Rahul Subramanian

638 total citations
4 papers, 270 citations indexed

About

Rahul Subramanian is a scholar working on Epidemiology, Modeling and Simulation and Infectious Diseases. According to data from OpenAlex, Rahul Subramanian has authored 4 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Epidemiology, 3 papers in Modeling and Simulation and 1 paper in Infectious Diseases. Recurrent topics in Rahul Subramanian's work include COVID-19 epidemiological studies (3 papers), Influenza Virus Research Studies (2 papers) and Respiratory viral infections research (2 papers). Rahul Subramanian is often cited by papers focused on COVID-19 epidemiological studies (3 papers), Influenza Virus Research Studies (2 papers) and Respiratory viral infections research (2 papers). Rahul Subramanian collaborates with scholars based in United States, Brazil and United Kingdom. Rahul Subramanian's co-authors include Mercedes Pascual, Qixin He, Benjamin J. Cowling, Ranawaka A. P. M. Perera, Sylvia Ranjeva, Sarah Cobey, Malik Peiris, Dkm Ip, GM Leung and Vicky J. Fang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS Computational Biology.

In The Last Decade

Rahul Subramanian

4 papers receiving 268 citations

Peers

Rahul Subramanian
Jason Asher United States
William S. Hart United Kingdom
Shane Brady United States
Rahul Subramanian
Citations per year, relative to Rahul Subramanian Rahul Subramanian (= 1×) peers Qianlai Sun

Countries citing papers authored by Rahul Subramanian

Since Specialization
Citations

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

Fields of papers citing papers by Rahul Subramanian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rahul Subramanian

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

All Works

4 of 4 papers shown
1.
Subramanian, Rahul, Qixin He, & Mercedes Pascual. (2021). Quantifying asymptomatic infection and transmission of COVID-19 in New York City using observed cases, serology, and testing capacity. Proceedings of the National Academy of Sciences. 118(9). 145 indexed citations
2.
Subramanian, Rahul, et al.. (2020). Predicting re-emergence times of dengue epidemics at low reproductive numbers: DENV1 in Rio de Janeiro, 1986–1990. Journal of The Royal Society Interface. 17(167). 20200273–20200273. 7 indexed citations
3.
Ranjeva, Sylvia, Rahul Subramanian, Vicky J. Fang, et al.. (2019). Age-specific differences in the dynamics of protective immunity to influenza. Nature Communications. 10(1). 1660–1660. 98 indexed citations
4.
Subramanian, Rahul, Andrea L. Graham, Bryan T. Grenfell, & Nimalan Arinaminpathy. (2016). Universal or Specific? A Modeling-Based Comparison of Broad-Spectrum Influenza Vaccines against Conventional, Strain-Matched Vaccines. PLoS Computational Biology. 12(12). e1005204–e1005204. 20 indexed citations

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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