Yunan Luo
- Molecular Biology top 10%
- Computational Theory and Mathematics top 0.5%
- Materials Chemistry
- Ecology top 10%
- Artificial Intelligence top 10%
- Co-authors
- Jian PengJianyang ZengWenhua KuangYanqing ZhangLigong ChenXinbin ZhaoJinglin YangJingtian Zhou
- Topics
- Computational Drug Discovery Methods (11 papers)Protein Structure and Dynamics (8 papers)Machine Learning in Bioinformatics (6 papers)
- Journals
- ScienceNature CommunicationsSHILAP Revista de lepidopterología
- Partner nations
- United StatesChinaNetherlands
In The Last Decade
Yunan Luo
27 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Molecular Biology 1.1k
- Computational Theory and Mathematics 688
- Materials Chemistry 225
- Ecology 199
- Artificial Intelligence 143
Countries citing papers authored by Yunan Luo
This map shows the geographic impact of Yunan Luo'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 Yunan Luo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunan Luo more than expected).
Fields of papers citing papers by Yunan Luo
This network shows the impact of papers produced by Yunan Luo. 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 Yunan Luo. The network helps show where Yunan Luo may publish in the future.
Co-authorship network of co-authors of Yunan Luo
This figure shows the co-authorship network connecting the top 25 collaborators of Yunan Luo. A scholar is included among the top collaborators of Yunan Luo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yunan Luo. Yunan Luo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 27 | |
| 7 | 2 | |
| 8 | 0 | |
| 9 | 5 | |
| 10 | 11 | |
| 11 | 2 | |
| 12 | 25 | |
| 13 | Enzyme function prediction using contrastive learningbreakdown → | 236 |
| 14 | 3 | |
| 15 | 10 | |
| 16 | 81 | |
| 17 | 112 | |
| 18 | 21 | |
| 19 | 18 | |
| 20 | A Network Integration Approach for Drug-Target Interaction Prediction and Computational Drug Repositioning from Heterogeneous Information. | 1 |
About Yunan Luo
Yunan Luo is a scholar working on Computational Theory and Mathematics, Environmental Engineering and Biophysics, having authored 31 papers that have together received 1.7k indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (11 papers), Protein Structure and Dynamics (8 papers) and Machine Learning in Bioinformatics (6 papers). The work is most often cited by research in Computational Theory and Mathematics (688 citations), Molecular Biology (1.1k citations) and Ecology (199 citations). Yunan Luo has collaborated with scholars based in United States, China and Netherlands. Frequent co-authors include Jian Peng, Jianyang Zeng, Wenhua Kuang, Yanqing Zhang, Ligong Chen, Xinbin Zhao, Jinglin Yang, Jingtian Zhou, Tianhao Yu and Guangde Jiang. Their work appears in journals such as Science, Nature Communications and SHILAP Revista de lepidopterología.
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.