Lei Chen
Impact in
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods
- Cancer Research top 1%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
Papers in
-
- Machine Learning in Bioinformatics 107
- Bioinformatics and Genomic Networks 60
- Gene expression and cancer classification 21
- RNA and protein synthesis mechanisms 20
- Protein Structure and Dynamics 19
- RNA modifications and cancer 15
-
- Computational Drug Discovery Methods 78
- Co-authors
- Yu‐Dong Cai (141 shared papers)Tao Huang (130 shared papers)Yuhang Zhang (69 shared papers)Kaiyan Feng (47 shared papers)Xiangyin Kong (33 shared papers)Shaopeng Wang (14 shared papers)Xiaoyong Pan (30 shared papers)Jing Lu (12 shared papers)
- Journals
- PLoS ONE (29 papers)BioMed Research International (17 papers)Combinatorial Chemistry & High Throughput Screening (12 papers)Frontiers in Genetics (8 papers)Life (7 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Lei Chen
321 papers receiving 8.2k citations
Peers
Comparison fields: 5 of 190
- Computational Theory and Mathematics 1.3k
- Cancer Research 1.0k
- Molecular Biology 5.0k
- Spectroscopy 333
- Pharmacology 163
Countries citing papers authored by Lei Chen
This map shows the geographic impact of Lei Chen'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 Lei Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lei Chen more than expected).
Fields of papers citing papers by Lei Chen
This network shows the impact of papers produced by Lei Chen. 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 Lei Chen. The network helps show where Lei Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Lei Chen, 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 340 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 432 | |
| 2 | 2011 | 352 | |
| 3 | 2017 | 320 | |
| 4 | 2012 | 183 | |
| 5 | 2013 | 155 | |
| 6 | 2018 | 140 | |
| 7 | 2017 | 135 | |
| 8 | 2011 | 101 | |
| 9 | 2015 | 99 | |
| 10 | 2012 | 97 | |
| 11 | 2017 | 97 | |
| 12 | 2019 | 96 | |
| 13 | 2019 | 89 | |
| 14 | 2012 | 87 | |
| 15 | 2011 | 79 | |
| 16 | 2015 | 79 | |
| 17 | 2015 | 78 | |
| 18 | 2018 | 75 | |
| 19 | 2016 | 75 | |
| 20 | 2016 | 74 |
About Lei Chen
Lei Chen is a scholar working on Molecular Biology, Computational Theory and Mathematics, Cancer Research, Artificial Intelligence and Infectious Diseases, having authored 340 papers that have together received 8.2k indexed citations. Recurring topics across this work include Machine Learning in Bioinformatics (107 papers), Computational Drug Discovery Methods (78 papers), Bioinformatics and Genomic Networks (60 papers), Gene expression and cancer classification (21 papers), Cancer-related molecular mechanisms research (20 papers), RNA and protein synthesis mechanisms (20 papers), Protein Structure and Dynamics (19 papers) and RNA modifications and cancer (15 papers). The work is most often cited by research in Computational Theory and Mathematics (1.3k citations), Cancer Research (1.0k citations), Molecular Biology (5.0k citations), Spectroscopy (333 citations) and Pharmacology (163 citations). Lei Chen has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Yu‐Dong Cai, Tao Huang, Yuhang Zhang, Kaiyan Feng, Xiangyin Kong, Shaopeng Wang, Xiaoyong Pan, Jing Lu, Chen Chu and Zihan Guo. Their work appears in journals such as PLoS ONE, BioMed Research International, Combinatorial Chemistry & High Throughput Screening, Frontiers in Genetics and Life.
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.