Chune Cao
Impact in
- Cell Biology top 5%
- Endoplasmic Reticulum Stress and Disease
- Molecular Biology top 5%
- RNA and protein synthesis mechanisms
- RNA regulation and disease
- RNA Research and Splicing
- RNA modifications and cancer
Papers in
-
- RNA and protein synthesis mechanisms 11
- RNA regulation and disease 6
- RNA Research and Splicing 6
- RNA modifications and cancer 5
- Polyamine Metabolism and Applications 4
- Genetics 5
- Virus-based gene therapy research 3
- Co-authors
- Thomas Dever (16 shared papers)Joe Lutkenhaus (2 shared papers)Frank Sicheri (6 shared papers)Madhusudan Dey (4 shared papers)Amit Mukherjee (1 shared paper)Antonina Roll‐Mecak (2 shared papers)S.K. Burley (2 shared papers)Arvin C. Dar (3 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (5 papers)Cell (3 papers)Molecular Cell (2 papers)Journal of Biological Chemistry (2 papers)Molecular and Cellular Biology (2 papers)
- Partner nations
- United StatesCanadaHungary
In The Last Decade
Chune Cao
18 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 92
- Cell Biology 346
- Molecular Biology 1.3k
- Genetics 398
- Aging 18
- Endocrinology 49
Countries citing papers authored by Chune Cao
This map shows the geographic impact of Chune Cao'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 Chune Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chune Cao more than expected).
Fields of papers citing papers by Chune Cao
This network shows the impact of papers produced by Chune Cao. 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 Chune Cao. The network helps show where Chune Cao may publish in the future.
Co-authors
The 25 scholars most cited alongside Chune Cao, 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 | 2005 | 289 | |
| 2 | 2008 | 288 | |
| 3 | 1998 | 205 | |
| 4 | 2000 | 188 | |
| 5 | 1997 | 144 | |
| 6 | 2018 | 96 | |
| 7 | 2002 | 88 | |
| 8 | 2004 | 65 | |
| 9 | 2005 | 63 | |
| 10 | 2007 | 50 | |
| 11 | 2000 | 42 | |
| 12 | 2008 | 37 | |
| 13 | 2022 | 33 | |
| 14 | 2008 | 31 | |
| 15 | 2019 | 18 | |
| 16 | 2015 | 15 | |
| 17 | 2021 | 15 | |
| 18 | 2023 | 10 | |
| 19 | 2025 | 0 |
About Chune Cao
Chune Cao is a scholar working on Molecular Biology, Genetics, Ecology, Cell Biology and Infectious Diseases, having authored 19 papers that have together received 1.7k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (11 papers), RNA regulation and disease (6 papers), RNA Research and Splicing (6 papers), RNA modifications and cancer (5 papers), Polyamine Metabolism and Applications (4 papers), Bacteriophages and microbial interactions (3 papers), Virus-based gene therapy research (3 papers) and Endoplasmic Reticulum Stress and Disease (2 papers). The work is most often cited by research in Cell Biology (346 citations), Molecular Biology (1.3k citations), Genetics (398 citations), Aging (18 citations) and Endocrinology (49 citations). Chune Cao has collaborated with scholars based in United States, Canada and Hungary. Frequent co-authors include Thomas Dever, Joe Lutkenhaus, Frank Sicheri, Madhusudan Dey, Amit Mukherjee, Antonina Roll‐Mecak, S.K. Burley, Arvin C. Dar, Keiko Ozato and Stephen G. Addinall. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cell, Molecular Cell, Journal of Biological Chemistry and Molecular and Cellular Biology.
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.