Kiira Ratia
Impact in
- Infectious Diseases top 0.5%
- SARS-CoV-2 and COVID-19 Research
- COVID-19 Clinical Research Studies
- Viral gastroenteritis research and epidemiology
- Computational Theory and Mathematics top 0.5%
- Computational Drug Discovery Methods
Papers in
-
- Ubiquitin and proteasome pathways 5
- vaccines and immunoinformatics approaches 5
-
- SARS-CoV-2 and COVID-19 Research 11
- Co-authors
- Andrew D. Mesecar (15 shared papers)Susan C. Baker (12 shared papers)Naina Barretto (3 shared papers)Zhongbin Chen (4 shared papers)Arun K. Ghosh (6 shared papers)Bernard D. Santarsiero (3 shared papers)Dalia Jukneliene (2 shared papers)Michael E. Johnson (6 shared papers)
- Journals
- Journal of Medicinal Chemistry (10 papers)Journal of Virology (5 papers)Proceedings of the National Academy of Sciences (3 papers)ACS Medicinal Chemistry Letters (3 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesChinaCzechia
In The Last Decade
Kiira Ratia
41 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 105
- Infectious Diseases 1.7k
- Computational Theory and Mathematics 821
- Geriatrics and Gerontology 120
- Animal Science and Zoology 377
- Immunology 684
Countries citing papers authored by Kiira Ratia
This map shows the geographic impact of Kiira Ratia'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 Kiira Ratia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kiira Ratia more than expected).
Fields of papers citing papers by Kiira Ratia
This network shows the impact of papers produced by Kiira Ratia. 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 Kiira Ratia. The network helps show where Kiira Ratia may publish in the future.
Co-authors
The 25 scholars most cited alongside Kiira Ratia, 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 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 433 | |
| 2 | 2008 | 371 | |
| 3 | 2006 | 335 | |
| 4 | 2009 | 295 | |
| 5 | 2010 | 257 | |
| 6 | 2014 | 174 | |
| 7 | 2010 | 149 | |
| 8 | 2007 | 147 | |
| 9 | 2021 | 134 | |
| 10 | 2010 | 125 | |
| 11 | 2009 | 109 | |
| 12 | 2005 | 108 | |
| 13 | 2014 | 89 | |
| 14 | 2007 | 85 | |
| 15 | 2007 | 82 | |
| 16 | 2009 | 73 | |
| 17 | 2019 | 44 | |
| 18 | 2013 | 40 | |
| 19 | 2022 | 35 | |
| 20 | 2020 | 31 |
About Kiira Ratia
Kiira Ratia is a scholar working on Molecular Biology, Infectious Diseases, Oncology, Geriatrics and Gerontology and Computational Theory and Mathematics, having authored 42 papers that have together received 3.4k indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (11 papers), Ubiquitin and proteasome pathways (5 papers), interferon and immune responses (5 papers), Computational Drug Discovery Methods (5 papers), Sirtuins and Resveratrol in Medicine (5 papers), vaccines and immunoinformatics approaches (5 papers), Endoplasmic Reticulum Stress and Disease (4 papers) and Calcium signaling and nucleotide metabolism (3 papers). The work is most often cited by research in Infectious Diseases (1.7k citations), Computational Theory and Mathematics (821 citations), Geriatrics and Gerontology (120 citations), Animal Science and Zoology (377 citations) and Immunology (684 citations). Kiira Ratia has collaborated with scholars based in United States, China and Czechia. Frequent co-authors include Andrew D. Mesecar, Susan C. Baker, Naina Barretto, Zhongbin Chen, Arun K. Ghosh, Bernard D. Santarsiero, Dalia Jukneliene, Michael E. Johnson, Jun Takayama and Robert E. Johnston. Their work appears in journals such as Journal of Medicinal Chemistry, Journal of Virology, Proceedings of the National Academy of Sciences, ACS Medicinal Chemistry Letters 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.