Ni-Ting Chiou
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- RNA modifications and cancer
- Extracellular vesicles in disease
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Circular RNAs in diseases
- RNA Interference and Gene Delivery
Papers in
-
- RNA Research and Splicing 4
- RNA and protein synthesis mechanisms 3
- RNA modifications and cancer 3
- Extracellular vesicles in disease 2
- Genetics 2
- Bacterial Genetics and Biotechnology 2
- Co-authors
- K. Mark Ansel (3 shared papers)Robin Kageyama (2 shared papers)Kristen W. Lynch (2 shared papers)Sue Lin‐Chao (2 shared papers)Ganesh Shankarling (1 shared paper)Gadi Schuster (1 shared paper)Roger P. Alexander (1 shared paper)Antonia E. Gallman (1 shared paper)
- Journals
- Molecular Cell (1 paper)Journal of Biomedical Science (1 paper)Cell Reports (1 paper)Journal of Biological Chemistry (1 paper)Immunity (1 paper)
- Partner nations
- United StatesTaiwanIsrael
In The Last Decade
Ni-Ting Chiou
7 papers receiving 457 citations
Peers
Comparison fields: 5 of 61
- Cancer Research 179
- Molecular Biology 380
- Immunology 82
- Immunology and Allergy 10
- Genetics 36
Countries citing papers authored by Ni-Ting Chiou
This map shows the geographic impact of Ni-Ting Chiou'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 Ni-Ting Chiou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ni-Ting Chiou more than expected).
Fields of papers citing papers by Ni-Ting Chiou
This network shows the impact of papers produced by Ni-Ting Chiou. 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 Ni-Ting Chiou. The network helps show where Ni-Ting Chiou may publish in the future.
Co-authors
The 18 scholars most cited alongside Ni-Ting Chiou, 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 | 2018 | 186 | |
| 2 | 2016 | 105 | |
| 3 | 2013 | 60 | |
| 4 | 2007 | 51 | |
| 5 | 2016 | 45 | |
| 6 | 2015 | 11 | |
| 7 | 2014 | 4 |
About Ni-Ting Chiou
Ni-Ting Chiou is a scholar working on Molecular Biology, Genetics, Computational Mechanics, Nutrition and Dietetics and Biophysics, having authored 7 papers that have together received 462 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), RNA and protein synthesis mechanisms (3 papers), RNA modifications and cancer (3 papers), Bacterial Genetics and Biotechnology (2 papers), Extracellular vesicles in disease (2 papers), Field-Flow Fractionation Techniques (1 paper), MicroRNA in disease regulation (1 paper) and Reproductive System and Pregnancy (1 paper). The work is most often cited by research in Cancer Research (179 citations), Molecular Biology (380 citations), Immunology (82 citations), Immunology and Allergy (10 citations) and Genetics (36 citations). Ni-Ting Chiou has collaborated with scholars based in United States, Taiwan and Israel. Frequent co-authors include K. Mark Ansel, Robin Kageyama, Kristen W. Lynch, Sue Lin‐Chao, Ganesh Shankarling, Gadi Schuster, Roger P. Alexander, Antonia E. Gallman, David J. Erle and David Steiner. Their work appears in journals such as Molecular Cell, Journal of Biomedical Science, Cell Reports, Journal of Biological Chemistry and Immunity.
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.