Ira Praharaj

3.2k citations
30 papers · 723 indexed · h-index 13
Topics
Viral gastroenteritis research and epidemiology (10 papers)SARS-CoV-2 and COVID-19 Research (4 papers)Respiratory viral infections research (4 papers)
Journals
SHILAP Revista de lepidopterologíaClinical Infectious DiseasesScientific Reports

In The Last Decade

Ira Praharaj

29 papers receiving 696 citations

Peers

Ira Praharaj
Comparison fields: 5 of 88
  • Infectious Diseases 473
  • Molecular Biology 183
  • Epidemiology 104
  • Clinical Biochemistry 91
  • Public Health, Environmental and Occupational Health 70
Replace Sharifah Faridah Syed Omar with:
Sharifah Faridah Syed Omar Malaysia
Younghee Jung South Korea
Pío López Colombia
Lok Bahadur Shrestha Nepal
Jeffrey A. Tornheim United States
Daniel Mekonnen Ethiopia
Hsiao‐Chuan Lin Taiwan
Amy V. Groom United States
Delino Nhalungo Mozambique
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Citations per field
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Citations per year

Countries citing papers authored by Ira Praharaj

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Ira Praharaj

This figure shows the co-authorship network connecting the top 25 collaborators of Ira Praharaj. A scholar is included among the top collaborators of Ira Praharaj based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ira Praharaj. Ira Praharaj is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 4
3 6
4 1
5 2
6 13
7 3
8 112
9 48
10 12
11 58
12 17
13 92
14 6
15 23
16 6
17 0
18 6
19 35
20 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) and Respiratory viral infections research (4 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.

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