Young-Sun Lin
Impact in
- Molecular Biology top 5%
- Genomics and Chromatin Dynamics
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- CRISPR and Genetic Engineering
- RNA modifications and cancer
- Fungal and yeast genetics research
- RNA Interference and Gene Delivery
- Genetics top 5%
- Virus-based gene therapy research
Papers in
-
- RNA and protein synthesis mechanisms 3
- Epigenetics and DNA Methylation 3
- Fungal and yeast genetics research 2
- RNA Research and Splicing 2
- RNA modifications and cancer 2
- Oncology 4
- Cancer-related Molecular Pathways 3
- Co-authors
- Michael R. Green (5 shared papers)Mark Ptashne (3 shared papers)Michael Carey (3 shared papers)Michael R. Green (1 shared paper)Masami Horikoshi (1 shared paper)Tsonwin Hai (1 shared paper)Robert G. Roeder (1 shared paper)Yuh‐Jin Liang (1 shared paper)
- Journals
- Journal of Biological Chemistry (4 papers)Cell (3 papers)Nature (2 papers)DNA and Cell Biology (1 paper)Molecular and Cellular Biology (1 paper)
- Partner nations
- United StatesTaiwan
In The Last Decade
Young-Sun Lin
12 papers receiving 1.9k citations
Young-Sun Lin's Hit Papers
Peers
Comparison fields: 5 of 73
- Molecular Biology 1.6k
- Genetics 497
- Virology 75
- Immunology 240
- Biotechnology 64
Countries citing papers authored by Young-Sun Lin
This map shows the geographic impact of Young-Sun 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 Young-Sun Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Young-Sun Lin more than expected).
Fields of papers citing papers by Young-Sun Lin
This network shows the impact of papers produced by Young-Sun 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 Young-Sun Lin. The network helps show where Young-Sun Lin may publish in the future.
Co-authors
The 21 scholars most cited alongside Young-Sun 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 | Mechanism of action of an acidic transcriptional activator in vitro Hit paper breakdown → | 1991 | 516 |
| 2 | 1988 | 427 | |
| 3 | 1990 | 351 | |
| 4 | 1988 | 265 | |
| 5 | 1990 | 235 | |
| 6 | 2004 | 37 | |
| 7 | 1988 | 35 | |
| 8 | 1995 | 26 | |
| 9 | 2000 | 9 | |
| 10 | 1995 | 6 | |
| 11 | 1999 | 2 | |
| 12 | 2008 | 1 |
About Young-Sun Lin
Young-Sun Lin is a scholar working on Molecular Biology, Oncology, Genetics, Biotechnology and Cellular and Molecular Neuroscience, having authored 12 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (3 papers), RNA and protein synthesis mechanisms (3 papers), Epigenetics and DNA Methylation (3 papers), Bacterial Genetics and Biotechnology (2 papers), Fungal and yeast genetics research (2 papers), Virus-based gene therapy research (2 papers), RNA Research and Splicing (2 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Genetics (497 citations), Virology (75 citations), Immunology (240 citations) and Biotechnology (64 citations). Young-Sun Lin has collaborated with scholars based in United States and Taiwan. Frequent co-authors include Michael R. Green, Mark Ptashne, Michael Carey, Michael R. Green, Masami Horikoshi, Tsonwin Hai, Robert G. Roeder, Yuh‐Jin Liang, Michael J. Comb and Yuh‐Shan Jou. Their work appears in journals such as Journal of Biological Chemistry, Cell, Nature, DNA and Cell Biology and Molecular and Cellular 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.