Preetha Iyengar

22 total papers · 1.3k total citations
11 papers, 824 citations indexed

About

Preetha Iyengar is a scholar working on Epidemiology, Infectious Diseases and Health. According to data from OpenAlex, Preetha Iyengar has authored 11 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 6 papers in Infectious Diseases and 3 papers in Health. Recurrent topics in Preetha Iyengar's work include Influenza Virus Research Studies (4 papers), Respiratory viral infections research (3 papers) and COVID-19 epidemiological studies (2 papers). Preetha Iyengar is often cited by papers focused on Influenza Virus Research Studies (4 papers), Respiratory viral infections research (3 papers) and COVID-19 epidemiological studies (2 papers). Preetha Iyengar collaborates with scholars based in United States, South Africa and Switzerland. Preetha Iyengar's co-authors include Andrew K. Hennenfent, Gilbert Vézina, Anne J. Jääskeläinen, David A. Hill, Cheng‐Ying Ho, Fausto J. Rodríguez, Robert S. Lanciotti, Adré du Plessis, Lev Levanov and Rita W. Driggers and has published in prestigious journals such as New England Journal of Medicine, PLoS ONE and The Journal of Infectious Diseases.

In The Last Decade

Preetha Iyengar

11 papers receiving 803 citations

Hit Papers

Zika Virus Infection with... 2016 2026 2019 2022 2016 200 400 600

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Preetha Iyengar 565 550 346 119 68 11 824
Ingrid B. Rabe 575 1.0× 669 1.2× 192 0.6× 68 0.6× 64 0.9× 24 794
Dominique Eyrolle‐Guignot 600 1.1× 806 1.5× 318 0.9× 153 1.3× 121 1.8× 6 888
Janice Pérez‐Padilla 600 1.1× 708 1.3× 209 0.6× 70 0.6× 96 1.4× 30 935
Kimberly Bonner 401 0.7× 261 0.5× 187 0.5× 82 0.7× 46 0.7× 23 876
Luis Mier-y-Terán-Romero 463 0.8× 666 1.2× 172 0.5× 69 0.6× 174 2.6× 24 889
Manon Vouga 442 0.8× 592 1.1× 303 0.9× 223 1.9× 60 0.9× 34 1.0k
Luciana Silva‐Flannery 567 1.0× 561 1.0× 197 0.6× 68 0.6× 51 0.8× 24 964
Prisca Guillemette-Artur 600 1.1× 805 1.5× 311 0.9× 151 1.3× 121 1.8× 4 872
Louisi de Oliveira 540 1.0× 751 1.4× 274 0.8× 95 0.8× 77 1.1× 6 950
Daniel Singer 705 1.2× 752 1.4× 95 0.3× 100 0.8× 114 1.7× 12 1.1k

Countries citing papers authored by Preetha Iyengar

Since Specialization
Citations

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

Fields of papers citing papers by Preetha Iyengar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Preetha Iyengar

This figure shows the co-authorship network connecting the top 25 collaborators of Preetha Iyengar. A scholar is included among the top collaborators of Preetha Iyengar 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 Preetha Iyengar. Preetha Iyengar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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