Darmaa Badarch
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
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- Respiratory viral infections research
- Pneumonia and Respiratory Infections
- Influenza Virus Research Studies
Papers in
-
- Respiratory viral infections research 4
- Influenza Virus Research Studies 2
- Virology and Viral Diseases 1
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- Viral Infections and Outbreaks Research 1
- COVID-19 Clinical Research Studies 1
- Co-authors
- Chimedsuren Оchir (2 shared papers)Ryenchindorj Erkhembayar (2 shared papers)G. Neil Thomas (2 shared papers)E. M. Dickinson (2 shared papers)David Warburton (1 shared paper)Semira Manaseki‐Holland (2 shared papers)Ian Barr (1 shared paper)Vivian Leung (1 shared paper)
- Journals
- Influenza and Other Respiratory Viruses (2 papers)PLoS ONE (1 paper)The Lancet Global Health (1 paper)The Journal of Infectious Diseases (1 paper)IJID Regions (1 paper)
- Partner nations
- MongoliaUnited KingdomAustralia
In The Last Decade
Darmaa Badarch
6 papers receiving 167 citations
Peers
Comparison fields: 5 of 50
- Modeling and Simulation 28
- Epidemiology 97
- Infectious Diseases 44
- Health 12
- Pulmonary and Respiratory Medicine 22
Countries citing papers authored by Darmaa Badarch
This map shows the geographic impact of Darmaa Badarch'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 Darmaa Badarch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darmaa Badarch more than expected).
Fields of papers citing papers by Darmaa Badarch
This network shows the impact of papers produced by Darmaa Badarch. 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 Darmaa Badarch. The network helps show where Darmaa Badarch may publish in the future.
Co-authors
The 25 scholars most cited alongside Darmaa Badarch, 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 | 2020 | 83 | |
| 2 | 2020 | 56 | |
| 3 | 2019 | 20 | |
| 4 | 2018 | 8 | |
| 5 | 2024 | 6 | |
| 6 | Early policy actions and emergency response to the COVID-19 pandemic in Mongolia: experiences and challenges | 2020 | 1 |
| 7 | 2023 | 0 | |
| 8 | 2024 | 0 |
About Darmaa Badarch
Darmaa Badarch is a scholar working on Epidemiology, Infectious Diseases, Immunology, Economics and Econometrics and Modeling and Simulation, having authored 8 papers that have together received 174 indexed citations. Recurring topics across this work include Respiratory viral infections research (4 papers), Influenza Virus Research Studies (2 papers), Viral Infections and Outbreaks Research (1 paper), COVID-19 Clinical Research Studies (1 paper), Virology and Viral Diseases (1 paper), COVID-19 epidemiological studies (1 paper), COVID-19 Pandemic Impacts (1 paper) and Economic Sanctions and International Relations (1 paper). The work is most often cited by research in Modeling and Simulation (28 citations), Epidemiology (97 citations), Infectious Diseases (44 citations), Health (12 citations) and Pulmonary and Respiratory Medicine (22 citations). Darmaa Badarch has collaborated with scholars based in Mongolia, United Kingdom and Australia. Frequent co-authors include Chimedsuren Оchir, Ryenchindorj Erkhembayar, G. Neil Thomas, E. M. Dickinson, David Warburton, Semira Manaseki‐Holland, Ian Barr, Vivian Leung, Mandeep Chadha and Malinee Chittaganpitch. Their work appears in journals such as Influenza and Other Respiratory Viruses, PLoS ONE, The Lancet Global Health, The Journal of Infectious Diseases and IJID Regions.
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.