Soumi Sukla
Impact in
- Modeling and Simulation top 10%
- COVID-19 epidemiological studies
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- Viral Infections and Vectors
- SARS-CoV-2 and COVID-19 Research
Papers in
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- Mosquito-borne diseases and control 10
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- Viral gastroenteritis research and epidemiology 4
- Viral Infections and Vectors 4
- Viral Infections and Outbreaks Research 4
- Co-authors
- Subhajit Biswas (20 shared papers)Hugh J. Field (6 shared papers)T. K. Bhattacharya (6 shared papers)Abhishek De (6 shared papers)V. Ravichandiran (5 shared papers)Holger Zimmermann (3 shared papers)Alexander Birkmann (3 shared papers)Syamal Roy (3 shared papers)
- Journals
- Journal of Medical Microbiology (2 papers)Asian-Australasian Journal of Animal Sciences (2 papers)Journal of Medical Virology (2 papers)Antiviral Research (2 papers)Scientific Reports (2 papers)
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Soumi Sukla
35 papers receiving 408 citations
Peers
Comparison fields: 5 of 66
- Modeling and Simulation 28
- Infectious Diseases 95
- Epidemiology 154
- Public Health, Environmental and Occupational Health 122
- Virology 11
Countries citing papers authored by Soumi Sukla
This map shows the geographic impact of Soumi Sukla'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 Soumi Sukla with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Soumi Sukla more than expected).
Fields of papers citing papers by Soumi Sukla
This network shows the impact of papers produced by Soumi Sukla. 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 Soumi Sukla. The network helps show where Soumi Sukla may publish in the future.
Co-authors
The 25 scholars most cited alongside Soumi Sukla, 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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 50 | |
| 2 | 2010 | 32 | |
| 3 | 2020 | 30 | |
| 4 | 2021 | 30 | |
| 5 | 2022 | 29 | |
| 6 | 2009 | 28 | |
| 7 | 2017 | 21 | |
| 8 | 2014 | 17 | |
| 9 | 2022 | 16 | |
| 10 | 2010 | 15 | |
| 11 | 2023 | 14 | |
| 12 | 2022 | 14 | |
| 13 | 2013 | 14 | |
| 14 | 2020 | 12 | |
| 15 | 2022 | 10 | |
| 16 | 2022 | 10 | |
| 17 | 2007 | 9 | |
| 18 | 2006 | 9 | |
| 19 | 2006 | 8 | |
| 20 | 2021 | 7 |
About Soumi Sukla
Soumi Sukla is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases, Epidemiology, Genetics and Molecular Biology, having authored 35 papers that have together received 428 indexed citations. Recurring topics across this work include Mosquito-borne diseases and control (10 papers), Herpesvirus Infections and Treatments (8 papers), Viral gastroenteritis research and epidemiology (4 papers), Genetic and phenotypic traits in livestock (4 papers), Viral Infections and Vectors (4 papers), Viral Infections and Outbreaks Research (4 papers), Virus-based gene therapy research (4 papers) and COVID-19 epidemiological studies (3 papers). The work is most often cited by research in Modeling and Simulation (28 citations), Infectious Diseases (95 citations), Epidemiology (154 citations), Public Health, Environmental and Occupational Health (122 citations) and Virology (11 citations). Soumi Sukla has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Subhajit Biswas, Hugh J. Field, T. K. Bhattacharya, Abhishek De, V. Ravichandiran, Holger Zimmermann, Alexander Birkmann, Syamal Roy, Peter Lischka and Ricardo Núñez Miguel. Their work appears in journals such as Journal of Medical Microbiology, Asian-Australasian Journal of Animal Sciences, Journal of Medical Virology, Antiviral Research and Scientific Reports.
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.