Lan Lin
- Cancer Research top 2%
- Cancer-related molecular mechanisms research 9
- Molecular Biology top 5%
- RNA Research and Splicing 17
- RNA modifications and cancer 16
- RNA and protein synthesis mechanisms 11
- RNA regulation and disease 3
- Genetics top 5%
- Coagulation, Bradykinin, Polyphosphates, and Angioedema 4
- Pathology and Forensic Medicine top 10%
- Autoimmune Bullous Skin Diseases 5
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- Urticaria and Related Conditions 5
- Co-authors
- Yi XingShihao ShenJuw Won ParkZhixiang LuMichael D. HenryYing WuQing ZhouPeng Jiang
- Journals
- Nature Communications (4 papers)Genome biology (4 papers)Human Molecular Genetics (3 papers)
- Partner nations
- United StatesChinaRussia
In The Last Decade
Lan Lin
38 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 132
- Cancer Research 668
- Molecular Biology 2.4k
- Genetics 184
- Pathology and Forensic Medicine 180
- Immunology 207
Countries citing papers authored by Lan Lin
This map shows the geographic impact of Lan Lin'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 Lan Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lan Lin more than expected).
Fields of papers citing papers by Lan Lin
This network shows the impact of papers produced by Lan Lin. 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 Lan Lin. The network helps show where Lan Lin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Lan Lin, 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 | 2 | |
| 2 | 2024 | 12 | |
| 3 | 2023 | 15 | |
| 4 | 2021 | 22 | |
| 5 | 2021 | 42 | |
| 6 | 2018 | 19 | |
| 7 | 2018 | 214 | |
| 8 | 2017 | 70 | |
| 9 | 2017 | 33 | |
| 10 | 2016 | 83 | |
| 11 | 2016 | 36 | |
| 12 | 2016 | 33 | |
| 13 | rMATS: Robust and flexible detection of differential alternative splicing from replicate RNA-Seq databreakdown → | 2014 | 1635 |
| 14 | 2014 | 55 | |
| 15 | 2011 | 51 | |
| 16 | 2011 | 56 | |
| 17 | 2010 | 40 | |
| 18 | 2010 | 113 | |
| 19 | 2009 | 33 | |
| 20 | 2007 | 41 |
About Lan Lin
Lan Lin is a scholar working on Cancer Research, Molecular Biology, Genetics, Rheumatology and Pathology and Forensic Medicine, having authored 39 papers that have together received 3.2k indexed citations. Recurring topics across this work include RNA Research and Splicing (17 papers), RNA modifications and cancer (16 papers), RNA and protein synthesis mechanisms (11 papers), Cancer-related molecular mechanisms research (9 papers), Autoimmune Bullous Skin Diseases (5 papers), Urticaria and Related Conditions (5 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (4 papers) and RNA regulation and disease (3 papers). The work is most often cited by research in Cancer Research (668 citations), Molecular Biology (2.4k citations), Genetics (184 citations), Pathology and Forensic Medicine (180 citations) and Immunology (207 citations). Lan Lin has collaborated with scholars based in United States, China and Russia. Frequent co-authors include Yi Xing, Shihao Shen, Juw Won Park, Zhixiang Lu, Michael D. Henry, Ying Wu, Qing Zhou, Peng Jiang, Eddie Park and Zijun Zhang. Their work appears in journals such as Nature Communications, Genome biology, Human Molecular Genetics, Nucleic Acids Research and Proceedings of the National Academy of Sciences.
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.