Prashanth Selvaraj

1.9k total citations
30 papers, 482 citations indexed

About

Prashanth Selvaraj is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Infectious Diseases. According to data from OpenAlex, Prashanth Selvaraj has authored 30 papers receiving a total of 482 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Public Health, Environmental and Occupational Health, 6 papers in Modeling and Simulation and 5 papers in Infectious Diseases. Recurrent topics in Prashanth Selvaraj's work include Malaria Research and Control (16 papers), Mosquito-borne diseases and control (15 papers) and COVID-19 epidemiological studies (6 papers). Prashanth Selvaraj is often cited by papers focused on Malaria Research and Control (16 papers), Mosquito-borne diseases and control (15 papers) and COVID-19 epidemiological studies (6 papers). Prashanth Selvaraj collaborates with scholars based in United States, United Kingdom and Tanzania. Prashanth Selvaraj's co-authors include Edward A. Wenger, Jaline Gerardin, Andrew J. Szeri, Brittany Hagedorn, Nikolai Windbichler, Jamie Sleigh, Heidi E. Kirsch, Halfan S. Ngowo, Caitlin Bever and Fredros O. Okumu and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Prashanth Selvaraj

27 papers receiving 475 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Prashanth Selvaraj United States 12 195 87 84 70 51 30 482
Zhuanzhuan Liu China 14 238 1.2× 155 1.8× 116 1.4× 36 0.5× 15 0.3× 27 489
Sean L. Wu United States 12 165 0.8× 196 2.3× 188 2.2× 206 2.9× 20 0.4× 24 666
Mallory Harris United States 8 117 0.6× 108 1.2× 36 0.4× 89 1.3× 8 0.2× 16 362
Patrick Irwin United States 11 151 0.8× 88 1.0× 48 0.6× 22 0.3× 6 0.1× 28 286
Jae Sun Park South Korea 13 123 0.6× 289 3.3× 106 1.3× 22 0.3× 79 1.5× 30 650
Dang Nguyen United States 15 232 1.2× 39 0.4× 120 1.4× 151 2.2× 58 1.1× 67 679
Xiaotian Wu China 11 177 0.9× 236 2.7× 55 0.7× 29 0.4× 18 0.4× 34 531
Abhinav Sinha India 14 433 2.2× 83 1.0× 211 2.5× 23 0.3× 7 0.1× 38 697
Laura C. Streichert United States 12 91 0.5× 37 0.4× 112 1.3× 27 0.4× 5 0.1× 28 556
Thushara Galbadage United States 10 31 0.2× 132 1.5× 73 0.9× 48 0.7× 32 0.6× 19 443

Countries citing papers authored by Prashanth Selvaraj

Since Specialization
Citations

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

Fields of papers citing papers by Prashanth Selvaraj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prashanth Selvaraj

