Priti Devi

2.1k citations
23 papers · 250 · h-index 9

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • COVID-19 Clinical Research Studies
    • Viral gastroenteritis research and epidemiology
    • SARS-CoV-2 detection and testing

Papers in

Priti Devi

22 papers receiving 246 citations

Peers

Priti Devi
Comparison fields: 5 of 59
  • Infectious Diseases 113
  • Virology 11
  • Modeling and Simulation 9
  • Health 12
  • Microbiology 9
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Dawne K. Rowe United States
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Sreelekshmy Mohandas India
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Citations per field
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Citations per year

Countries citing papers authored by Priti Devi

Since Specialization
Citations

This map shows the geographic impact of Priti Devi'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 Priti Devi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Priti Devi more than expected).

Fields of papers citing papers by Priti Devi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Priti Devi. 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 Priti Devi. The network helps show where Priti Devi may publish in the future.

Co-authors

The 25 scholars most cited alongside Priti Devi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Priti Devi Line = papers co-authored together Priti Devi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202159
2 202148
3 202221
4 202216
5 202214
6 202313
7
Serological investigation of rubella virus infection in and around Chandigarh--a preliminary communication.
197411
8 202310
9 20238
10 20238
11 20246
12 20236
13 20226
14 20215
15 20235
16
A comparative study on different methods of hyperimmunization of horses for the preparation of polyvalent anti-snake venom serum.
19684
17 20223
18 20232
19 20232
20 20251

About Priti Devi

Priti Devi is a scholar working on Infectious Diseases, Molecular Biology, Immunology, Ecology and Epidemiology, having authored 23 papers that have together received 250 indexed citations. Recurring topics across this work include Gut microbiota and health (7 papers), SARS-CoV-2 and COVID-19 Research (7 papers), COVID-19 Clinical Research Studies (5 papers), Immune responses and vaccinations (2 papers), Viral Infections and Vectors (2 papers), Mosquito-borne diseases and control (2 papers), Bacteriophages and microbial interactions (2 papers) and Virology and Viral Diseases (1 paper). The work is most often cited by research in Infectious Diseases (113 citations), Virology (11 citations), Modeling and Simulation (9 citations), Health (12 citations) and Microbiology (9 citations). Priti Devi has collaborated with scholars based in India, Cameroon and South Africa. Frequent co-authors include Rajesh Pandey, Priyanka Mehta, Partha Chattopadhyay, Jayanthi Shastri, Sandeep Budhiraja, Sachin Sharma, Sachee Agrawal, Bansidhar Tarai, Nirjhar Chatterjee and Ranjeet Maurya. Their work appears in journals such as Frontiers in Microbiology, iScience, Frontiers in Medicine, Frontiers in Cellular and Infection Microbiology and PLoS Pathogens.

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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