Chiao‐Feng Lin
Impact in
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- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- RNA modifications and cancer
- Genomics and Phylogenetic Studies
- Genomics and Chromatin Dynamics
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- Genomics and Rare Diseases
Papers in
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- RNA Research and Splicing 6
- RNA and protein synthesis mechanisms 4
- RNA modifications and cancer 3
- Genomics and Chromatin Dynamics 2
- Genetics 8
- Genomics and Rare Diseases 7
- Genomic variations and chromosomal abnormalities 3
- Co-authors
- Wojciech Makałowski (5 shared papers)Izabela Makałowska (2 shared papers)Stephen M. Mount (2 shared papers)Artur Jarmołowski (2 shared papers)Matthew S. Lebo (5 shared papers)Georges Lévesque (1 shared paper)Pieter J. de Jong (1 shared paper)Peter St George‐Hyslop (1 shared paper)
- Journals
- BMC Evolutionary Biology (2 papers)Journal of Molecular Diagnostics (2 papers)Bioinformatics (2 papers)Journal of Personalized Medicine (1 paper)The Plant Cell (1 paper)
- Partner nations
- United StatesGermanyPoland
In The Last Decade
Chiao‐Feng Lin
17 papers receiving 510 citations
Peers
Comparison fields: 5 of 71
- Molecular Biology 344
- Genetics 114
- Physiology 83
- Cancer Research 40
- Aging 3
Countries citing papers authored by Chiao‐Feng Lin
This map shows the geographic impact of Chiao‐Feng 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 Chiao‐Feng Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chiao‐Feng Lin more than expected).
Fields of papers citing papers by Chiao‐Feng Lin
This network shows the impact of papers produced by Chiao‐Feng 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 Chiao‐Feng Lin. The network helps show where Chiao‐Feng Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Chiao‐Feng 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 | 1997 | 112 | |
| 2 | 2005 | 80 | |
| 3 | 2019 | 50 | |
| 4 | 2010 | 48 | |
| 5 | 2005 | 42 | |
| 6 | 2014 | 40 | |
| 7 | 2004 | 37 | |
| 8 | 2006 | 27 | |
| 9 | 2007 | 27 | |
| 10 | 2013 | 22 | |
| 11 | 2016 | 12 | |
| 12 | 2022 | 8 | |
| 13 | 2012 | 6 | |
| 14 | 2020 | 6 | |
| 15 | 2014 | 6 | |
| 16 | 2013 | 1 | |
| 17 | 2018 | 1 |
About Chiao‐Feng Lin
Chiao‐Feng Lin is a scholar working on Molecular Biology, Genetics, Cancer Research, Pathology and Forensic Medicine and Pharmacology, having authored 17 papers that have together received 525 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (7 papers), RNA Research and Splicing (6 papers), RNA and protein synthesis mechanisms (4 papers), Cancer Genomics and Diagnostics (4 papers), RNA modifications and cancer (3 papers), Genomic variations and chromosomal abnormalities (3 papers), Genomics and Chromatin Dynamics (2 papers) and Alzheimer's disease research and treatments (1 paper). The work is most often cited by research in Molecular Biology (344 citations), Genetics (114 citations), Physiology (83 citations), Cancer Research (40 citations) and Aging (3 citations). Chiao‐Feng Lin has collaborated with scholars based in United States, Germany and Poland. Frequent co-authors include Wojciech Makałowski, Izabela Makałowska, Stephen M. Mount, Artur Jarmołowski, Matthew S. Lebo, Georges Lévesque, Pieter J. de Jong, Peter St George‐Hyslop, Robin Sherrington and Johanna M. Rommens. Their work appears in journals such as BMC Evolutionary Biology, Journal of Molecular Diagnostics, Bioinformatics, Journal of Personalized Medicine and The Plant Cell.
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.