Wei Lan
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Pollution top 5%
- Heavy metals in environment
Papers in
-
- Cancer-related molecular mechanisms research 36
- MicroRNA in disease regulation 26
-
- Circular RNAs in diseases 22
- Bioinformatics and Genomic Networks 17
- Machine Learning in Bioinformatics 14
- RNA modifications and cancer 9
- Co-authors
- Jianxin Wang (28 shared papers)Yi Feng Pan (25 shared papers)Jin Liu (21 shared papers)Fang‐Xiang Wu (11 shared papers)Min Li (12 shared papers)Qingfeng Chen (28 shared papers)Yi‐Ping Phoebe Chen (16 shared papers)Wei Peng (18 shared papers)
- Journals
- IEEE Transactions on Computational Biology and Bioinformatics (14 papers)Briefings in Bioinformatics (8 papers)Microchemical Journal (4 papers)Complexity (3 papers)Methods (3 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Wei Lan
176 papers receiving 4.3k citations
Wei Lan's Hit Papers
Peers
Comparison fields: 5 of 159
- Cancer Research 1.1k
- Pollution 329
- Molecular Biology 1.8k
- Analytical Chemistry 242
- Computational Theory and Mathematics 349
Countries citing papers authored by Wei Lan
This map shows the geographic impact of Wei Lan'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 Wei Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wei Lan more than expected).
Fields of papers citing papers by Wei Lan
This network shows the impact of papers produced by Wei Lan. 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 Wei Lan. The network helps show where Wei Lan may publish in the future.
Co-authors
The 25 scholars most cited alongside Wei Lan, 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 190 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 197 | |
| 2 | 2016 | 172 | |
| 3 | 2020 | 158 | |
| 4 | 2016 | 122 | |
| 5 | 2010 | 112 | |
| 6 | 2017 | 108 | |
| 7 | 2016 | 103 | |
| 8 | 2020 | 103 | |
| 9 | 2021 | 91 | |
| 10 | 2021 | 83 | |
| 11 | 2020 | 75 | |
| 12 | 2017 | 72 | |
| 13 | 2015 | 70 | |
| 14 | 2024 | 70 | |
| 15 | 2014 | 68 | |
| 16 | 2023 | 68 | |
| 17 | 1994 | 68 | |
| 18 | 2014 | 65 | |
| 19 | 2020 | 64 | |
| 20 | 2016 | 62 |
About Wei Lan
Wei Lan is a scholar working on Cancer Research, Molecular Biology, Computational Theory and Mathematics, Pollution and Analytical Chemistry, having authored 190 papers that have together received 4.4k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (36 papers), MicroRNA in disease regulation (26 papers), Circular RNAs in diseases (22 papers), Bioinformatics and Genomic Networks (17 papers), Computational Drug Discovery Methods (15 papers), Machine Learning in Bioinformatics (14 papers), Insect-Plant Interactions and Control (9 papers) and RNA modifications and cancer (9 papers). The work is most often cited by research in Cancer Research (1.1k citations), Pollution (329 citations), Molecular Biology (1.8k citations), Analytical Chemistry (242 citations) and Computational Theory and Mathematics (349 citations). Wei Lan has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jianxin Wang, Yi Feng Pan, Jin Liu, Fang‐Xiang Wu, Min Li, Qingfeng Chen, Yi‐Ping Phoebe Chen, Wei Peng, Ming Keong Wong and Yoke Min Sin. Their work appears in journals such as IEEE Transactions on Computational Biology and Bioinformatics, Briefings in Bioinformatics, Microchemical Journal, Complexity and Methods.
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.