Zhenran Jiang
Impact in
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- Computational Drug Discovery Methods
Papers in
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- Bioinformatics and Genomic Networks 14
- Machine Learning in Bioinformatics 6
- CRISPR and Genetic Engineering 4
- RNA and protein synthesis mechanisms 3
- Biomedical Text Mining and Ontologies 3
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- Computational Drug Discovery Methods 17
- Co-authors
- Yanhong Zhou (4 shared papers)Meiyue Song (2 shared papers)Yan Yan (3 shared papers)Jun Fan (2 shared papers)Jing Yang (1 shared paper)Liming Xiao (1 shared paper)Weiming Yu (2 shared papers)Mingyao Liu (3 shared papers)
- Journals
- Journal of Computational Biology (5 papers)Molecular BioSystems (2 papers)BMC Bioinformatics (2 papers)Critical Reviews in Biotechnology (1 paper)Briefings in Bioinformatics (1 paper)
- Partner nations
- ChinaUnited States
In The Last Decade
Zhenran Jiang
35 papers receiving 300 citations
Peers
Comparison fields: 5 of 73
- Business and International Management 12
- Computational Theory and Mathematics 89
- Aging 8
- Molecular Biology 206
- Pharmacology 24
Countries citing papers authored by Zhenran Jiang
This map shows the geographic impact of Zhenran Jiang'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 Zhenran Jiang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhenran Jiang more than expected).
Fields of papers citing papers by Zhenran Jiang
This network shows the impact of papers produced by Zhenran Jiang. 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 Zhenran Jiang. The network helps show where Zhenran Jiang may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhenran Jiang, 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 | 29 | |
| 2 | 2005 | 25 | |
| 3 | 2022 | 21 | |
| 4 | 2021 | 19 | |
| 5 | 2015 | 17 | |
| 6 | 2017 | 17 | |
| 7 | 2017 | 15 | |
| 8 | 2016 | 15 | |
| 9 | 2023 | 14 | |
| 10 | 2015 | 13 | |
| 11 | 2005 | 13 | |
| 12 | 2010 | 12 | |
| 13 | 2014 | 12 | |
| 14 | 2013 | 12 | |
| 15 | 2008 | 10 | |
| 16 | 2021 | 9 | |
| 17 | 2010 | 8 | |
| 18 | 2024 | 6 | |
| 19 | 2015 | 6 | |
| 20 | 2019 | 5 |
About Zhenran Jiang
Zhenran Jiang is a scholar working on Molecular Biology, Computational Theory and Mathematics, Pharmacology, Pharmacology and Organic Chemistry, having authored 35 papers that have together received 305 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (17 papers), Bioinformatics and Genomic Networks (14 papers), Machine Learning in Bioinformatics (6 papers), CRISPR and Genetic Engineering (4 papers), RNA and protein synthesis mechanisms (3 papers), Pharmacogenetics and Drug Metabolism (3 papers), Biomedical Text Mining and Ontologies (3 papers) and Microbial Natural Products and Biosynthesis (2 papers). The work is most often cited by research in Business and International Management (12 citations), Computational Theory and Mathematics (89 citations), Aging (8 citations), Molecular Biology (206 citations) and Pharmacology (24 citations). Zhenran Jiang has collaborated with scholars based in China and United States. Frequent co-authors include Yanhong Zhou, Meiyue Song, Yan Yan, Jun Fan, Jing Yang, Liming Xiao, Weiming Yu, Mingyao Liu, Xuejun Chen and Mingyuan Xin. Their work appears in journals such as Journal of Computational Biology, Molecular BioSystems, BMC Bioinformatics, Critical Reviews in Biotechnology and Briefings in Bioinformatics.
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.