Chirag K. Kumar

497 total citations · 1 hit paper
10 papers, 270 citations indexed

About

Chirag K. Kumar is a scholar working on Epidemiology, Modeling and Simulation and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Chirag K. Kumar has authored 10 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 4 papers in Modeling and Simulation and 3 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Chirag K. Kumar's work include COVID-19 epidemiological studies (4 papers), Pneumonia and Respiratory Infections (3 papers) and Neonatal and Maternal Infections (2 papers). Chirag K. Kumar is often cited by papers focused on COVID-19 epidemiological studies (4 papers), Pneumonia and Respiratory Infections (3 papers) and Neonatal and Maternal Infections (2 papers). Chirag K. Kumar collaborates with scholars based in United States, United Kingdom and Switzerland. Chirag K. Kumar's co-authors include Mike Sharland, Iruka N. Okeke, Marlieke E.A. de Kraker, Thomas P. Van Boeckel, Ana Cristina Gales, Silvia Bertagnolio, Heike Schmitt, Guillermo Podestá, K. A. Kilpatrick and Peter J. Minnett and has published in prestigious journals such as The Lancet, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Chirag K. Kumar

10 papers receiving 265 citations

Hit Papers

The scope of the antimicrobial resistance challenge 2024 2026 2025 2024 50 100 150

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chirag K. Kumar United States 5 67 52 37 33 30 10 270
Qiao Hu China 10 111 1.7× 29 0.6× 49 1.3× 44 1.3× 23 0.8× 29 298
Erkison Ewomazino Odih Nigeria 7 48 0.7× 107 2.1× 49 1.3× 24 0.7× 42 1.4× 11 228
Liam P. Burke Ireland 11 53 0.8× 132 2.5× 27 0.7× 23 0.7× 53 1.8× 26 320
Ankita Vaishampayan Germany 10 121 1.8× 42 0.8× 11 0.3× 17 0.5× 54 1.8× 14 353
Nicholas Rebold United States 7 67 1.0× 149 2.9× 83 2.2× 44 1.3× 28 0.9× 12 256
Jinju Duan China 9 78 1.2× 122 2.3× 40 1.1× 40 1.2× 18 0.6× 31 285
Sara Rahimi Iran 11 87 1.3× 168 3.2× 35 0.9× 28 0.8× 15 0.5× 44 371
Iyiola Olatunji Oladunjoye Nigeria 10 38 0.6× 22 0.4× 41 1.1× 27 0.8× 106 3.5× 35 388
Alex Perry United Kingdom 10 171 2.6× 34 0.7× 63 1.7× 48 1.5× 37 1.2× 21 462
Tala Navab-Daneshmand United States 9 53 0.8× 109 2.1× 36 1.0× 16 0.5× 41 1.4× 19 449

Countries citing papers authored by Chirag K. Kumar

Since Specialization
Citations

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

Fields of papers citing papers by Chirag K. Kumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chirag K. Kumar. 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 Chirag K. Kumar. The network helps show where Chirag K. Kumar may publish in the future.

Co-authorship network of co-authors of Chirag K. Kumar

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

All Works

10 of 10 papers shown
1.
Kalanxhi, Erta, et al.. (2026). Economic impact of a maternal Klebsiella pneumoniae vaccine: estimates for 107 low- and middle-income countries. Philosophical Transactions of the Royal Society B Biological Sciences. 381(1944). 1 indexed citations
2.
Masters, Nina B., Inga Holmdahl, Chirag K. Kumar, et al.. (2024). Real-Time Use of a Dynamic Model To Measure the Impact of Public Health Interventions on Measles Outbreak Size and Duration — Chicago, Illinois, 2024. MMWR Morbidity and Mortality Weekly Report. 73(19). 430–434. 2 indexed citations
4.
Kumar, Chirag K., et al.. (2024). Routine immunization against Streptococcus pneumoniae and Haemophilus influenzae type B and antibiotic consumption in India: a dynamic modeling analysis. SHILAP Revista de lepidopterología. 31. 100498–100498. 1 indexed citations
5.
Okeke, Iruka N., Marlieke E.A. de Kraker, Thomas P. Van Boeckel, et al.. (2024). The scope of the antimicrobial resistance challenge. The Lancet. 403(10442). 2426–2438. 179 indexed citations breakdown →
6.
McCloskey, Brian, Tomoya Saito, Satoshi Shimada, et al.. (2024). The Tokyo 2020 and Beijing 2022 Olympic Games held during the COVID-19 pandemic: planning, outcomes, and lessons learnt. The Lancet. 403(10425). 493–502. 7 indexed citations
7.
Kumar, Chirag K., Kirsty Sands, Timothy R. Walsh, et al.. (2023). Global, regional, and national estimates of the impact of a maternal Klebsiella pneumoniae vaccine: A Bayesian modeling analysis. PLoS Medicine. 20(5). e1004239–e1004239. 28 indexed citations
8.
Nguyen, Thao, Felix C. Keber, Miroslav Tomschik, et al.. (2022). Differential nuclear import sets the timing of protein access to the embryonic genome. Nature Communications. 13(1). 5887–5887. 19 indexed citations
9.
Kumar, Chirag K., Ruchita Balasubramanian, Stefano Ongarello, Sergio Carmona, & Ramanan Laxminarayan. (2022). SARS-CoV-2 testing strategies for outbreak mitigation in vaccinated populations. PLoS ONE. 17(7). e0271103–e0271103. 4 indexed citations
10.
Kumar, Chirag K., Guillermo Podestá, K. A. Kilpatrick, & Peter J. Minnett. (2021). A machine learning approach to estimating the error in satellite sea surface temperature retrievals. Remote Sensing of Environment. 255. 112227–112227. 25 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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