BaoHan T. Vo

935 total citations
15 papers, 502 citations indexed

About

BaoHan T. Vo is a scholar working on Molecular Biology, Genetics and Cellular and Molecular Neuroscience. According to data from OpenAlex, BaoHan T. Vo has authored 15 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Genetics and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in BaoHan T. Vo's work include Epigenetics and DNA Methylation (3 papers), TGF-β signaling in diseases (3 papers) and Hedgehog Signaling Pathway Studies (2 papers). BaoHan T. Vo is often cited by papers focused on Epigenetics and DNA Methylation (3 papers), TGF-β signaling in diseases (3 papers) and Hedgehog Signaling Pathway Studies (2 papers). BaoHan T. Vo collaborates with scholars based in United States and Germany. BaoHan T. Vo's co-authors include Shafiq A. Khan, Ana C. Millena, Derrick J. Morton, Miao Zhong, Andrew Hayhurst, Martine F. Roussel, Ellen R. Goldman, Valerie Odero-Marah, George P. Anderson and Yang Cao and has published in prestigious journals such as Journal of Biological Chemistry, Analytical Chemistry and Cancer Cell.

In The Last Decade

BaoHan T. Vo

15 papers receiving 499 citations

Peers

BaoHan T. Vo
Mi Kyung Park South Korea
Naomi Brook Australia
Stephan Woditschka United States
Jeong Yong Jeon South Korea
Colin Crean United States
Xinnong Jiang United States
Melinda D. Willard United States
BaoHan T. Vo
Citations per year, relative to BaoHan T. Vo BaoHan T. Vo (= 1×) peers Petra Ohneseit

Countries citing papers authored by BaoHan T. Vo

Since Specialization
Citations

This map shows the geographic impact of BaoHan T. Vo'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 BaoHan T. Vo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites BaoHan T. Vo more than expected).

Fields of papers citing papers by BaoHan T. Vo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by BaoHan T. Vo. 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 BaoHan T. Vo. The network helps show where BaoHan T. Vo may publish in the future.

Co-authorship network of co-authors of BaoHan T. Vo

This figure shows the co-authorship network connecting the top 25 collaborators of BaoHan T. Vo. A scholar is included among the top collaborators of BaoHan T. Vo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with BaoHan T. Vo. BaoHan T. Vo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
1.
Meyer, Danielle, BaoHan T. Vo, Amélie Paquette, et al.. (2024). Juvenile exposure to low-level 2,3,7,8-tetrachlorodibenzo-p-dioxin (TCDD) alters behavior and longitudinal morphometrics in zebrafish and F1 offspring. Journal of Developmental Origins of Health and Disease. 15. e22–e22. 1 indexed citations
2.
Vo, BaoHan T., Jingjing Liu, Beisi Xu, et al.. (2020). An ABC Transporter Drives Medulloblastoma Pathogenesis by Regulating Sonic Hedgehog Signaling. Cancer Research. 80(7). 1524–1537. 7 indexed citations
3.
Vo, BaoHan T., Chunliang Li, David Finkelstein, et al.. (2018). Mouse medulloblastoma driven by CRISPR activation of cellular Myc. Scientific Reports. 8(1). 8733–8733. 16 indexed citations
4.
Caggia, Silvia, Ana C. Millena, Jonathan N. Perkins, et al.. (2018). Novel role of Giα2 in cell migration: Downstream of PI3‐kinase–AKT and Rac1 in prostate cancer cells. Journal of Cellular Physiology. 234(1). 802–815. 14 indexed citations
5.
Vo, BaoHan T., Elmar Wolf, Daisuke Kawauchi, et al.. (2016). The Interaction of Myc with Miz1 Defines Medulloblastoma Subgroup Identity. Cancer Cell. 29(1). 5–16. 51 indexed citations
6.
Vo, BaoHan T., et al.. (2016). JunD Is Required for Proliferation of Prostate Cancer Cells and Plays a Role in Transforming Growth Factor-β (TGF-β)-induced Inhibition of Cell Proliferation. Journal of Biological Chemistry. 291(34). 17964–17976. 31 indexed citations
7.
Vo, BaoHan T., et al.. (2013). TGF-β Effects on Prostate Cancer Cell Migration and Invasion Are Mediated by PGE2 through Activation of PI3K/AKT/mTOR Pathway. Endocrinology. 154(5). 1768–1779. 162 indexed citations
10.
Chetram, Mahandranauth A., et al.. (2012). The phytoalexin camalexin mediates cytotoxicity towards aggressive prostate cancer cells via reactive oxygen species. Journal of Natural Medicines. 67(3). 607–618. 20 indexed citations
11.
Henderson, Veronica, et al.. (2012). Snail transcription factor negatively regulates maspin tumor suppressor in human prostate cancer cells. BMC Cancer. 12(1). 336–336. 27 indexed citations
12.
Zhong, Miao, et al.. (2012). The Essential Role of Giα2 in Prostate Cancer Cell Migration. Molecular Cancer Research. 10(10). 1380–1388. 18 indexed citations
13.
Vo, BaoHan T. & Shafiq A. Khan. (2011). Expression of nodal and nodal receptors in prostate stem cells and prostate cancer cells: Autocrine effects on cell proliferation and migration. The Prostate. 71(10). 1084–1096. 40 indexed citations
14.
Anderson, George P., et al.. (2008). Evaluation of llama anti-botulinum toxin Heavy chain Antibody. 1(1). 100–100. 10 indexed citations
15.
Goldman, Ellen R., George P. Anderson, Laura J. Sherwood, et al.. (2008). Thermostable Llama Single Domain Antibodies for Detection of Botulinum A Neurotoxin Complex. Analytical Chemistry. 80(22). 8583–8591. 43 indexed citations

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.

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