Juandy Jo
Impact in
- Hepatology top 2%
- Hepatitis C virus research
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- interferon and immune responses
Papers in ⓘ
-
- SARS-CoV-2 and COVID-19 Research 8
- COVID-19 Clinical Research Studies 4
- SARS-CoV-2 detection and testing 3
-
- Hepatitis C virus research 7
- Co-authors
- Antonio Bertoletti (5 shared papers)Elena Sandalova (5 shared papers)Anthony T. Tan (3 shared papers)Xin-Zi Tang (2 shared papers)Kang Hoe Lee (2 shared papers)Gennaro De Libero (2 shared papers)Adam J. Gehring (2 shared papers)Adeline Chia (2 shared papers)
- Journals
- Clinical and Experimental Vaccine Research (4 papers)PLoS Pathogens (2 papers)Gastroenterology (2 papers)Scientific Reports (1 paper)Journal of Hepatology (1 paper)
- Partner nations
- IndonesiaSingaporeUnited Kingdom
In The Last Decade
Juandy Jo
25 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 85
- Hepatology 530
- Immunology 640
- Epidemiology 616
- Virology 55
- Immunology and Allergy 53
Countries citing papers authored by Juandy Jo
This map shows the geographic impact of Juandy Jo'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 Juandy Jo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Juandy Jo more than expected).
Fields of papers citing papers by Juandy Jo
This network shows the impact of papers produced by Juandy Jo. 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 Juandy Jo. The network helps show where Juandy Jo may publish in the future.
Co-authors
The 25 scholars most cited alongside Juandy Jo, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 352 | |
| 2 | 2013 | 267 | |
| 3 | 2012 | 220 | |
| 4 | 2014 | 187 | |
| 5 | 2008 | 95 | |
| 6 | 2013 | 37 | |
| 7 | 2014 | 32 | |
| 8 | 2018 | 26 | |
| 9 | 2021 | 22 | |
| 10 | 2012 | 16 | |
| 11 | 2010 | 16 | |
| 12 | 2024 | 13 | |
| 13 | 2021 | 9 | |
| 14 | 2021 | 8 | |
| 15 | 2022 | 6 | |
| 16 | 2022 | 4 | |
| 17 | 2023 | 3 | |
| 18 | 2022 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2022 | 2 |
About Juandy Jo
Juandy Jo is a scholar working on Infectious Diseases, Hepatology, Epidemiology, Molecular Biology and Immunology, having authored 33 papers that have together received 1.3k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (8 papers), Hepatitis C virus research (7 papers), Hepatitis B Virus Studies (5 papers), Infant Nutrition and Health (5 papers), COVID-19 Clinical Research Studies (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Immune Cell Function and Interaction (4 papers) and SARS-CoV-2 detection and testing (3 papers). The work is most often cited by research in Hepatology (530 citations), Immunology (640 citations), Epidemiology (616 citations), Virology (55 citations) and Immunology and Allergy (53 citations). Juandy Jo has collaborated with scholars based in Indonesia, Singapore and United Kingdom. Frequent co-authors include Antonio Bertoletti, Elena Sandalova, Anthony T. Tan, Xin-Zi Tang, Kang Hoe Lee, Gennaro De Libero, Adam J. Gehring, Adeline Chia, Kai Chah Tan and Upkar S. Gill. Their work appears in journals such as Clinical and Experimental Vaccine Research, PLoS Pathogens, Gastroenterology, Scientific Reports and Journal of Hepatology.
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.