Andrew Cho

1.1k total citations
20 papers, 826 citations indexed

About

Andrew Cho is a scholar working on Molecular Biology, Biomaterials and Biophysics. According to data from OpenAlex, Andrew Cho has authored 20 papers receiving a total of 826 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Biomaterials and 4 papers in Biophysics. Recurrent topics in Andrew Cho's work include Electron Spin Resonance Studies (4 papers), CRISPR and Genetic Engineering (4 papers) and Chemical Synthesis and Analysis (3 papers). Andrew Cho is often cited by papers focused on Electron Spin Resonance Studies (4 papers), CRISPR and Genetic Engineering (4 papers) and Chemical Synthesis and Analysis (3 papers). Andrew Cho collaborates with scholars based in United States, Australia and Canada. Andrew Cho's co-authors include Ashok B. Kulkarni, Naoto Haruyama, Babak Sanii, Ronald N. Zuckermann, Gloria K. Olivier, Helen Tran, Michael D. Connolly, Jason S. Lewis, Romas Kudirka and Neeraja Venkateswaran and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Neuroscience and ACS Nano.

In The Last Decade

Andrew Cho

19 papers receiving 818 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andrew Cho United States 17 432 171 110 108 106 20 826
Ranganath Parthasarathy United States 12 738 1.7× 132 0.8× 87 0.8× 103 1.0× 92 0.9× 20 1.1k
Leonard G. Luyt Canada 23 721 1.7× 135 0.8× 197 1.8× 179 1.7× 294 2.8× 90 1.6k
Yu Jin Jang South Korea 17 514 1.2× 136 0.8× 104 0.9× 303 2.8× 35 0.3× 36 1.2k
Colin M. Fadzen United States 12 562 1.3× 101 0.6× 65 0.6× 214 2.0× 46 0.4× 16 937
Jae-Hyuk Lee South Korea 22 468 1.1× 65 0.4× 64 0.6× 83 0.8× 82 0.8× 64 988
Véronique Bouchaud France 17 466 1.1× 272 1.6× 187 1.7× 276 2.6× 121 1.1× 26 1.1k
Atom Sarkar United States 18 680 1.6× 131 0.8× 113 1.0× 305 2.8× 37 0.3× 35 1.4k
Choi‐Fong Cho United States 13 422 1.0× 104 0.6× 45 0.4× 239 2.2× 44 0.4× 20 811
Klaus Braun Germany 18 473 1.1× 69 0.4× 120 1.1× 195 1.8× 154 1.5× 49 913
Tetsuya Kadonosono Japan 17 640 1.5× 83 0.5× 127 1.2× 387 3.6× 176 1.7× 52 1.1k

Countries citing papers authored by Andrew Cho

Since Specialization
Citations

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

Fields of papers citing papers by Andrew Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew Cho

