Hyun Mo Yang
- Public Health, Environmental and Occupational Health top 0.5%
- Modeling and Simulation top 0.2%
- Infectious Diseases top 2%
- Genetics top 5%
- Molecular Biology
- Co-authors
- L. EstevaK. C. GalvaniMaria Teresa Macoris AndrighettiNorberto Aníbal MaidanaDalva Marli Valério WanderleyM.L.G. MacorisCláudia Pio FerreiraEduardo Massad
- Topics
- Mathematical and Theoretical Epidemiology and Ecology Models (48 papers)COVID-19 epidemiological studies (39 papers)Mosquito-borne diseases and control (24 papers)
- Cited by
- Modeling and SimulationPublic Health, Environmental and Occupational HealthInfectious Diseases
- Journals
- SHILAP Revista de lepidopterologíaEnvironmental Science & TechnologyPLoS ONE
- Partner nations
- BrazilUnited StatesMexico
In The Last Decade
Hyun Mo Yang
108 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 134
- Public Health, Environmental and Occupational Health 1.6k
- Modeling and Simulation 853
- Infectious Diseases 652
- Genetics 432
- Molecular Biology 283
Countries citing papers authored by Hyun Mo Yang
This map shows the geographic impact of Hyun Mo Yang'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 Hyun Mo Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hyun Mo Yang more than expected).
Fields of papers citing papers by Hyun Mo Yang
This network shows the impact of papers produced by Hyun Mo Yang. 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 Hyun Mo Yang. The network helps show where Hyun Mo Yang may publish in the future.
Co-authorship network of co-authors of Hyun Mo Yang
This figure shows the co-authorship network connecting the top 25 collaborators of Hyun Mo Yang. A scholar is included among the top collaborators of Hyun Mo Yang 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 Hyun Mo Yang. Hyun Mo Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 23 | |
| 4 | 3 | |
| 5 | 14 | |
| 6 | 11 | |
| 7 | 6 | |
| 8 | 1 | |
| 9 | 4 | |
| 10 | 26 | |
| 11 | 47 | |
| 12 | 19 | |
| 13 | 8 | |
| 14 | 18 | |
| 15 | 59 | |
| 16 | 11 | |
| 17 | 43 | |
| 18 | 14 | |
| 19 | 33 | |
| 20 | The Stabilizing Effects Of The Acquired Immunity On The Schistosomiasis Transmission Modeling--the Sensitivity Analysis. | 1 |
About Hyun Mo Yang
Hyun Mo Yang is a scholar working on Modeling and Simulation, Public Health, Environmental and Occupational Health and Virology, having authored 115 papers that have together received 2.6k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (48 papers), COVID-19 epidemiological studies (39 papers) and Mosquito-borne diseases and control (24 papers). The work is most often cited by research in Modeling and Simulation (853 citations), Public Health, Environmental and Occupational Health (1.6k citations) and Infectious Diseases (652 citations). Hyun Mo Yang has collaborated with scholars based in Brazil, United States and Mexico. Frequent co-authors include L. Esteva, K. C. Galvani, Maria Teresa Macoris Andrighetti, Norberto Aníbal Maidana, Dalva Marli Valério Wanderley, M.L.G. Macoris, Cláudia Pio Ferreira, Eduardo Massad, L.K. Takahashi and Hyun‐Kyung Shin. Their work appears in journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and PLoS ONE.
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.