Xun Lan
Impact in
- Molecular Biology top 5%
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Genomics and Chromatin Dynamics
- Epigenetics and DNA Methylation
- RNA modifications and cancer
- RNA Research and Splicing
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
-
- Genomics and Chromatin Dynamics 14
- RNA and protein synthesis mechanisms 9
- RNA Research and Splicing 8
- Single-cell and spatial transcriptomics 6
- Epigenetics and DNA Methylation 6
- RNA modifications and cancer 6
- Genetics 10
- Co-authors
- Jonathan K. Pritchard (7 shared papers)Victor X. Jin (17 shared papers)Bin Liu (4 shared papers)Bin Liu (1 shared paper)Kuo‐Chen Chou (1 shared paper)Longyun Fang (1 shared paper)Xiaolong Wang (2 shared papers)Jinghao Xu (1 shared paper)
- Journals
- PLoS ONE (4 papers)Nature Communications (4 papers)Nuclear Engineering and Design (3 papers)Nucleic Acids Research (3 papers)Nature Cell Biology (2 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Xun Lan
70 papers receiving 2.7k citations
Xun Lan's Hit Papers
Peers
Comparison fields: 5 of 136
- Molecular Biology 1.9k
- Cancer Research 265
- Immunology 244
- Genetics 329
- Hematology 110
Countries citing papers authored by Xun Lan
This map shows the geographic impact of Xun 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 Xun Lan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xun Lan more than expected).
Fields of papers citing papers by Xun Lan
This network shows the impact of papers produced by Xun 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 Xun Lan. The network helps show where Xun Lan may publish in the future.
Co-authors
The 25 scholars most cited alongside Xun 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 71 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | iEnhancer-2L: a two-layer predictor for identifying enhancers and their strength by pseudo k-tuple nucleotide composition Hit paper breakdown → | 2015 | 320 |
| 2 | 2014 | 266 | |
| 3 | 2014 | 189 | |
| 4 | 2018 | 147 | |
| 5 | 2016 | 126 | |
| 6 | 2020 | 112 | |
| 7 | 2012 | 100 | |
| 8 | 2022 | 91 | |
| 9 | 2020 | 89 | |
| 10 | 2009 | 84 | |
| 11 | 2012 | 82 | |
| 12 | 2008 | 71 | |
| 13 | 2015 | 69 | |
| 14 | 2014 | 68 | |
| 15 | 2011 | 65 | |
| 16 | 2011 | 52 | |
| 17 | 2021 | 52 | |
| 18 | 2013 | 44 | |
| 19 | 2010 | 43 | |
| 20 | 2013 | 43 |
About Xun Lan
Xun Lan is a scholar working on Molecular Biology, Genetics, Immunology, Oncology and Aerospace Engineering, having authored 71 papers that have together received 2.8k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (14 papers), RNA and protein synthesis mechanisms (9 papers), RNA Research and Splicing (8 papers), Single-cell and spatial transcriptomics (6 papers), Epigenetics and DNA Methylation (6 papers), RNA modifications and cancer (6 papers), Nuclear Materials and Properties (5 papers) and Nuclear reactor physics and engineering (5 papers). The work is most often cited by research in Molecular Biology (1.9k citations), Cancer Research (265 citations), Immunology (244 citations), Genetics (329 citations) and Hematology (110 citations). Xun Lan has collaborated with scholars based in China, United States and India. Frequent co-authors include Jonathan K. Pritchard, Victor X. Jin, Bin Liu, Bin Liu, Kuo‐Chen Chou, Longyun Fang, Xiaolong Wang, Jinghao Xu, Ruifeng Xu and Jiyun Zhou. Their work appears in journals such as PLoS ONE, Nature Communications, Nuclear Engineering and Design, Nucleic Acids Research and Nature Cell Biology.
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.