Dao Doan
Impact in
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- Thyroid Cancer Diagnosis and Treatment
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- Cancer-related Molecular Pathways
- HER2/EGFR in Cancer Research
Papers in
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- PI3K/AKT/mTOR signaling in cancer 3
- Angiogenesis and VEGF in Cancer 2
- Cell death mechanisms and regulation 2
- RNA Interference and Gene Delivery 2
- Oncology 3
- Peptidase Inhibition and Analysis 1
- Co-authors
- Samar A. Jasser (6 shared papers)Jeffrey N. Myers (6 shared papers)Orhan G. Yigitbasi (5 shared papers)B. Nebiyou Bekele (4 shared papers)Bradley A. Schiff (4 shared papers)Maher N. Younes (4 shared papers)Mahitosh Mandal (4 shared papers)Seungwon Kim (3 shared papers)
- Journals
- Clinical Cancer Research (2 papers)Oral Oncology (2 papers)Medical Physics (1 paper)Journal of Surgical Research (1 paper)International Journal of Obesity (1 paper)
- Partner nations
- United States
In The Last Decade
Dao Doan
11 papers receiving 429 citations
Peers
Comparison fields: 5 of 59
- Endocrinology, Diabetes and Metabolism 115
- Oncology 136
- Cancer Research 50
- Immunology and Allergy 18
- Molecular Biology 205
Countries citing papers authored by Dao Doan
This map shows the geographic impact of Dao Doan'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 Dao Doan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dao Doan more than expected).
Fields of papers citing papers by Dao Doan
This network shows the impact of papers produced by Dao Doan. 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 Dao Doan. The network helps show where Dao Doan may publish in the future.
Co-authors
The 25 scholars most cited alongside Dao Doan, 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 | 2004 | 142 | |
| 2 | 2004 | 67 | |
| 3 | 2005 | 57 | |
| 4 | 2001 | 51 | |
| 5 | 2006 | 49 | |
| 6 | 2003 | 39 | |
| 7 | 2014 | 25 | |
| 8 | 2019 | 3 | |
| 9 | 2019 | 2 | |
| 10 | 2015 | 2 | |
| 11 | 2004 | 1 |
About Dao Doan
Dao Doan is a scholar working on Molecular Biology, Oncology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Radiation, having authored 11 papers that have together received 438 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (3 papers), Angiogenesis and VEGF in Cancer (2 papers), Cell death mechanisms and regulation (2 papers), RNA Interference and Gene Delivery (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Advanced Radiotherapy Techniques (1 paper), NF-κB Signaling Pathways (1 paper) and Peptidase Inhibition and Analysis (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (115 citations), Oncology (136 citations), Cancer Research (50 citations), Immunology and Allergy (18 citations) and Molecular Biology (205 citations). Dao Doan has collaborated with scholars based in United States. Frequent co-authors include Samar A. Jasser, Jeffrey N. Myers, Orhan G. Yigitbasi, B. Nebiyou Bekele, Bradley A. Schiff, Maher N. Younes, Mahitosh Mandal, Seungwon Kim, Adel K. El‐Naggar and Cora Bucana. Their work appears in journals such as Clinical Cancer Research, Oral Oncology, Medical Physics, Journal of Surgical Research and International Journal of Obesity.
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.