Synat Keam

1.8k citations
14 papers · 1.2k · 1 hit paper · h-index 8

Impact in

Papers in

Synat Keam

12 papers receiving 1.2k citations

Synat Keam's Hit Papers

Coronavirus disease 2019 (COVID-19): A literature review 2020 · 957 citations
9570+2+4Years since publication250500750

Peers

Synat Keam
Comparison fields: 5 of 142
  • Modeling and Simulation 136
  • Infectious Diseases 425
  • General Dentistry 18
  • Neurology 156
  • Clinical Psychology 148
Replace Dewi Megawati with:
Dewi Megawati Indonesia
Fangqiang Wei China
Haypheng Te Cambodia
Fujun Peng China
Jinlyu Sun China
Zinatul Hayati Indonesia
Jing Lou China
Yongshi Yang China
Eric A. Meyerowitz United States
Ziyue Zu China
Synat Keam relative to Dewi Megawati Indonesia Dewi Megawati's profile →
Citations per field
00.5×1.5×
Dewi Megawati · 1×
Citations per year

Countries citing papers authored by Synat Keam

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Synat Keam Line = papers co-authored together Synat Keam links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1
Coronavirus disease 2019 (COVID-19): A literature review
Hit paper breakdown →
2020957
2 202073
3 202156
4 202054
5 202434
6 202132
7 202112
8 20227
9 20216
10 20253
11 20223
12 20213
13
Coronavirus disease 2019 (COVID-19): A literature review
20200
14 20220

About Synat Keam

Synat Keam is a scholar working on Infectious Diseases, Pulmonary and Respiratory Medicine, Neurology, Clinical Psychology and Oncology, 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 (4 papers), Effects of Radiation Exposure (3 papers), Long-Term Effects of COVID-19 (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), COVID-19 and Mental Health (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers) and Radiation Therapy and Dosimetry (2 papers). The work is most often cited by research in Modeling and Simulation (136 citations), Infectious Diseases (425 citations), General Dentistry (18 citations), Neurology (156 citations) and Clinical Psychology (148 citations). Synat Keam has collaborated with scholars based in Australia, United States and Indonesia. Frequent co-authors include Dewi Megawati, Harapan Harapan, Zinatul Hayati, Wira Winardi, Naoya Itoh, Haypheng Te, Mudatsir Mudatsir, Amanda Yufika, Abram L. Wagner and Alistair Cook. Their work appears in journals such as Frontiers in Oncology, Lung Cancer, Journal of Infection and Public Health, Frontiers in Immunology and Reviews in Medical Virology.

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.

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