Hang Tran
Impact in
- Reproductive Medicine top 5%
- Ovarian cancer diagnosis and treatment
-
- Cancer Genomics and Diagnostics
Papers in
-
- Epigenetics and DNA Methylation 2
- Kruppel-like factors research 1
-
- Cancer Genomics and Diagnostics 4
- Co-authors
- Beth Y. Karlan (7 shared papers)Rae Lynn Baldwin (4 shared papers)Ilana Cass (2 shared papers)Hyun S. Shvartsman (1 shared paper)Elizabeta Nemeth (1 shared paper)Steven A. Narod (1 shared paper)Daniel R. Scoles (3 shared papers)Xuan Xu (1 shared paper)
- Journals
- Journal of Clinical Oncology (7 papers)Gynecologic Oncology (3 papers)Cancers (1 paper)Carcinogenesis (1 paper)Emerging infectious diseases (1 paper)
- Partner nations
- United StatesSouth KoreaItaly
In The Last Decade
Hang Tran
17 papers receiving 561 citations
Peers
Comparison fields: 5 of 70
- Reproductive Medicine 128
- Cancer Research 139
- Oncology 215
- Molecular Biology 402
- Genetics 126
Countries citing papers authored by Hang Tran
This map shows the geographic impact of Hang Tran'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 Hang Tran with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hang Tran more than expected).
Fields of papers citing papers by Hang Tran
This network shows the impact of papers produced by Hang Tran. 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 Hang Tran. The network helps show where Hang Tran may publish in the future.
Co-authors
The 25 scholars most cited alongside Hang Tran, 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 | BRCA1 promoter region hypermethylation in ovarian carcinoma: a population-based study. | 2000 | 268 |
| 2 | 2008 | 63 | |
| 3 | 2009 | 56 | |
| 4 | Loss of c-myc repression coincides with ovarian cancer resistance to transforming growth factor beta growth arrest independent of transforming growth factor beta/Smad signaling. | 2003 | 50 |
| 5 | 1999 | 40 | |
| 6 | 2015 | 21 | |
| 7 | 2011 | 18 | |
| 8 | 2006 | 11 | |
| 9 | 2008 | 10 | |
| 10 | 2011 | 8 | |
| 11 | 2010 | 6 | |
| 12 | 2023 | 5 | |
| 13 | 2023 | 4 | |
| 14 | 2011 | 4 | |
| 15 | 2008 | 3 | |
| 16 | 2025 | 1 | |
| 17 | 2022 | 1 | |
| 18 | 2020 | 0 |
About Hang Tran
Hang Tran is a scholar working on Molecular Biology, Cancer Research, Pulmonary and Respiratory Medicine, Oncology and Sociology and Political Science, having authored 18 papers that have together received 569 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (4 papers), Renal cell carcinoma treatment (3 papers), Epigenetics and DNA Methylation (2 papers), Ferroptosis and cancer prognosis (2 papers), Lung Cancer Treatments and Mutations (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (1 paper), Kruppel-like factors research (1 paper) and Colorectal Cancer Treatments and Studies (1 paper). The work is most often cited by research in Reproductive Medicine (128 citations), Cancer Research (139 citations), Oncology (215 citations), Molecular Biology (402 citations) and Genetics (126 citations). Hang Tran has collaborated with scholars based in United States, South Korea and Italy. Frequent co-authors include Beth Y. Karlan, Rae Lynn Baldwin, Ilana Cass, Hyun S. Shvartsman, Elizabeta Nemeth, Steven A. Narod, Daniel R. Scoles, Xuan Xu, Barbie Taylor‐Harding and James Pavelka. Their work appears in journals such as Journal of Clinical Oncology, Gynecologic Oncology, Cancers, Carcinogenesis and Emerging infectious diseases.
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.