Youngji Jo
Impact in
- Infectious Diseases top 10%
- Tuberculosis Research and Epidemiology
- HIV/AIDS Research and Interventions
- SARS-CoV-2 and COVID-19 Research
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
Papers in
-
- Tuberculosis Research and Epidemiology 7
- HIV/AIDS Research and Interventions 2
-
- Mobile Health and mHealth Applications 4
- Co-authors
- Amnesty LeFevre (6 shared papers)Alain Labrique (5 shared papers)David W. Dowdy (7 shared papers)Brooke E Nichols (5 shared papers)Garrett Mehl (1 shared paper)Sourya Shrestha (4 shared papers)Parul Christian (2 shared papers)Neff Walker (1 shared paper)
- Journals
- PLoS ONE (5 papers)Journal of the International AIDS Society (4 papers)Journal of Korean Medical Science (3 papers)Clinical Infectious Diseases (2 papers)BMJ Global Health (1 paper)
- Partner nations
- United StatesSouth AfricaSouth Korea
In The Last Decade
Youngji Jo
25 papers receiving 332 citations
Peers
Comparison fields: 5 of 61
- Infectious Diseases 124
- Modeling and Simulation 18
- Pediatrics, Perinatology and Child Health 52
- General Health Professions 51
- Safety, Risk, Reliability and Quality 17
Countries citing papers authored by Youngji Jo
This map shows the geographic impact of Youngji 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 Youngji Jo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Youngji Jo more than expected).
Fields of papers citing papers by Youngji Jo
This network shows the impact of papers produced by Youngji 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 Youngji Jo. The network helps show where Youngji Jo may publish in the future.
Co-authors
The 25 scholars most cited alongside Youngji 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 42 | |
| 2 | 2014 | 39 | |
| 3 | 2021 | 33 | |
| 4 | 2012 | 28 | |
| 5 | 2020 | 23 | |
| 6 | 2022 | 20 | |
| 7 | 2021 | 19 | |
| 8 | 2018 | 18 | |
| 9 | 2021 | 18 | |
| 10 | 2020 | 13 | |
| 11 | 2022 | 11 | |
| 12 | 2019 | 11 | |
| 13 | 2021 | 10 | |
| 14 | 2020 | 10 | |
| 15 | 2022 | 9 | |
| 16 | 2021 | 8 | |
| 17 | 2020 | 8 | |
| 18 | 2023 | 6 | |
| 19 | 2024 | 3 | |
| 20 | 2021 | 3 |
About Youngji Jo
Youngji Jo is a scholar working on Infectious Diseases, General Health Professions, Pediatrics, Perinatology and Child Health, Epidemiology and Modeling and Simulation, having authored 27 papers that have together received 338 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (7 papers), Mobile Health and mHealth Applications (4 papers), HIV/AIDS Research and Interventions (2 papers), Global Maternal and Child Health (2 papers), COVID-19 epidemiological studies (2 papers), Health disparities and outcomes (1 paper), Data-Driven Disease Surveillance (1 paper) and ICT in Developing Communities (1 paper). The work is most often cited by research in Infectious Diseases (124 citations), Modeling and Simulation (18 citations), Pediatrics, Perinatology and Child Health (52 citations), General Health Professions (51 citations) and Safety, Risk, Reliability and Quality (17 citations). Youngji Jo has collaborated with scholars based in United States, South Africa and South Korea. Frequent co-authors include Amnesty LeFevre, Alain Labrique, David W. Dowdy, Brooke E Nichols, Garrett Mehl, Sourya Shrestha, Parul Christian, Neff Walker, Hasmot Ali and Sucheta Mehra. Their work appears in journals such as PLoS ONE, Journal of the International AIDS Society, Journal of Korean Medical Science, Clinical Infectious Diseases and BMJ Global Health.
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.