Aesop Cho
Impact in
- Infectious Diseases top 5%
- HIV/AIDS drug development and treatment
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Hepatology top 5%
- Hepatitis C virus research
Papers in
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- Biochemical and Molecular Research 9
- Cancer therapeutics and mechanisms 4
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- HIV/AIDS drug development and treatment 10
- Co-authors
- Adrian S. Ray (9 shared papers)Joy Y. Feng (7 shared papers)Choung U. Kim (11 shared papers)Jie Xu (7 shared papers)Thomas Butler (5 shared papers)Jason K. Perry (3 shared papers)Jennifer E. Vela (3 shared papers)Oliver L. Saunders (3 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (14 papers)Tetrahedron Letters (2 papers)Antimicrobial Agents and Chemotherapy (2 papers)The Journal of Antibiotics (1 paper)PLoS Pathogens (1 paper)
- Partner nations
- United StatesFranceJapan
In The Last Decade
Aesop Cho
23 papers receiving 871 citations
Peers
Comparison fields: 5 of 72
- Infectious Diseases 450
- Hepatology 162
- Molecular Medicine 89
- Virology 63
- Epidemiology 254
Countries citing papers authored by Aesop Cho
This map shows the geographic impact of Aesop 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 Aesop Cho with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aesop Cho more than expected).
Fields of papers citing papers by Aesop Cho
This network shows the impact of papers produced by Aesop 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 Aesop Cho. The network helps show where Aesop Cho may publish in the future.
Co-authors
The 25 scholars most cited alongside Aesop 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
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 254 | |
| 2 | 2012 | 156 | |
| 3 | 2012 | 98 | |
| 4 | 2003 | 55 | |
| 5 | 2004 | 43 | |
| 6 | 2011 | 38 | |
| 7 | 2011 | 28 | |
| 8 | 2014 | 28 | |
| 9 | 2012 | 27 | |
| 10 | 2012 | 26 | |
| 11 | 2007 | 21 | |
| 12 | 2006 | 18 | |
| 13 | 2011 | 18 | |
| 14 | 2004 | 17 | |
| 15 | 2000 | 16 | |
| 16 | 2004 | 13 | |
| 17 | 2014 | 12 | |
| 18 | 2001 | 9 | |
| 19 | 2018 | 9 | |
| 20 | 2012 | 8 |
About Aesop Cho
Aesop Cho is a scholar working on Molecular Biology, Infectious Diseases, Hepatology, Organic Chemistry and Epidemiology, having authored 24 papers that have together received 906 indexed citations. Recurring topics across this work include Hepatitis C virus research (11 papers), HIV/AIDS drug development and treatment (10 papers), Biochemical and Molecular Research (9 papers), Cancer therapeutics and mechanisms (4 papers), Synthesis and Biological Evaluation (4 papers), Antibiotic Resistance in Bacteria (4 papers), Quinazolinone synthesis and applications (3 papers) and Antibiotics Pharmacokinetics and Efficacy (3 papers). The work is most often cited by research in Infectious Diseases (450 citations), Hepatology (162 citations), Molecular Medicine (89 citations), Virology (63 citations) and Epidemiology (254 citations). Aesop Cho has collaborated with scholars based in United States, France and Japan. Frequent co-authors include Adrian S. Ray, Joy Y. Feng, Choung U. Kim, Jie Xu, Thomas Butler, Jason K. Perry, Jennifer E. Vela, Oliver L. Saunders, T.C. Appleby and Ona Barauskas. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Tetrahedron Letters, Antimicrobial Agents and Chemotherapy, The Journal of Antibiotics and PLoS Pathogens.
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.