This figure shows the co-authorship network connecting the top 25 collaborators of Prashanth Selvaraj. A scholar is included among the top collaborators of Prashanth Selvaraj 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 Prashanth Selvaraj. Prashanth Selvaraj 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
2.
Anirudh, Rushil, et al.. (2025). Multitask deep learning for the emulation and calibration of an agent-based malaria transmission model. PLoS Computational Biology. 21(7). e1013330–e1013330.
3.
Verkuijl, Sebald A. N., Pei‐Shi Yen, Prashanth Selvaraj, et al.. (2025). A suppression-modification gene drive for malaria control targeting the ultra-conserved RNA gene mir-184. Nature Communications. 16(1). 3923–3923. 2 indexed citations
4.
Msugupakulya, Betwel J., et al.. (2024). Influence of larval growth and habitat shading on retreatment frequencies of biolarvicides against malaria vectors. Scientific Reports. 14(1). 1002–1002. 5 indexed citations
5.
Mwanga, Emmanuel P., Doreen J. Siria, Mario González‐Jiménez, et al.. (2023). Using transfer learning and dimensionality reduction techniques to improve generalisability of machine-learning predictions of mosquito ages from mid-infrared spectra. BMC Bioinformatics. 24(1). 11–11. 9 indexed citations
6.
Msugupakulya, Betwel J., et al.. (2023). Changes in contributions of different Anopheles vector species to malaria transmission in east and southern Africa from 2000 to 2022. Parasites & Vectors. 16(1). 408–408. 25 indexed citations
7.
Lee, Ming‐Chieh, Prashanth Selvaraj, Teshome Degefa, et al.. (2023). Investigating the Impact of Irrigation on Malaria Vector Larval Habitats and Transmission Using a Hydrology‐Based Model. GeoHealth. 7(12). e2023GH000868–e2023GH000868. 2 indexed citations
8.
Hoermann, Astrid, et al.. (2022). Gene drive mosquitoes can aid malaria elimination by retarding Plasmodium sporogonic development. Science Advances. 8(38). eabo1733–eabo1733. 40 indexed citations
9.
Borgemeister, Christian, et al.. (2021). Modeling impact and cost‐effectiveness of driving‐Y gene drives for malaria elimination in the Democratic Republic of the Congo. Evolutionary Applications. 15(1). 132–148. 9 indexed citations
10.
Skrip, Laura, Prashanth Selvaraj, Brittany Hagedorn, et al.. (2021). Seeding COVID-19 across Sub-Saharan Africa: An Analysis of Reported Importation Events across 49 Countries. American Journal of Tropical Medicine and Hygiene. 104(5). 1694–1702. 10 indexed citations
11.
Sh, Lee, Park Sy, Park Jh, et al.. (2020). Intensive Care Unit Capacity and Its Associated Risk Factors During the COVID-19 Surge in the Republic of Korea: Analysis Using Nationwide Health Claims Data. SHILAP Revista de lepidopterología.
12.
Lee, Seung Heon, So-Youn Park, Jong-Hak Park, et al.. (2020). <p>Intensive Care Unit Capacity and Its Associated Risk Factors During the COVID-19 Surge in the Republic of Korea: Analysis Using Nationwide Health Claims Data</p>. Risk Management and Healthcare Policy. Volume 13. 2571–2581. 3 indexed citations
13.
Selvaraj, Prashanth, Edward A. Wenger, Nikolai Windbichler, et al.. (2020). Vector genetics, insecticide resistance and gene drives: An agent-based modeling approach to evaluate malaria transmission and elimination. PLoS Computational Biology. 16(8). e1008121–e1008121. 18 indexed citations
14.
Collins, Katharine A., Alphonse Ouédraogo, Wamdaogo M. Guelbéogo, et al.. (2019). Investigating the impact of enhanced community case management and monthly screening and treatment on the transmissibility of malaria infections in Burkina Faso: study protocol for a cluster-randomised trial. BMJ Open. 9(9). e030598–e030598. 7 indexed citations
15.
Selvaraj, Prashanth, et al.. (2019). Reducing malaria burden and accelerating elimination with long-lasting systemic insecticides: a modelling study of three potential use cases. Malaria Journal. 18(1). 307–307. 8 indexed citations
16.
Mwanga, Emmanuel P., Salum A. Mapua, Doreen J. Siria, et al.. (2019). Using mid-infrared spectroscopy and supervised machine-learning to identify vertebrate blood meals in the malaria vector, Anopheles arabiensis. Malaria Journal. 18(1). 187–187. 29 indexed citations
17.
Selvaraj, Prashanth, Edward A. Wenger, & Jaline Gerardin. (2018). Seasonality and heterogeneity of malaria transmission determine success of interventions in high-endemic settings: a modeling study. BMC Infectious Diseases. 18(1). 413–413. 40 indexed citations
18.
Selvaraj, Prashanth, Jamie Sleigh, Heidi E. Kirsch, & Andrew J. Szeri. (2016). Closed-loop feedback control and bifurcation analysis of epileptiform activity via optogenetic stimulation in a mathematical model of human cortex. Physical review. E. 93(1). 12416–12416. 17 indexed citations
19.
Selvaraj, Prashanth, Jamie Sleigh, Heidi E. Kirsch, & Andrew J. Szeri. (2015). Optogenetic induced epileptiform activity in a model human cortex. SpringerPlus. 4(1). 155–155. 2 indexed citations
20.
Selvaraj, Prashanth, Jamie Sleigh, Walter J. Freeman, Heidi E. Kirsch, & Andrew J. Szeri. (2013). Open loop optogenetic control of simulated cortical epileptiform activity. Journal of Computational Neuroscience. 36(3). 515–525. 21 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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