Ching‐Jung Lin
Impact in
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- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
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- RNA modifications and cancer
- RNA Research and Splicing
- Cancer-related gene regulation
- RNA and protein synthesis mechanisms
Papers in
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- RNA modifications and cancer 5
- RNA Research and Splicing 5
- RNA and protein synthesis mechanisms 4
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- Chromosomal and Genetic Variations 4
- Nematode management and characterization studies 2
- Co-authors
- Eric C. Lai (8 shared papers)Jeffrey Vedanayagam (5 shared papers)Jiayu Wen (4 shared papers)Fuqu Hu (3 shared papers)Lijuan Kan (2 shared papers)Shu Kondo (2 shared papers)Peter C. Dedon (2 shared papers)Deepak P. Patil (1 shared paper)
- Journals
- RNA (2 papers)Nature Ecology & Evolution (1 paper)PLoS Biology (1 paper)PLoS Genetics (1 paper)Plant Cell & Environment (1 paper)
- Partner nations
- United StatesAustraliaJapan
In The Last Decade
Ching‐Jung Lin
11 papers receiving 340 citations
Peers
Comparison fields: 5 of 48
- Cancer Research 87
- Molecular Biology 278
- Plant Science 84
- Genetics 49
- Aging 3
Countries citing papers authored by Ching‐Jung Lin
This map shows the geographic impact of Ching‐Jung 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 Ching‐Jung Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ching‐Jung Lin more than expected).
Fields of papers citing papers by Ching‐Jung Lin
This network shows the impact of papers produced by Ching‐Jung 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 Ching‐Jung Lin. The network helps show where Ching‐Jung Lin may publish in the future.
Co-authors
The 25 scholars most cited alongside Ching‐Jung 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 | 2017 | 146 | |
| 2 | 2015 | 53 | |
| 3 | 2018 | 51 | |
| 4 | 2021 | 27 | |
| 5 | 2015 | 19 | |
| 6 | 2023 | 11 | |
| 7 | 2016 | 10 | |
| 8 | 2024 | 6 | |
| 9 | 2023 | 6 | |
| 10 | 2024 | 6 | |
| 11 | 2014 | 6 |
About Ching‐Jung Lin
Ching‐Jung Lin is a scholar working on Molecular Biology, Plant Science, Genetics, Ecology and Immunology, having authored 11 papers that have together received 341 indexed citations. Recurring topics across this work include RNA modifications and cancer (5 papers), RNA Research and Splicing (5 papers), RNA and protein synthesis mechanisms (4 papers), Chromosomal and Genetic Variations (4 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Nematode management and characterization studies (2 papers), Invertebrate Immune Response Mechanisms (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Cancer Research (87 citations), Molecular Biology (278 citations), Plant Science (84 citations), Genetics (49 citations) and Aging (3 citations). Ching‐Jung Lin has collaborated with scholars based in United States, Australia and Japan. Frequent co-authors include Eric C. Lai, Jeffrey Vedanayagam, Jiayu Wen, Fuqu Hu, Lijuan Kan, Shu Kondo, Peter C. Dedon, Deepak P. Patil, Wu‐Min Deng and Yi‐Chun Huang. Their work appears in journals such as RNA, Nature Ecology & Evolution, PLoS Biology, PLoS Genetics and Plant Cell & Environment.
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.