Zejun Li
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
-
- Computational Drug Discovery Methods
Papers in
-
- Single-cell and spatial transcriptomics 7
- Machine Learning in Bioinformatics 7
- Bioinformatics and Genomic Networks 6
- RNA modifications and cancer 6
- Gene expression and cancer classification 5
-
- Cancer-related molecular mechanisms research 14
- MicroRNA in disease regulation 9
- Co-authors
- Lihong Peng (13 shared papers)Min Chen (12 shared papers)Bo Liao (4 shared papers)Jialiang Yang (4 shared papers)Lijun Cai (4 shared papers)Xing Chen (3 shared papers)Peng Wang (1 shared paper)Haihua Liu (1 shared paper)
- Journals
- Scientific Reports (4 papers)Frontiers in Microbiology (4 papers)Computers in Biology and Medicine (3 papers)RSC Advances (2 papers)Frontiers in Genetics (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Zejun Li
64 papers receiving 926 citations
Peers
Comparison fields: 5 of 134
- Cancer Research 281
- Computational Theory and Mathematics 114
- Molecular Biology 420
- Biophysics 22
- Ecological Modeling 15
Countries citing papers authored by Zejun Li
This map shows the geographic impact of Zejun Li'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 Zejun Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zejun Li more than expected).
Fields of papers citing papers by Zejun Li
This network shows the impact of papers produced by Zejun Li. 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 Zejun Li. The network helps show where Zejun Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Zejun Li, 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 69 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 56 | |
| 2 | 2017 | 56 | |
| 3 | 2018 | 50 | |
| 4 | 2018 | 39 | |
| 5 | 2023 | 39 | |
| 6 | 2021 | 38 | |
| 7 | 2012 | 37 | |
| 8 | 2023 | 35 | |
| 9 | 2022 | 29 | |
| 10 | 2018 | 29 | |
| 11 | 2012 | 29 | |
| 12 | 2019 | 27 | |
| 13 | 2023 | 27 | |
| 14 | 2022 | 26 | |
| 15 | 2022 | 25 | |
| 16 | 2016 | 23 | |
| 17 | 2012 | 22 | |
| 18 | 2012 | 20 | |
| 19 | 2018 | 18 | |
| 20 | 2020 | 18 |
About Zejun Li
Zejun Li is a scholar working on Molecular Biology, Cancer Research, Biomedical Engineering, Artificial Intelligence and Computational Theory and Mathematics, having authored 69 papers that have together received 942 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (14 papers), MicroRNA in disease regulation (9 papers), Single-cell and spatial transcriptomics (7 papers), Machine Learning in Bioinformatics (7 papers), Computational Drug Discovery Methods (7 papers), Bioinformatics and Genomic Networks (6 papers), RNA modifications and cancer (6 papers) and Gene expression and cancer classification (5 papers). The work is most often cited by research in Cancer Research (281 citations), Computational Theory and Mathematics (114 citations), Molecular Biology (420 citations), Biophysics (22 citations) and Ecological Modeling (15 citations). Zejun Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Lihong Peng, Min Chen, Bo Liao, Jialiang Yang, Lijun Cai, Xing Chen, Peng Wang, Haihua Liu, Geng Tian and Bo Liao. Their work appears in journals such as Scientific Reports, Frontiers in Microbiology, Computers in Biology and Medicine, RSC Advances and Frontiers in Genetics.
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.