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

All Works

20 of 20 papers shown
1.
Marullo, Rossella, M. Castro, Shira Yomtoubian, et al.. (2021). The metabolic adaptation evoked by arginine enhances the effect of radiation in brain metastases. Science Advances. 7(45). eabg1964–eabg1964. 34 indexed citations
2.
Goos, Jeroen, Thomas R. Dilling, Andrew Cho, et al.. (2020). Design and preclinical evaluation of nanostars for the passive pretargeting of tumor tissue. Nuclear Medicine and Biology. 84-85. 63–72. 18 indexed citations
3.
Goos, Jeroen, Andrew Cho, Lukas M. Carter, et al.. (2019). Delivery of polymeric nanostars for molecular imaging and endoradiotherapy through the enhanced permeability and retention (EPR) effect. Theranostics. 10(2). 567–584. 78 indexed citations
4.
Escorcia, Freddy E., Jacob L. Houghton, Dalya Abdel-Atti, et al.. (2019). ImmunoPET Predicts Response to Met-targeted Radioligand Therapy in Models of Pancreatic Cancer Resistant to Met Kinase Inhibitors. Theranostics. 10(1). 151–165. 26 indexed citations
5.
Cho, Andrew, Roozbeh Eskandari, Kristin L. Granlund, & Kayvan R. Keshari. (2019). Hyperpolarized [6-13C,15N3]-Arginine as a Probe for in Vivo Arginase Activity. ACS Chemical Biology. 14(4). 665–673. 16 indexed citations
6.
Radke, Anna K., Elías Utreras, Ramón Sotomayor‐Zárate, et al.. (2018). Behavioral and synaptic alterations relevant to obsessive-compulsive disorder in mice with increased EAAT3 expression. Neuropsychopharmacology. 44(6). 1163–1173. 35 indexed citations
7.
Cho, Andrew, Roozbeh Eskandari, Vesselin Z. Miloushev, & Kayvan R. Keshari. (2018). A non-synthetic approach to extending the lifetime of hyperpolarized molecules using D2O solvation. Journal of Magnetic Resonance. 295. 57–62. 14 indexed citations
8.
Hall, Bradford, Andrew Cho, Advait Limaye, et al.. (2018). Genome Editing in Mice Using CRISPR/Cas9 Technology. Current Protocols in Cell Biology. 81(1). e57–e57. 35 indexed citations
9.
Price, Eric W., Kathryn E. Carnazza, Sean Carlin, et al.. (2017). 89Zr-DFO-AMG102 Immuno-PET to Determine Local Hepatocyte Growth Factor Protein Levels in Tumors for Enhanced Patient Selection. Journal of Nuclear Medicine. 58(9). 1386–1394. 32 indexed citations
10.
Cho, Andrew, Justin Y. C. Lau, Benjamin Geraghty, Charles H. Cunningham, & Kayvan R. Keshari. (2017). Noninvasive Interrogation of Cancer Metabolism with Hyperpolarized 13C MRI. Journal of Nuclear Medicine. 58(8). 1201–1206. 18 indexed citations
11.
12.
Sanii, Babak, Thomas K. Haxton, Gloria K. Olivier, et al.. (2014). Structure-Determining Step in the Hierarchical Assembly of Peptoid Nanosheets. ACS Nano. 8(11). 11674–11684. 44 indexed citations
13.
Olivier, Gloria K., Andrew Cho, Babak Sanii, et al.. (2013). Antibody-Mimetic Peptoid Nanosheets for Molecular Recognition. ACS Nano. 7(10). 9276–9286. 97 indexed citations
14.
Sanii, Babak, Romas Kudirka, Andrew Cho, et al.. (2012). Shaken, Not Stirred: Collapsing a Peptoid Monolayer to Produce Free-Floating, Stable Nanosheets. Biophysical Journal. 102(3). 269a–269a. 1 indexed citations
15.
Sanii, Babak, Romas Kudirka, Andrew Cho, et al.. (2011). Shaken, Not Stirred: Collapsing a Peptoid Monolayer To Produce Free-Floating, Stable Nanosheets. Journal of the American Chemical Society. 133(51). 20808–20815. 127 indexed citations
16.
Haruyama, Naoto, Andrew Cho, & Ashok B. Kulkarni. (2009). Overview: Engineering Transgenic Constructs and Mice. Current Protocols in Cell Biology. 42(1). Unit 19.10–Unit 19.10. 54 indexed citations
17.
Cho, Andrew, Naoto Haruyama, & Ashok B. Kulkarni. (2009). Generation of Transgenic Mice. Current Protocols in Cell Biology. 42(1). Unit 19.11–Unit 19.11. 58 indexed citations
18.
19.
Hirasawa, Motoyuki, Andrew Cho, Taduru Sreenath, et al.. (2001). Neuron-specific expression of Cre recombinase during the late phase of brain development. Neuroscience Research. 40(2). 125–132. 24 indexed citations
20.
Tanaka, Teruyuki, Veeranna, Toshio Ohshima, et al.. (2001). Neuronal Cyclin-Dependent Kinase 5 Activity Is Critical for Survival. Journal of Neuroscience. 21(2). 550–558. 78 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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