Kevin D. Vo

1.0k total citations
13 papers, 163 citations indexed

About

Kevin D. Vo is a scholar working on Molecular Biology, Oncology and Computational Mechanics. According to data from OpenAlex, Kevin D. Vo has authored 13 papers receiving a total of 163 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Computational Mechanics. Recurrent topics in Kevin D. Vo's work include RNA Research and Splicing (4 papers), RNA modifications and cancer (3 papers) and Hedgehog Signaling Pathway Studies (2 papers). Kevin D. Vo is often cited by papers focused on RNA Research and Splicing (4 papers), RNA modifications and cancer (3 papers) and Hedgehog Signaling Pathway Studies (2 papers). Kevin D. Vo collaborates with scholars based in United States, Australia and China. Kevin D. Vo's co-authors include Jordan Berlin, Adriana González, Kay Washington, Thao P. Dang, Shyamala Maheswaran, Mehmet Toner, Eric C. Tai, Daniel A. Haber, David T. Ting and Lecia V. Sequist and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Kevin D. Vo

12 papers receiving 163 citations

Peers

Kevin D. Vo

MB

ONCOL

CR

BE

PRM

Karina Vázquez-Arreguín United States

Marlen Keil Germany

Varun Sahu United States

Zahra Dantes Germany

Philipp Eser Germany

Ragna S. Häussler Sweden

Élodie Roger Germany

Xiaosai Yao United States

Salma El-Sahhar United Kingdom

Tong-Xin Xie United States

Karina Vázquez-Arreguín United States

Kevin D. Vo

88 ×1.0

MB

58 ×0.8

ONCOL

35 ×0.6

CR

19 ×0.8

BE

24 ×1.8

PRM

Citations per year, relative to Kevin D. Vo Kevin D. Vo (= 1×) peers Karina Vázquez-Arreguín

Countries citing papers authored by Kevin D. Vo

Since Specialization

Citations

This map shows the geographic impact of Kevin D. 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 Kevin D. Vo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin D. Vo more than expected).

Fields of papers citing papers by Kevin D. Vo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin D. Vo

This figure shows the co-authorship network connecting the top 25 collaborators of Kevin D. Vo. A scholar is included among the top collaborators of Kevin D. 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 Kevin D. Vo. Kevin D. Vo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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13 of 13 papers shown

1.

Vo, Kevin D., et al.. (2025). mRNA Transcript Variants Expressed in Mammalian Cells. International Journal of Molecular Sciences. 26(3). 1052–1052. 1 indexed citations

2.

Vo, Kevin D., et al.. (2025). Detection of mRNA Transcript Variants. Genes. 16(3). 343–343. 1 indexed citations

3.

Vo, Kevin D., et al.. (2025). Aging Alters mRNA Processing in the Mouse Ovary. Cells. 14(13). 996–996. 1 indexed citations

4.

Chakravarthi, V. Praveen, Kevin D. Vo, Anamika Ratri, et al.. (2024). Loss of ERβ Disrupts Gene Regulation in Primordial and Primary Follicles. International Journal of Molecular Sciences. 25(6). 3202–3202. 2 indexed citations

5.

Chakravarthi, V. Praveen, Kevin D. Vo, Anamika Ratri, et al.. (2024). ERβ Regulation of Indian Hedgehog Expression in the First Wave of Ovarian Follicles. Cells. 13(7). 644–644. 2 indexed citations

6.

Vo, Kevin D., et al.. (2024). Importance of Transcript Variants in Transcriptome Analyses. Cells. 13(17). 1502–1502.

7.

Wong, Keith H.K., Shannon N. Tessier, David T. Miyamoto, et al.. (2017). Whole blood stabilization for the microfluidic isolation and molecular characterization of circulating tumor cells. Nature Communications. 8(1). 1733–1733. 54 indexed citations

8.

Franses, Joseph W., Ömer Başar, Abdurrahman Kadayıfçı, et al.. (2017). Improved Detection of Circulating Epithelial Cells in Patients with Intraductal Papillary Mucinous Neoplasms. The Oncologist. 23(1). 121–127. 21 indexed citations

9.

Walker, David M., Kevin D. Vo, & Antoinette Tordesillas. (2013). ON REYNOLDS' DILATANCY AND SHEAR BAND EVOLUTION: A NEW PERSPECTIVE. International Journal of Bifurcation and Chaos. 23(9). 1330034–1330034. 5 indexed citations

10.

Vo, Kevin D., David M. Walker, & Antoinette Tordesillas. (2013). Transport pathways within percolating pore space networks of granular materials. AIP conference proceedings. 551–554. 1 indexed citations

11.

Vo, Kevin D., et al.. (2011). Targeting notch pathway enhances rapamycin antitumor activity in pancreas cancers through PTEN phosphorylation. Molecular Cancer. 10(1). 138–138. 53 indexed citations

12.

Xia, Bin, Alexandra Joubert, Benjamin Groves, et al.. (2010). Modulation of Cell Adhesion and Migration by the Histone Methyltransferase Subunit mDpy-30 and Its Interacting Proteins. PLoS ONE. 5(7). e11771–e11771. 15 indexed citations

13.

Vo, Kevin D., et al.. (2007). The role of Notch3 signaling pathway in pancreatic cancer. Journal of Clinical Oncology. 25(18_suppl). 21049–21049. 7 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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