Beuy Joob
Impact in
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Viral Infections and Vectors
Papers in
-
- Viral Infections and Vectors 18
- SARS-CoV-2 and COVID-19 Research 15
- COVID-19 Clinical Research Studies 12
- Viral Infections and Outbreaks Research 10
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- Mosquito-borne diseases and control 21
- Malaria Research and Control 7
- Co-authors
- Viroj Wiwanitkit (146 shared papers)Nina Ventura (1 shared paper)Edson Marchiori (1 shared paper)Bruno Niemeyer de Freitas Ribeiro (1 shared paper)Emerson L. Gasparetto (1 shared paper)
In The Last Decade
Beuy Joob
128 papers receiving 467 citations
Peers
Comparison fields: 5 of 115
- Modeling and Simulation 57
- Infectious Diseases 202
- Health Informatics 6
- Neurology 55
- Public Health, Environmental and Occupational Health 95
Countries citing papers authored by Beuy Joob
This map shows the geographic impact of Beuy Joob'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 Beuy Joob with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beuy Joob more than expected).
Fields of papers citing papers by Beuy Joob
This network shows the impact of papers produced by Beuy Joob. 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 Beuy Joob. The network helps show where Beuy Joob may publish in the future.
Co-authors
The 5 scholars most cited alongside Beuy Joob, 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 159 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 62 | |
| 2 | 2020 | 42 | |
| 3 | 2020 | 30 | |
| 4 | Blood viscosity of COVID-19 patient: a preliminary report. | 2021 | 27 |
| 5 | 2021 | 24 | |
| 6 | 2015 | 21 | |
| 7 | 2020 | 16 | |
| 8 | 2017 | 13 | |
| 9 | 2015 | 11 | |
| 10 | 2014 | 10 | |
| 11 | 2014 | 9 | |
| 12 | 2020 | 7 | |
| 13 | 2019 | 7 | |
| 14 | 2018 | 6 | |
| 15 | 2016 | 6 | |
| 16 | 2019 | 6 | |
| 17 | 2015 | 5 | |
| 18 | Acute kidney injury due to ciprofloxacin for treatment of acute pyelonephritis. | 2016 | 5 |
| 19 | 2019 | 4 | |
| 20 | 2013 | 4 |
About Beuy Joob
Beuy Joob is a scholar working on Infectious Diseases, Public Health, Environmental and Occupational Health, Epidemiology, Molecular Biology and Surgery, having authored 159 papers that have together received 497 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (21 papers), Viral Infections and Vectors (18 papers), SARS-CoV-2 and COVID-19 Research (15 papers), COVID-19 Clinical Research Studies (12 papers), COVID-19 epidemiological studies (12 papers), Viral Infections and Outbreaks Research (10 papers), Malaria Research and Control (7 papers) and Long-Term Effects of COVID-19 (6 papers). The work is most often cited by research in Modeling and Simulation (57 citations), Infectious Diseases (202 citations), Health Informatics (6 citations), Neurology (55 citations) and Public Health, Environmental and Occupational Health (95 citations). Beuy Joob has collaborated with scholars based in Thailand, China and India. Frequent co-authors include Viroj Wiwanitkit, Nina Ventura, Edson Marchiori, Bruno Niemeyer de Freitas Ribeiro and Emerson L. Gasparetto. Their work appears in journals such as Asian Spine Journal, Journal of Hospital Infection, European Journal of Ophthalmology, Psychiatry Research and Australian Journal of Rural 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.