Synat Keam
Impact in
- Modeling and Simulation top 2%
- COVID-19 epidemiological studies
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- COVID-19 Clinical Research Studies 5
- SARS-CoV-2 and COVID-19 Research 3
-
- Occupational and environmental lung diseases 5
- Radiation Therapy and Dosimetry 3
- Co-authors
- Harapan Harapan (4 shared papers)Dewi Megawati (3 shared papers)Zinatul Hayati (2 shared papers)Mudatsir Mudatsir (3 shared papers)Abram L. Wagner (3 shared papers)Naoya Itoh (2 shared papers)Haypheng Te (2 shared papers)Amanda Yufika (3 shared papers)
- Journals
- International Journal of Radiation Oncology*Biology*Physics (1 paper)Reviews in Medical Virology (1 paper)Frontiers in Oncology (1 paper)Lung Cancer (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- AustraliaUnited StatesIndonesia
In The Last Decade
Synat Keam
12 papers receiving 1.2k citations
Synat Keam's Hit Papers
Peers
Comparison fields: 5 of 147
- Modeling and Simulation 170
- Infectious Diseases 493
- Neurology 195
- General Dentistry 20
- Clinical Psychology 200
Countries citing papers authored by Synat Keam
This map shows the geographic impact of Synat Keam'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 Synat Keam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Synat Keam more than expected).
Fields of papers citing papers by Synat Keam
This network shows the impact of papers produced by Synat Keam. 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 Synat Keam. The network helps show where Synat Keam may publish in the future.
Co-authors
The 25 scholars most cited alongside Synat Keam, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Coronavirus disease 2019 (COVID-19): A literature review Hit paper breakdown → | 2020 | 950 |
| 2 | 2020 | 72 | |
| 3 | 2021 | 56 | |
| 4 | 2020 | 52 | |
| 5 | 2021 | 32 | |
| 6 | 2024 | 27 | |
| 7 | 2021 | 12 | |
| 8 | 2022 | 7 | |
| 9 | 2021 | 6 | |
| 10 | 2022 | 3 | |
| 11 | 2025 | 2 | |
| 12 | 2021 | 2 | |
| 13 | Coronavirus disease 2019 (COVID-19): A literature review | 2020 | 0 |
| 14 | 2022 | 0 |
About Synat Keam
Synat Keam is a scholar working on Infectious Diseases, Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging, Neurology and Clinical Psychology, having authored 14 papers that have together received 1.2k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (5 papers), Occupational and environmental lung diseases (5 papers), Effects of Radiation Exposure (4 papers), Long-Term Effects of COVID-19 (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Radiation Therapy and Dosimetry (3 papers), COVID-19 and Mental Health (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). The work is most often cited by research in Modeling and Simulation (170 citations), Infectious Diseases (493 citations), Neurology (195 citations), General Dentistry (20 citations) and Clinical Psychology (200 citations). Synat Keam has collaborated with scholars based in Australia, United States and Indonesia. Frequent co-authors include Harapan Harapan, Dewi Megawati, Zinatul Hayati, Mudatsir Mudatsir, Abram L. Wagner, Naoya Itoh, Haypheng Te, Amanda Yufika, Wira Winardi and Alistair Cook. Their work appears in journals such as International Journal of Radiation Oncology*Biology*Physics, Reviews in Medical Virology, Frontiers in Oncology, Lung Cancer and Frontiers in Immunology.
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.