Yoon S. Cho‐Chung
- Oncology top 1%
- Peptidase Inhibition and Analysis 13
- Cancer-related Molecular Pathways 12
- Physiology top 1%
- Adenosine and Purinergic Signaling 14
- Molecular Biology top 1%
- Protein Kinase Regulation and GTPase Signaling 23
- Biochemical and Molecular Research 16
- RNA Interference and Gene Delivery 13
- RNA and protein synthesis mechanisms 12
- Toxicology top 1%
- Cancer Research top 5%
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- Estrogen and related hormone effects 14
- Co-authors
- Timothy ClairMaria NesterovaYee Sook ChoGiampaolo TortoraConstantine A. StratakisLawrence S. KirschnerKevin G. BeckerJ. Aidan Carney
- Cited by
- OncologyPhysiologyMolecular Biology
- Journals
- Nature (1 paper)Science (4 papers)Proceedings of the National Academy of Sciences (10 papers)
- Partner nations
- United StatesSouth KoreaIndia
In The Last Decade
Yoon S. Cho‐Chung
156 papers receiving 6.1k citations
Hit Papers
Peers
Comparison fields: 5 of 141
- Oncology 1.9k
- Physiology 282
- Molecular Biology 4.1k
- Toxicology 164
- Cancer Research 620
Countries citing papers authored by Yoon S. Cho‐Chung
This map shows the geographic impact of Yoon S. Cho‐Chung'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 Yoon S. Cho‐Chung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yoon S. Cho‐Chung more than expected).
Fields of papers citing papers by Yoon S. Cho‐Chung
This network shows the impact of papers produced by Yoon S. Cho‐Chung. 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 Yoon S. Cho‐Chung. The network helps show where Yoon S. Cho‐Chung may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yoon S. Cho‐Chung, 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 | 2006 | 11 | |
| 2 | 2006 | 38 | |
| 3 | Therapeutic oligonucleotides : transcriptional and translational strategies for silencing gene expression | 2005 | 2 |
| 4 | 2005 | 25 | |
| 5 | 2004 | 78 | |
| 6 | 2004 | 24 | |
| 7 | Antisense protein kinase A RIalpha-induced tumor reversion: portrait of a microarray | 2003 | 4 |
| 8 | 2003 | 128 | |
| 9 | Biodistribution of [S-35] Labeled Antisense Oligodeoxynuclotides Increased Tumor Targeting With Microsphere Coinjection | 2002 | 1 |
| 10 | 2002 | 8 | |
| 11 | 2000 | 25 | |
| 12 | 1999 | 14 | |
| 13 | 1999 | 15 | |
| 14 | 1998 | 8 | |
| 15 | 1995 | 119 | |
| 16 | 1995 | 130 | |
| 17 | 1993 | 66 | |
| 18 | 1991 | 9 | |
| 19 | 1989 | 65 | |
| 20 | In vivo inhibition of tumor growth by cyclic adenosine 3',5'-monophosphate derivatives. | 1974 | 55 |
About Yoon S. Cho‐Chung
Yoon S. Cho‐Chung is a scholar working on Physiology, Molecular Biology and Toxicology, having authored 159 papers that have together received 6.4k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (23 papers), Biochemical and Molecular Research (16 papers), Estrogen and related hormone effects (14 papers), Adenosine and Purinergic Signaling (14 papers), RNA Interference and Gene Delivery (13 papers), Peptidase Inhibition and Analysis (13 papers), Cancer-related Molecular Pathways (12 papers) and RNA and protein synthesis mechanisms (12 papers). The work is most often cited by research in Oncology (1.9k citations), Physiology (282 citations) and Molecular Biology (4.1k citations). Yoon S. Cho‐Chung has collaborated with scholars based in United States, South Korea and India. Frequent co-authors include Timothy Clair, Maria Nesterova, Yee Sook Cho, Giampaolo Tortora, Constantine A. Stratakis, Lawrence S. Kirschner, Kevin G. Becker, J. Aidan Carney, Susan E. Taymans and Svetlana Pack. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.