics and Phylogenetic Studies (6 papers), RNA modifications and cancer (6 papers), Computational Drug Discovery Methods (5 papers) and Cancer-related molecular mechanisms research (4 papers). The work is most often cited by research in Microbiology (25 citations), Molecular Biology (238 citations), Computational Theory and Mathematics (53 citations), Biophysics (11 citations) and Cancer Research (23 citations). Runyu Jing has collaborated with scholars based in China and United States. Frequent co-authors include Jiesi Luo, Yizhou Li, Lezheng Yu, Fengjuan Liu, Menglong Li, Xue Li, Zhining Wen, Fengjuan Liu, Yonglin Zhang and Junmei Xu. Their work appears in journals such as Chemometrics and Intelligent Laboratory Systems, Frontiers in Microbiology, Analytical Methods, Scientific Reports and Microchemical Journal.
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.