Ira Praharaj
- Infectious Diseases top 5%
- Viral gastroenteritis research and epidemiology 10
- SARS-CoV-2 and COVID-19 Research 4
- COVID-19 Clinical Research Studies 4
- SARS-CoV-2 detection and testing 4
- Antimicrobial Resistance in Staphylococcus 4
- Clinical Biochemistry top 5%
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies 3
- Hepatology top 10%
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- Respiratory viral infections research 4
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- Viral Infections and Immunology Research 4
- Co-authors
- Gagandeep KangNicholas C. GrasslyJacob JohnSubhash Chandra ParijaBeate KampmannSC ParijaEdward P K ParkerSidhartha Giri
- Journals
- SHILAP Revista de lepidopterología (1 paper)Clinical Infectious Diseases (1 paper)Scientific Reports (1 paper)
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Ira Praharaj
29 papers receiving 696 citations
Peers
Comparison fields: 5 of 88
- Infectious Diseases 473
- Clinical Biochemistry 91
- Modeling and Simulation 43
- Applied Microbiology and Biotechnology 17
- Hepatology 52
Countries citing papers authored by Ira Praharaj
This map shows the geographic impact of Ira Praharaj'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 Ira Praharaj with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ira Praharaj more than expected).
Fields of papers citing papers by Ira Praharaj
This network shows the impact of papers produced by Ira Praharaj. 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 Ira Praharaj. The network helps show where Ira Praharaj may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ira Praharaj, 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 | 2024 | 5 | |
| 2 | 2023 | 4 | |
| 3 | 2023 | 6 | |
| 4 | 2023 | 1 | |
| 5 | 2022 | 2 | |
| 6 | 2021 | 13 | |
| 7 | 2020 | 3 | |
| 8 | 2020 | 112 | |
| 9 | 2020 | 48 | |
| 10 | 2017 | 12 | |
| 11 | 2017 | 58 | |
| 12 | 2017 | 17 | |
| 13 | 2017 | 92 | |
| 14 | 2016 | 6 | |
| 15 | 2013 | 23 | |
| 16 | 2013 | 6 | |
| 17 | 2013 | 0 | |
| 18 | 2012 | 6 | |
| 19 | 2011 | 35 | |
| 20 | 2010 | 6 |
About Ira Praharaj
Ira Praharaj is a scholar working on Microbiology, Infectious Diseases and Modeling and Simulation, having authored 30 papers that have together received 723 indexed citations. Recurring topics across this work include Viral gastroenteritis research and epidemiology (10 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Respiratory viral infections research (4 papers), COVID-19 Clinical Research Studies (4 papers), SARS-CoV-2 detection and testing (4 papers), Antimicrobial Resistance in Staphylococcus (4 papers), Viral Infections and Immunology Research (4 papers) and COVID-19 epidemiological studies (3 papers). The work is most often cited by research in Infectious Diseases (473 citations), Clinical Biochemistry (91 citations) and Modeling and Simulation (43 citations). Ira Praharaj has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Gagandeep Kang, Nicholas C. Grassly, Jacob John, Subhash Chandra Parija, Beate Kampmann, SC Parija, Edward P K Parker, Sidhartha Giri, Balram Bhargava and Saravanakumar Puthupalayam Kaliappan. Their work appears in journals such as SHILAP Revista de lepidopterología, Clinical Infectious Diseases 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.