Robert W. Cho
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Cancer Genomics and Diagnostics
- Oncology top 0.5%
- Cancer Cells and Metastasis
Papers in
- Oncology 8
- Cancer Cells and Metastasis 8
- Cancer-related Molecular Pathways 2
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- MicroRNA in disease regulation 3
- Co-authors
- Michael F. Clarke (6 shared papers)Piero Dalerba (5 shared papers)Xinhao Wang (2 shared papers)Austin Gurney (2 shared papers)Maximilian Diehn (5 shared papers)Andrew Shelton (1 shared paper)Diane M. Simeone (1 shared paper)In-Kyung Park (1 shared paper)
- Journals
- Stem Cells (1 paper)Current Opinion in Genetics & Development (1 paper)Cell (1 paper)Seminars in Radiation Oncology (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesItaly
In The Last Decade
Robert W. Cho
9 papers receiving 4.2k citations
Robert W. Cho's Hit Papers
Peers
Comparison fields: 5 of 101
- Cancer Research 1.6k
- Oncology 2.9k
- Biotechnology 335
- Molecular Biology 2.5k
- Cell Biology 380
Countries citing papers authored by Robert W. Cho
This map shows the geographic impact of Robert W. Cho'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 Robert W. Cho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert W. Cho more than expected).
Fields of papers citing papers by Robert W. Cho
This network shows the impact of papers produced by Robert W. Cho. 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 Robert W. Cho. The network helps show where Robert W. Cho may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert W. Cho, 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 | Phenotypic characterization of human colorectal cancer stem cells Hit paper breakdown → | 2007 | 1723 |
| 2 | Cancer Stem Cells: Models and Concepts Hit paper breakdown → | 2006 | 987 |
| 3 | Downregulation of miRNA-200c Links Breast Cancer Stem Cells with Normal Stem Cells Hit paper breakdown → | 2009 | 971 |
| 4 | 2007 | 223 | |
| 5 | 2008 | 178 | |
| 6 | 2009 | 108 | |
| 7 | 2009 | 57 | |
| 8 | 2004 | 9 | |
| 9 | 2009 | 7 |
About Robert W. Cho
Robert W. Cho is a scholar working on Oncology, Cancer Research, Molecular Biology, Cell Biology and Neurology, having authored 9 papers that have together received 4.3k indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (8 papers), MicroRNA in disease regulation (3 papers), Epigenetics and DNA Methylation (2 papers), FOXO transcription factor regulation (2 papers), Cancer-related Molecular Pathways (2 papers), Meningioma and schwannoma management (1 paper), Ocular Oncology and Treatments (1 paper) and Microtubule and mitosis dynamics (1 paper). The work is most often cited by research in Cancer Research (1.6k citations), Oncology (2.9k citations), Biotechnology (335 citations), Molecular Biology (2.5k citations) and Cell Biology (380 citations). Robert W. Cho has collaborated with scholars based in United States and Italy. Frequent co-authors include Michael F. Clarke, Piero Dalerba, Xinhao Wang, Austin Gurney, Maximilian Diehn, Andrew Shelton, Diane M. Simeone, In-Kyung Park, Chiara Castelli and Giorgio Parmiani. Their work appears in journals such as Stem Cells, Current Opinion in Genetics & Development, Cell, Seminars in Radiation Oncology 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.