Kieu Do
Impact in
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
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- Cancer Cells and Metastasis
- Chemokine receptors and signaling
Papers in
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- Epigenetics and DNA Methylation 6
- RNA modifications and cancer 4
- Cancer-related gene regulation 3
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- MicroRNA in disease regulation 2
- Carcinogens and Genotoxicity Assessment 2
- Co-authors
- Steven A. Belinsky (14 shared papers)Mathewos Tessema (5 shared papers)Daniel E. Juri (8 shared papers)Carmen S. Tellez (7 shared papers)Shuguang Leng (4 shared papers)Amanda M. Bernauer (2 shared papers)Leah A. Damiani (2 shared papers)Christin M. Yingling (5 shared papers)
- Journals
- Cancer Research (4 papers)Lung Cancer (2 papers)Oncogene (2 papers)Toxicological Sciences (2 papers)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesBelgiumJapan
In The Last Decade
Kieu Do
15 papers receiving 791 citations
Peers
Comparison fields: 5 of 72
- Cancer Research 256
- Oncology 184
- Molecular Biology 504
- Pulmonary and Respiratory Medicine 104
- Immunology 57
Countries citing papers authored by Kieu Do
This map shows the geographic impact of Kieu Do'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 Kieu Do with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kieu Do more than expected).
Fields of papers citing papers by Kieu Do
This network shows the impact of papers produced by Kieu Do. 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 Kieu Do. The network helps show where Kieu Do may publish in the future.
Co-authors
The 25 scholars most cited alongside Kieu Do, 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 | 2011 | 252 | |
| 2 | 2008 | 96 | |
| 3 | 2010 | 96 | |
| 4 | 2012 | 82 | |
| 5 | 1998 | 60 | |
| 6 | 2008 | 57 | |
| 7 | 2016 | 32 | |
| 8 | 2014 | 26 | |
| 9 | 2020 | 23 | |
| 10 | 2014 | 22 | |
| 11 | 2009 | 20 | |
| 12 | 2021 | 18 | |
| 13 | 2020 | 11 | |
| 14 | 2023 | 8 | |
| 15 | 2021 | 4 |
About Kieu Do
Kieu Do is a scholar working on Molecular Biology, Cancer Research, Health, Toxicology and Mutagenesis, Oncology and Physiology, having authored 15 papers that have together received 807 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (6 papers), RNA modifications and cancer (4 papers), Cancer-related gene regulation (3 papers), MicroRNA in disease regulation (2 papers), Indoor Air Quality and Microbial Exposure (2 papers), Smoking Behavior and Cessation (2 papers), Carcinogens and Genotoxicity Assessment (2 papers) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Cancer Research (256 citations), Oncology (184 citations), Molecular Biology (504 citations), Pulmonary and Respiratory Medicine (104 citations) and Immunology (57 citations). Kieu Do has collaborated with scholars based in United States, Belgium and Japan. Frequent co-authors include Steven A. Belinsky, Mathewos Tessema, Daniel E. Juri, Carmen S. Tellez, Shuguang Leng, Amanda M. Bernauer, Leah A. Damiani, Christin M. Yingling, Leander Van Neste and Maria A. Picchi. Their work appears in journals such as Cancer Research, Lung Cancer, Oncogene, Toxicological Sciences and Clinical Cancer Research.
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.