Kyvan Dang
Impact in
- Cell Biology top 10%
- Hippo pathway signaling and YAP/TAZ
- Cellular Mechanics and Interactions
- Microtubule and mitosis dynamics
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- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Hippo pathway signaling and YAP/TAZ 5
- Microtubule and mitosis dynamics 3
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- PI3K/AKT/mTOR signaling in cancer 2
- Kruppel-like factors research 1
- Angiogenesis and VEGF in Cancer 1
- Co-authors
- Junhao Mao (6 shared papers)Jennifer L. Cotton (4 shared papers)Xu Wu (4 shared papers)Randy L. Johnson (2 shared papers)Lihua Julie Zhu (3 shared papers)Y. Tony Ip (3 shared papers)Qi Li (2 shared papers)Kenneth A. Myers (2 shared papers)
- Journals
- Cell Reports (2 papers)Journal of Visualized Experiments (2 papers)iScience (1 paper)The EMBO Journal (1 paper)The Journal of Cell Biology (1 paper)
- Partner nations
- United StatesSouth KoreaUnited Kingdom
In The Last Decade
Kyvan Dang
10 papers receiving 433 citations
Peers
Comparison fields: 5 of 58
- Cell Biology 192
- Cancer Research 148
- Molecular Biology 282
- Ophthalmology 22
- Oncology 65
Countries citing papers authored by Kyvan Dang
This map shows the geographic impact of Kyvan 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 Kyvan Dang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyvan Dang more than expected).
Fields of papers citing papers by Kyvan Dang
This network shows the impact of papers produced by Kyvan 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 Kyvan Dang. The network helps show where Kyvan Dang may publish in the future.
Co-authors
The 25 scholars most cited alongside Kyvan 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 | 2015 | 139 | |
| 2 | 2020 | 120 | |
| 3 | 2019 | 57 | |
| 4 | 2014 | 48 | |
| 5 | 2017 | 33 | |
| 6 | 2023 | 33 | |
| 7 | 2022 | 3 | |
| 8 | 2016 | 3 | |
| 9 | 2016 | 1 | |
| 10 | 2025 | 1 |
About Kyvan Dang
Kyvan Dang is a scholar working on Cell Biology, Molecular Biology, Cancer Research, Pathology and Forensic Medicine and Infectious Diseases, having authored 10 papers that have together received 438 indexed citations. Recurring topics across this work include Hippo pathway signaling and YAP/TAZ (5 papers), Microtubule and mitosis dynamics (3 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Cancer Genomics and Diagnostics (1 paper), Kruppel-like factors research (1 paper), MicroRNA in disease regulation (1 paper), Genetic factors in colorectal cancer (1 paper) and Angiogenesis and VEGF in Cancer (1 paper). The work is most often cited by research in Cell Biology (192 citations), Cancer Research (148 citations), Molecular Biology (282 citations), Ophthalmology (22 citations) and Oncology (65 citations). Kyvan Dang has collaborated with scholars based in United States, South Korea and United Kingdom. Frequent co-authors include Junhao Mao, Jennifer L. Cotton, Xu Wu, Randy L. Johnson, Lihua Julie Zhu, Y. Tony Ip, Qi Li, Kenneth A. Myers, Clare M. Waterman and Michael W. Davidson. Their work appears in journals such as Cell Reports, Journal of Visualized Experiments, iScience, The EMBO Journal and The Journal of Cell Biology.
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.