T. P. Dang
Impact in
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- MicroRNA in disease regulation
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- Developmental Biology and Gene Regulation
- Epigenetics and DNA Methylation
- Cancer-related gene regulation
- Protein Degradation and Inhibitors
- Hedgehog Signaling Pathway Studies
Papers in
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- Lung Cancer Treatments and Mutations 2
- Lung Cancer Diagnosis and Treatment 2
- Sarcoma Diagnosis and Treatment 1
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- Developmental Biology and Gene Regulation 2
- Epigenetics and DNA Methylation 1
- Co-authors
- David P. Carbone (4 shared papers)Adi F. Gazdar (1 shared paper)Kenneth R. Hande (1 shared paper)A K Virmani (1 shared paper)J D Minna (1 shared paper)Jenny R. Roberts (1 shared paper)Xun Chen (1 shared paper)Jun Konishi (1 shared paper)
- Journals
- Journal of Clinical Oncology (3 papers)Oncogene (1 paper)Cell Death and Differentiation (1 paper)British Journal of Cancer (1 paper)JNCI Journal of the National Cancer Institute (1 paper)
- Partner nations
- United StatesItalyCanada
In The Last Decade
T. P. Dang
7 papers receiving 370 citations
Peers
Comparison fields: 5 of 37
- Cancer Research 73
- Molecular Biology 286
- Oncology 97
- Pulmonary and Respiratory Medicine 78
- Small Animals 15
Countries citing papers authored by T. P. Dang
This map shows the geographic impact of T. P. Dang'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 T. P. Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. P. Dang more than expected).
Fields of papers citing papers by T. P. Dang
This network shows the impact of papers produced by T. P. Dang. 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 T. P. Dang. The network helps show where T. P. Dang may publish in the future.
Co-authors
The 25 scholars most cited alongside T. P. Dang, 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 | 2000 | 203 | |
| 2 | 2009 | 73 | |
| 3 | 2012 | 45 | |
| 4 | 2011 | 44 | |
| 5 | 2005 | 3 | |
| 6 | 2008 | 2 | |
| 7 | 2008 | 1 |
About T. P. Dang
T. P. Dang is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging and Organic Chemistry, having authored 7 papers that have together received 371 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (2 papers), Lung Cancer Treatments and Mutations (2 papers), Lung Cancer Research Studies (2 papers), Developmental Biology and Gene Regulation (2 papers), Lung Cancer Diagnosis and Treatment (2 papers), Sarcoma Diagnosis and Treatment (1 paper), Epigenetics and DNA Methylation (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Cancer Research (73 citations), Molecular Biology (286 citations), Oncology (97 citations), Pulmonary and Respiratory Medicine (78 citations) and Small Animals (15 citations). T. P. Dang has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include David P. Carbone, Adi F. Gazdar, Kenneth R. Hande, A K Virmani, J D Minna, Jenny R. Roberts, Xun Chen, Jun Konishi, Yi Fu and Jun Sakakibara‐Konishi. Their work appears in journals such as Journal of Clinical Oncology, Oncogene, Cell Death and Differentiation, British Journal of Cancer and JNCI Journal of the National Cancer Institute.
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.