Fan Lai
Impact in
- Cancer Research top 0.5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 2%
- RNA Research and Splicing
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- Circular RNAs in diseases
- RNA and protein synthesis mechanisms
Papers in
-
- Cancer-related molecular mechanisms research 6
- MicroRNA in disease regulation 4
- Aging 1
- Co-authors
- Ramin ShiekhattarMalte BeringerUlf Andersson ØromQihong HuangThomas DerrienCédric NotredameMatthias ZytnickiGiovanni Bussotti
- Journals
- Nature Communications (2 papers)Nature (2 papers)Genes & Development (2 papers)Cell Research (1 paper)Diabetes (1 paper)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Fan Lai
31 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 110
- Cancer Research 1.8k
- Molecular Biology 3.0k
- Endocrinology 104
- Cell Biology 299
- Aging 19
Countries citing papers authored by Fan Lai
This map shows the geographic impact of Fan Lai'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 Fan Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fan Lai more than expected).
Fields of papers citing papers by Fan Lai
This network shows the impact of papers produced by Fan Lai. 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 Fan Lai. The network helps show where Fan Lai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Fan Lai, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 6 | |
| 3 | 2024 | 10 | |
| 4 | 2023 | 13 | |
| 5 | 2023 | 5 | |
| 6 | 2020 | 74 | |
| 7 | 2019 | 34 | |
| 8 | 2018 | 2 | |
| 9 | 2016 | 151 | |
| 10 | 2016 | 28 | |
| 11 | 2016 | 9 | |
| 12 | 2015 | 33 | |
| 13 | 2015 | 229 | |
| 14 | 2014 | 38 | |
| 15 | 2014 | 107 | |
| 16 | Long Noncoding RNAs with Enhancer-like Function in Human Cells Hit paper breakdown → | 2010 | 1455 |
| 17 | 2008 | 49 | |
| 18 | 2007 | 64 | |
| 19 | 2006 | 165 | |
| 20 | 2003 | 29 |
About Fan Lai
Fan Lai is a scholar working on Cancer Research, Aging, Molecular Biology, Hematology and Developmental Neuroscience, having authored 33 papers that have together received 3.7k indexed citations. Recurring topics across this work include RNA Research and Splicing (7 papers), Cancer-related molecular mechanisms research (6 papers), RNA modifications and cancer (6 papers), Genomics and Chromatin Dynamics (5 papers), Epigenetics and DNA Methylation (5 papers), MicroRNA in disease regulation (4 papers), RNA and protein synthesis mechanisms (4 papers) and Acute Myeloid Leukemia Research (3 papers). The work is most often cited by research in Cancer Research (1.8k citations), Molecular Biology (3.0k citations), Endocrinology (104 citations), Cell Biology (299 citations) and Aging (19 citations). Fan Lai has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Ramin Shiekhattar, Malte Beringer, Ulf Andersson Ørom, Qihong Huang, Thomas Derrien, Cédric Notredame, Matthias Zytnicki, Giovanni Bussotti, Jian-Fu Chen and Dylan J. Taatjes. Their work appears in journals such as Nature Communications, Nature, Genes & Development, Cell Research and Diabetes.
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.