Sumali Bajaj

1.2k total citations
18 papers, 273 citations indexed

About

Sumali Bajaj is a scholar working on Modeling and Simulation, Epidemiology and Infectious Diseases. According to data from OpenAlex, Sumali Bajaj has authored 18 papers receiving a total of 273 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Modeling and Simulation, 6 papers in Epidemiology and 4 papers in Infectious Diseases. Recurrent topics in Sumali Bajaj's work include COVID-19 epidemiological studies (7 papers), Influenza Virus Research Studies (4 papers) and Dementia and Cognitive Impairment Research (4 papers). Sumali Bajaj is often cited by papers focused on COVID-19 epidemiological studies (7 papers), Influenza Virus Research Studies (4 papers) and Dementia and Cognitive Impairment Research (4 papers). Sumali Bajaj collaborates with scholars based in United Kingdom, United States and Slovakia. Sumali Bajaj's co-authors include Roy M. Anderson, Kevin McRae‐McKee, Christoforos Hadjichrysanthou, Oliver G. Pybus, Moritz U. G. Kraemer, Frank de Wolf, Christopher Ruis, Verity Hill, Stephanie Evans and John Collinge and has published in prestigious journals such as Science, Nature Communications and Scientific Reports.

In The Last Decade

Sumali Bajaj

17 papers receiving 269 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sumali Bajaj United Kingdom 8 83 68 59 48 46 18 273
Michael Dulin United States 13 70 0.8× 32 0.5× 29 0.5× 27 0.6× 49 1.1× 30 530
Luis León‐Novelo United States 14 34 0.4× 34 0.5× 37 0.6× 8 0.2× 121 2.6× 47 492
Mainak Bardhan India 9 36 0.4× 6 0.1× 56 0.9× 26 0.5× 31 0.7× 67 303
Sara Valckx Belgium 9 72 0.9× 36 0.5× 22 0.4× 15 0.3× 22 0.5× 16 658
Richard Davies United Kingdom 10 152 1.8× 16 0.2× 104 1.8× 15 0.3× 42 0.9× 18 499
Keith Vrbicky United States 5 19 0.2× 40 0.6× 377 6.4× 31 0.6× 37 0.8× 7 603
Lukas Boesch Switzerland 8 23 0.3× 48 0.7× 21 0.4× 7 0.1× 39 0.8× 10 235
Amy K. Feehan United States 9 52 0.6× 7 0.1× 90 1.5× 43 0.9× 28 0.6× 16 280
Ayya Keshet Israel 5 26 0.3× 8 0.1× 55 0.9× 16 0.3× 18 0.4× 8 221
Alexander Croft United Kingdom 11 32 0.4× 23 0.3× 43 0.7× 6 0.1× 20 0.4× 23 311

Countries citing papers authored by Sumali Bajaj

Since Specialization
Citations

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

Fields of papers citing papers by Sumali Bajaj

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sumali Bajaj

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

All Works

18 of 18 papers shown
1.
Bajaj, Sumali, Robin N. Thompson, & Ben Lambert. (2025). A renewal-equation approach to estimating R t and infectious disease case counts in the presence of reporting delays. Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences. 383(2292). 20240357–20240357. 2 indexed citations
2.
Kamau, Everlyn, Junjie Chen, Sumali Bajaj, et al.. (2025). The Mathematics of Serocatalytic Models With Applications to Public Health Data. Statistics in Medicine. 44(15-17). e70188–e70188.
3.
Yang, Qiqi, W Ben, Philippe Lemey, et al.. (2024). Synchrony of Bird Migration with Global Dispersal of Avian Influenza Reveals Exposed Bird Orders. Nature Communications. 15(1). 1126–1126. 9 indexed citations
4.
Tsui, Joseph L.-H., Bernardo Gutiérrez, Louis du Plessis, et al.. (2024). COVID-19 pandemic interventions reshaped the global dispersal of seasonal influenza viruses. Science. 386(6722). eadq3003–eadq3003. 34 indexed citations
5.
Tsui, Joseph L.-H., Monika Moir, Eduan Wilkinson, et al.. (2024). Impacts of climate change-related human migration on infectious diseases. Nature Climate Change. 14(8). 793–802. 6 indexed citations
6.
Bajaj, Sumali, Joseph L.-H. Tsui, George Nicholson, et al.. (2024). COVID-19 testing and reporting behaviours in England across different sociodemographic groups: a population-based study using testing data and data from community prevalence surveillance surveys. The Lancet Digital Health. 6(11). e778–e790. 5 indexed citations
7.
Gutiérrez, Bernardo, Darlan da Silva Cândido, Sumali Bajaj, et al.. (2023). Convergent trends and spatiotemporal patterns of Aedes-borne arboviruses in Mexico and Central America. PLoS neglected tropical diseases. 17(9). e0011169–e0011169. 3 indexed citations
8.
Haw, David, Patrick Doohan, Robert A. Johnson, et al.. (2022). Optimizing social and economic activity while containing SARS-CoV-2 transmission using DAEDALUS. Nature Computational Science. 2(4). 223–233. 24 indexed citations
9.
Bajaj, Sumali, et al.. (2022). Learning transmission dynamics modelling of COVID-19 using comomodels. Mathematical Biosciences. 349. 108824–108824. 5 indexed citations
10.
Hill, Verity, Christopher Ruis, Sumali Bajaj, Oliver G. Pybus, & Moritz U. G. Kraemer. (2021). Progress and challenges in virus genomic epidemiology. Trends in Parasitology. 37(12). 1038–1049. 50 indexed citations
11.
Vegvari, Carolin, Federica Giardina, Sumali Bajaj, et al.. (2021). Deworming women of reproductive age during adolescence and pregnancy: what is the impact on morbidity from soil-transmitted helminths infection?. Parasites & Vectors. 14(1). 220–220. 1 indexed citations
12.
Giardina, Federica, Carolin Vegvari, Sumali Bajaj, et al.. (2020). Modelling the impact of COVID-19-related control programme interruptions on progress towards the WHO 2030 target for soil-transmitted helminths. Transactions of the Royal Society of Tropical Medicine and Hygiene. 115(3). 253–260. 12 indexed citations
13.
Hadjichrysanthou, Christoforos, Stephanie Evans, Sumali Bajaj, et al.. (2020). The dynamics of biomarkers across the clinical spectrum of Alzheimer’s disease. Alzheimer s Research & Therapy. 12(1). 74–74. 64 indexed citations
14.
15.
16.
Haw, David, et al.. (2020). DAEDALUS: An economic-epidemiological model to optimize economic activity while containing the SARS-CoV-2 pandemic. Spiral (Imperial College London). 1 indexed citations
17.
Bajaj, Sumali, et al.. (2019). P3‐446: A NEW BAYESIAN GROWTH CURVE MODEL FOR AD COMPOSITE SCORE (ADCOMS). Alzheimer s & Dementia. 15(7S_Part_21). 1 indexed citations
18.
McRae‐McKee, Kevin, Chinedu Udeh‐Momoh, Geraint Price, et al.. (2019). Perspective: Clinical relevance of the dichotomous classification of Alzheimer's disease biomarkers: Should there be a “gray zone”?. Alzheimer s & Dementia. 15(10). 1348–1356. 19 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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