Todd Vo

554 total citations
9 papers, 452 citations indexed

About

Todd Vo is a scholar working on Molecular Biology, Organic Chemistry and Infectious Diseases. According to data from OpenAlex, Todd Vo has authored 9 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 3 papers in Organic Chemistry and 2 papers in Infectious Diseases. Recurrent topics in Todd Vo's work include Viral gastroenteritis research and epidemiology (2 papers), Synthesis and biological activity (2 papers) and Cancer Mechanisms and Therapy (2 papers). Todd Vo is often cited by papers focused on Viral gastroenteritis research and epidemiology (2 papers), Synthesis and biological activity (2 papers) and Cancer Mechanisms and Therapy (2 papers). Todd Vo collaborates with scholars based in United States, Switzerland and Denmark. Todd Vo's co-authors include Robert Hamatake, T.C. Appleby, Jim Zhen Wu, I. Wayne Cheney, Shunqi Yan, Nanhua Yao, Zhi Hong, Barry Quart, Gary Larson and Jeffrey N. Miner and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cancer Research and Journal of Medicinal Chemistry.

In The Last Decade

Todd Vo

9 papers receiving 436 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Todd Vo United States 5 273 184 129 94 63 9 452
Marie‐Paule Hildebrand France 14 336 1.2× 271 1.5× 87 0.7× 120 1.3× 43 0.7× 17 630
Declan Ryan United States 5 356 1.3× 141 0.8× 104 0.8× 325 3.5× 98 1.6× 5 576
Hisashi Yoshimi Japan 6 368 1.3× 110 0.6× 44 0.3× 91 1.0× 33 0.5× 7 485
D.J. Marcotte United States 12 221 0.8× 114 0.6× 40 0.3× 111 1.2× 83 1.3× 17 421
Shin‐ichi Yaguchi Japan 10 371 1.4× 122 0.7× 34 0.3× 124 1.3× 50 0.8× 14 517
Aaron Kunzer United States 8 302 1.1× 195 1.1× 34 0.3× 74 0.8× 23 0.4× 11 472
Aras Emdadi United States 10 359 1.3× 139 0.8× 51 0.4× 71 0.8× 27 0.4× 10 479
Marc R. Arnone United States 7 474 1.7× 113 0.6× 70 0.5× 201 2.1× 36 0.6× 7 620
Anthony S. Prokopowicz United States 9 174 0.6× 195 1.1× 55 0.4× 57 0.6× 26 0.4× 10 352
Min‐Wu Chao Taiwan 15 364 1.3× 86 0.5× 31 0.2× 149 1.6× 37 0.6× 26 492

Countries citing papers authored by Todd Vo

Since Specialization
Citations

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

Fields of papers citing papers by Todd Vo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Todd Vo

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

All Works

9 of 9 papers shown
1.
DiDonato, Michael, Catherine Simpson, Todd Vo, et al.. (2025). A novel interleukin-10 antibody graft to treat inflammatory bowel disease. Structure. 33(3). 475–488.e7. 1 indexed citations
2.
Lam, Bianca J., Yu Wang, Jennifer Shaffer, et al.. (2022). Discovery of small molecules that target a tertiary-structured RNA. Proceedings of the National Academy of Sciences. 119(48). e2213117119–e2213117119. 23 indexed citations
3.
Balakrishnan, Anand, Edmund V. Price, Catherine A. Luu, et al.. (2020). Biochemical Characterization of Respiratory Syncytial Virus RNA-Dependent RNA Polymerase Complex. ACS Infectious Diseases. 6(10). 2800–2811. 2 indexed citations
4.
Grünewald, Jan, David H. Jones, Ansgar Brock, et al.. (2014). Site‐Specific Dual Labeling of Proteins by Using Small Orthogonal Tags at Neutral pH. ChemBioChem. 15(12). 1787–1791. 8 indexed citations
5.
Iverson, Cory, Gary Larson, Chon Lai, et al.. (2009). RDEA119/BAY 869766: A Potent, Selective, Allosteric Inhibitor of MEK1/2 for the Treatment of Cancer. Cancer Research. 69(17). 6839–6847. 153 indexed citations
6.
Hamatake, Robert, Li‐Tain Yeh, Hong Kim, et al.. (2007). RDEA119: A potent and highly selective MEK inhibitor for the treatment of cancer. Molecular Cancer Therapeutics. 6. 3 indexed citations
7.
Cheney, I. Wayne, Shunqi Yan, T.C. Appleby, et al.. (2007). Identification and Structure—Activity Relationships of Substituted Pyridones as Inhibitors of Pim‐1 Kinase.. ChemInform. 38(30). 4 indexed citations
8.
Cheney, I. Wayne, Shunqi Yan, T.C. Appleby, et al.. (2007). Identification and structure–activity relationships of substituted pyridones as inhibitors of Pim-1 kinase. Bioorganic & Medicinal Chemistry Letters. 17(6). 1679–1683. 148 indexed citations
9.
Andersen, Henrik Sune, Ole H. Olsen, Lars Iversen, et al.. (2002). Discovery and SAR of a Novel Selective and Orally Bioavailable Nonpeptide Classical Competitive Inhibitor Class of Protein-Tyrosine Phosphatase 1B. Journal of Medicinal Chemistry. 45(20). 4443–4459. 110 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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