Sue Lin‐Chao
- Genetics top 0.5%
- Bacterial Genetics and Biotechnology 36
- Neurogenetic and Muscular Disorders Research 7
- Molecular Biology top 2%
- RNA and protein synthesis mechanisms 33
- DNA Repair Mechanisms 17
- RNA modifications and cancer 10
- CRISPR and Genetic Engineering 7
- Ecology top 2%
- Bacteriophages and microbial interactions 11
- Endocrinology top 5%
- Molecular Medicine top 5%
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- Phagocytosis and Immune Regulation 7
- Co-authors
- Stanley N. CohenVladimir R. KaberdinJonathan A. BernsteinKenneth J. McDowallArkady KhodurskyH. J. BremerChuck C.‐K. ChaoAndrás Miczák
- Cited by
- GeneticsMolecular BiologyEcology
- Journals
- Proceedings of the National Academy of Sciences (15 papers)Journal of Biological Chemistry (9 papers)Biochemical Journal (4 papers)
- Partner nations
- TaiwanUnited StatesSpain
In The Last Decade
Sue Lin‐Chao
86 papers receiving 4.5k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Genetics 2.4k
- Molecular Biology 3.9k
- Ecology 1.1k
- Endocrinology 149
- Molecular Medicine 82
Countries citing papers authored by Sue Lin‐Chao
This map shows the geographic impact of Sue Lin‐Chao'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 Sue Lin‐Chao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sue Lin‐Chao more than expected).
Fields of papers citing papers by Sue Lin‐Chao
This network shows the impact of papers produced by Sue Lin‐Chao. 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 Sue Lin‐Chao. The network helps show where Sue Lin‐Chao may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sue Lin‐Chao, 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 | 2024 | 2 | |
| 2 | 2020 | 4 | |
| 3 | 2019 | 3 | |
| 4 | 2012 | 11 | |
| 5 | 2011 | 41 | |
| 6 | 2010 | 44 | |
| 7 | 2008 | 30 | |
| 8 | 2008 | 81 | |
| 9 | 2008 | 4 | |
| 10 | Global analysis of mRNA decay and abundance in Escherichia coli at single-gene resolution using two-color fluorescent DNA microarraysbreakdown → | 2002 | 686 |
| 11 | 2002 | 27 | |
| 12 | 1999 | 21 | |
| 13 | 1995 | 128 | |
| 14 | 1992 | 183 | |
| 15 | 1992 | 58 | |
| 16 | 1991 | 16 | |
| 17 | 1991 | 5 | |
| 18 | 1990 | 31 | |
| 19 | 1990 | 1 | |
| 20 | 1986 | 20 |
About Sue Lin‐Chao
Sue Lin‐Chao is a scholar working on Genetics, Molecular Biology and Genetics, having authored 86 papers that have together received 4.6k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (36 papers), RNA and protein synthesis mechanisms (33 papers), DNA Repair Mechanisms (17 papers), Bacteriophages and microbial interactions (11 papers), RNA modifications and cancer (10 papers), CRISPR and Genetic Engineering (7 papers), Neurogenetic and Muscular Disorders Research (7 papers) and Phagocytosis and Immune Regulation (7 papers). The work is most often cited by research in Genetics (2.4k citations), Molecular Biology (3.9k citations) and Ecology (1.1k citations). Sue Lin‐Chao has collaborated with scholars based in Taiwan, United States and Spain. Frequent co-authors include Stanley N. Cohen, Vladimir R. Kaberdin, Jonathan A. Bernstein, Kenneth J. McDowall, Arkady Khodursky, H. J. Bremer, Chuck C.‐K. Chao, András Miczák, Gunn‐Guang Liou and Ten‐Tsao Wong. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Biochemical Journal, Journal of Biomedical Science and Biochemical and Biophysical Research Communications.
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.