Jing-Ping Hsin
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 10%
- RNA Research and Splicing
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- RNA and protein synthesis mechanisms
- Circular RNAs in diseases
Papers in
-
- RNA Research and Splicing 5
- RNA modifications and cancer 4
- RNA and protein synthesis mechanisms 3
- Genomics and Chromatin Dynamics 2
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- MicroRNA in disease regulation 2
- Co-authors
- James L. Manley (4 shared papers)Amit Sheth (1 shared paper)Yuheng Lu (2 shared papers)Alexander Y. Rudensky (2 shared papers)Gabriel B. Loeb (1 shared paper)Christina S. Leslie (1 shared paper)Kehui Xiang (1 shared paper)Ashutosh Chaudhry (1 shared paper)
- Journals
- iScience (1 paper)Nature Immunology (1 paper)Science (1 paper)Molecular and Cellular Biology (1 paper)Genes & Development (1 paper)
- Partner nations
- United StatesTaiwanGermany
In The Last Decade
Jing-Ping Hsin
8 papers receiving 971 citations
Jing-Ping Hsin's Hit Papers
Peers
Comparison fields: 5 of 74
- Cancer Research 189
- Molecular Biology 790
- Immunology 120
- Aging 7
- Oncology 60
Countries citing papers authored by Jing-Ping Hsin
This map shows the geographic impact of Jing-Ping Hsin'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 Jing-Ping Hsin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jing-Ping Hsin more than expected).
Fields of papers citing papers by Jing-Ping Hsin
This network shows the impact of papers produced by Jing-Ping Hsin. 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 Jing-Ping Hsin. The network helps show where Jing-Ping Hsin may publish in the future.
Co-authors
The 25 scholars most cited alongside Jing-Ping Hsin, 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 RNA polymerase II CTD coordinates transcription and RNA processing Hit paper breakdown → | 2012 | 503 |
| 2 | 2015 | 144 | |
| 3 | 2011 | 133 | |
| 4 | 2018 | 104 | |
| 5 | 2014 | 44 | |
| 6 | 2014 | 41 | |
| 7 | Evidence for the involvement of protein kinase C in the inhibition of prolactin gene expression by transforming growth factor-beta2. | 1998 | 6 |
| 8 | 2024 | 4 |
About Jing-Ping Hsin
Jing-Ping Hsin is a scholar working on Molecular Biology, Cancer Research, Oncology, Radiology, Nuclear Medicine and Imaging and Endocrinology, Diabetes and Metabolism, having authored 8 papers that have together received 979 indexed citations. Recurring topics across this work include RNA Research and Splicing (5 papers), RNA modifications and cancer (4 papers), RNA and protein synthesis mechanisms (3 papers), Genomics and Chromatin Dynamics (2 papers), MicroRNA in disease regulation (2 papers), interferon and immune responses (1 paper), Growth Hormone and Insulin-like Growth Factors (1 paper) and Cancer Immunotherapy and Biomarkers (1 paper). The work is most often cited by research in Cancer Research (189 citations), Molecular Biology (790 citations), Immunology (120 citations), Aging (7 citations) and Oncology (60 citations). Jing-Ping Hsin has collaborated with scholars based in United States, Taiwan and Germany. Frequent co-authors include James L. Manley, Amit Sheth, Yuheng Lu, Alexander Y. Rudensky, Gabriel B. Loeb, Christina S. Leslie, Kehui Xiang, Ashutosh Chaudhry, Carolyn L. Zawislak and Sunglim Cho. Their work appears in journals such as iScience, Nature Immunology, Science, Molecular and Cellular Biology and Genes & Development.
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.