Andrew Cho
Impact in
- Biomaterials top 10%
- Supramolecular Self-Assembly in Materials
- Nanoparticle-Based Drug Delivery
Papers in
-
- CRISPR and Genetic Engineering 4
- Advanced biosensing and bioanalysis techniques 3
- Chemical Synthesis and Analysis 3
-
- Supramolecular Self-Assembly in Materials 3
- Co-authors
- Ashok B. Kulkarni (6 shared papers)Naoto Haruyama (2 shared papers)Ronald N. Zuckermann (4 shared papers)Babak Sanii (4 shared papers)Gloria K. Olivier (4 shared papers)Helen Tran (3 shared papers)Michael D. Connolly (1 shared paper)Jason S. Lewis (4 shared papers)
- Journals
- Current Protocols in Cell Biology (3 papers)Theranostics (2 papers)ACS Nano (2 papers)Journal of Nuclear Medicine (2 papers)Macromolecules (1 paper)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Andrew Cho
19 papers receiving 818 citations
Peers
Comparison fields: 5 of 103
- Biomaterials 171
- Developmental Neuroscience 27
- Molecular Biology 432
- Radiology, Nuclear Medicine and Imaging 106
- Spectroscopy 73
Countries citing papers authored by Andrew Cho
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
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-authors
The 25 scholars most cited alongside Andrew Cho, 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 | 2011 | 127 | |
| 2 | 2013 | 97 | |
| 3 | 2019 | 78 | |
| 4 | 2001 | 78 | |
| 5 | 2009 | 58 | |
| 6 | 2009 | 54 | |
| 7 | 2014 | 44 | |
| 8 | 2003 | 37 | |
| 9 | 2018 | 35 | |
| 10 | 2018 | 35 | |
| 11 | 2021 | 34 | |
| 12 | 2017 | 32 | |
| 13 | 2019 | 26 | |
| 14 | 2001 | 24 | |
| 15 | 2020 | 18 | |
| 16 | 2017 | 18 | |
| 17 | 2019 | 16 | |
| 18 | 2018 | 14 | |
| 19 | 2012 | 1 | |
| 20 | 2016 | 0 |
About Andrew Cho
Andrew Cho is a scholar working on Molecular Biology, Biomaterials, Biophysics, Genetics and Spectroscopy, having authored 20 papers that have together received 826 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (4 papers), Electron Spin Resonance Studies (4 papers), Advanced biosensing and bioanalysis techniques (3 papers), Advanced NMR Techniques and Applications (3 papers), Supramolecular Self-Assembly in Materials (3 papers), Chemical Synthesis and Analysis (3 papers), Animal Genetics and Reproduction (2 papers) and Lanthanide and Transition Metal Complexes (2 papers). The work is most often cited by research in Biomaterials (171 citations), Developmental Neuroscience (27 citations), Molecular Biology (432 citations), Radiology, Nuclear Medicine and Imaging (106 citations) and Spectroscopy (73 citations). Andrew Cho has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Ashok B. Kulkarni, Naoto Haruyama, Ronald N. Zuckermann, Babak Sanii, Gloria K. Olivier, Helen Tran, Michael D. Connolly, Jason S. Lewis, Neeraja Venkateswaran and Romas Kudirka. Their work appears in journals such as Current Protocols in Cell Biology, Theranostics, ACS Nano, Journal of Nuclear Medicine and Macromolecules.
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.