Chi V. Dang
- Cancer Research top 0.01%
- Cancer, Hypoxia, and Metabolism 87
- Molecular Biology top 0.01%
- Ubiquitin and proteasome pathways 39
- Genomics and Chromatin Dynamics 31
- RNA modifications and cancer 30
- Mitochondrial Function and Pathology 30
- RNA and protein synthesis mechanisms 28
- Epigenetics and DNA Methylation 28
- Oncology top 0.1%
- Cancer-related Molecular Pathways 30
- Immunology top 0.2%
- Biochemistry top 0.1%
- Co-authors
- Jung‐whan KimGregg L. SemenzaKaren ZellerZachary E. StinePing GaoBrian J. AltmanIrina TchernyshyovPatricia L. Bounds
- Journals
- Molecular and Cellular Biology (31 papers)Proceedings of the National Academy of Sciences (26 papers)Journal of Biological Chemistry (20 papers)
- Partner nations
- United StatesChinaFrance
In The Last Decade
Chi V. Dang
298 papers receiving 52.5k citations
Hit Papers
Peers
Comparison fields: 5 of 177
- Cancer Research 24.2k
- Molecular Biology 38.9k
- Oncology 9.5k
- Immunology 5.2k
- Biochemistry 1.7k
Countries citing papers authored by Chi V. Dang
This map shows the geographic impact of Chi V. 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 Chi V. Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chi V. Dang more than expected).
Fields of papers citing papers by Chi V. Dang
This network shows the impact of papers produced by Chi V. 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 Chi V. Dang. The network helps show where Chi V. Dang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chi V. 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 | 2025 | 1 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 5 | |
| 4 | 2023 | 9 | |
| 5 | 2022 | 1 | |
| 6 | 2022 | 12 | |
| 7 | 2022 | 0 | |
| 8 | 2019 | 24 | |
| 9 | 2017 | 91 | |
| 10 | 2017 | 11 | |
| 11 | 2017 | 74 | |
| 12 | 2017 | 181 | |
| 13 | 2015 | 119 | |
| 14 | 2015 | 133 | |
| 15 | 2010 | 410 | |
| 16 | Inhibition of lactate dehydrogenase A induces oxidative stress and inhibits tumor progressionbreakdown → | 2010 | 1169 |
| 17 | 2009 | 276 | |
| 18 | 2001 | 106 | |
| 19 | MXI1, a putative tumor suppressor gene, suppresses growth of human glioblastoma cells. | 1997 | 86 |
| 20 | 1996 | 56 |
About Chi V. Dang
Chi V. Dang is a scholar working on Cancer Research, Molecular Biology and Endocrine and Autonomic Systems, having authored 310 papers that have together received 53.3k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (87 papers), Ubiquitin and proteasome pathways (39 papers), Genomics and Chromatin Dynamics (31 papers), Cancer-related Molecular Pathways (30 papers), RNA modifications and cancer (30 papers), Mitochondrial Function and Pathology (30 papers), RNA and protein synthesis mechanisms (28 papers) and Epigenetics and DNA Methylation (28 papers). The work is most often cited by research in Cancer Research (24.2k citations), Molecular Biology (38.9k citations) and Oncology (9.5k citations). Chi V. Dang has collaborated with scholars based in United States, China and France. Frequent co-authors include Jung‐whan Kim, Gregg L. Semenza, Karen Zeller, Zachary E. Stine, Ping Gao, Brian J. Altman, Irina Tchernyshyov, Patricia L. Bounds, Willem H. Koppenol and Kathryn A. O’Donnell. Their work appears in journals such as Molecular and Cellular Biology, Proceedings of the National Academy of Sciences, Journal of Biological Chemistry, Cancer Research and Blood.
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.