Nianwei Lin
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Genetics top 5%
- Neurogenetic and Muscular Disorders Research
Papers in
-
- RNA Research and Splicing 5
- Genomics and Chromatin Dynamics 3
- Epigenetics and DNA Methylation 2
- Protein Hydrolysis and Bioactive Peptides 2
- CRISPR and Genetic Engineering 2
-
- Lysosomal Storage Disorders Research 2
- Co-authors
- Tariq M. Rana (4 shared papers)Steven R. Head (3 shared papers)Zhonghan Li (3 shared papers)Kung‐Yen Chang (3 shared papers)Ti‐Chun Chao (1 shared paper)Jane C. Burns (1 shared paper)Veena S. Patil (1 shared paper)Chisato Shimizu (1 shared paper)
- Journals
- Molecular Cell (2 papers)PLoS ONE (2 papers)EMBO Reports (1 paper)Molecular and Cellular Biology (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Nianwei Lin
16 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Cancer Research 721
- Genetics 246
- Neurology 268
- Molecular Biology 1.2k
- Immunology 152
Countries citing papers authored by Nianwei Lin
This map shows the geographic impact of Nianwei 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 Nianwei Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nianwei Lin more than expected).
Fields of papers citing papers by Nianwei Lin
This network shows the impact of papers produced by Nianwei 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 Nianwei Lin. The network helps show where Nianwei Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Nianwei 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 | The long noncoding RNA THRIL regulates TNFα expression through its interaction with hnRNPL Hit paper breakdown → | 2013 | 505 |
| 2 | Premature polyadenylation-mediated loss of stathmin-2 is a hallmark of TDP-43-dependent neurodegeneration Hit paper breakdown → | 2019 | 339 |
| 3 | 2014 | 319 | |
| 4 | 2017 | 109 | |
| 5 | 2011 | 99 | |
| 6 | 2008 | 64 | |
| 7 | 2003 | 61 | |
| 8 | 2005 | 36 | |
| 9 | 2020 | 23 | |
| 10 | 2020 | 20 | |
| 11 | 2014 | 19 | |
| 12 | 2011 | 15 | |
| 13 | 2014 | 14 | |
| 14 | 2008 | 13 | |
| 15 | 2009 | 8 | |
| 16 | Cold-active Protease from antarctic bacterium marinobacter sp. Strain R2:fermentation condition and enzyme properties | 2004 | 2 |
About Nianwei Lin
Nianwei Lin is a scholar working on Molecular Biology, Physiology, Epidemiology, Plant Science and Cancer Research, having authored 16 papers that have together received 1.6k indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), Genomics and Chromatin Dynamics (3 papers), Cancer-related molecular mechanisms research (3 papers), Autophagy in Disease and Therapy (3 papers), Epigenetics and DNA Methylation (2 papers), Protein Hydrolysis and Bioactive Peptides (2 papers), CRISPR and Genetic Engineering (2 papers) and Lysosomal Storage Disorders Research (2 papers). The work is most often cited by research in Cancer Research (721 citations), Genetics (246 citations), Neurology (268 citations), Molecular Biology (1.2k citations) and Immunology (152 citations). Nianwei Lin has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Tariq M. Rana, Steven R. Head, Zhonghan Li, Kung‐Yen Chang, Ti‐Chun Chao, Jane C. Burns, Veena S. Patil, Chisato Shimizu, Jason Dang and Runying Zeng. Their work appears in journals such as Molecular Cell, PLoS ONE, EMBO Reports, Molecular and Cellular Biology 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.