Kate M. Bubar

1.2k total citations · 1 hit paper
8 papers, 560 citations indexed

About

Kate M. Bubar is a scholar working on Infectious Diseases, Modeling and Simulation and Health. According to data from OpenAlex, Kate M. Bubar has authored 8 papers receiving a total of 560 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Infectious Diseases, 5 papers in Modeling and Simulation and 4 papers in Health. Recurrent topics in Kate M. Bubar's work include COVID-19 epidemiological studies (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Vaccine Coverage and Hesitancy (4 papers). Kate M. Bubar is often cited by papers focused on COVID-19 epidemiological studies (5 papers), SARS-CoV-2 and COVID-19 Research (4 papers) and Vaccine Coverage and Hesitancy (4 papers). Kate M. Bubar collaborates with scholars based in United States. Kate M. Bubar's co-authors include Daniel B. Larremore, Yonatan H. Grad, Sarah Cobey, Marc Lipsitch, Stephen M. Kissler, Sam Zhang, C. Jessica E. Metcalf, Caroline O. Buckee, Bailey K. Fosdick and Peter J. Hotez and has published in prestigious journals such as Science, JAMA and Nature Communications.

In The Last Decade

Kate M. Bubar

6 papers receiving 550 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Model-informed COVID-19 vaccine prioritization strategies by age and serostatus

2021 491 citations Kate M. Bubar, Stephen M. Kissler et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Kate M. Bubar United States	5	416	369	230	90	75	8	560
Sam Moore United Kingdom	6	502 1.2×	437 1.2×	242 1.1×	73 0.8×	107 1.4×	8	695
Ruijia Sun China	9	217 0.5×	446 1.2×	98 0.4×	73 0.8×	36 0.5×	12	620
Thomas N. Vilches Canada	11	435 1.0×	498 1.3×	319 1.4×	104 1.2×	116 1.5×	33	837
Enahoro Iboi United States	11	397 1.0×	246 0.7×	91 0.4×	37 0.4×	93 1.2×	15	533
Julia Eaton United States	4	314 0.8×	253 0.7×	195 0.8×	76 0.8×	45 0.6×	12	400
Panji Fortuna Hadisoemarto Indonesia	10	134 0.3×	195 0.5×	148 0.6×	74 0.8×	57 0.8×	23	346
Miriam Casey-Bryars Ireland	6	482 1.2×	380 1.0×	44 0.2×	109 1.2×	124 1.7×	8	668
Franck Mboussou Republic of the Congo	10	133 0.3×	181 0.5×	77 0.3×	90 1.0×	35 0.5×	37	356
Soleil Shah United States	5	162 0.4×	257 0.7×	122 0.5×	28 0.3×	69 0.9×	13	439
C Sabbatini France	5	343 0.8×	178 0.5×	46 0.2×	113 1.3×	116 1.5×	7	477

Countries citing papers authored by Kate M. Bubar

Since Specialization

Citations

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

Fields of papers citing papers by Kate M. Bubar

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kate M. Bubar. 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 Kate M. Bubar. The network helps show where Kate M. Bubar may publish in the future.

Co-authorship network of co-authors of Kate M. Bubar

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

All Works

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8 of 8 papers shown

1.

Bubar, Kate M., et al.. (2026). Trends in County-Level Childhood Vaccination Exemptions in the US. JAMA. 335(6). 546–546. 2 indexed citations

2.

Bubar, Kate M., et al.. (2026). Interplay of Immunity, Climate, and Viral Evolution Explains Semiannual SARS-CoV-2 Dynamics with Implications for Control. medRxiv.

3.

Bubar, Kate M., et al.. (2025). A fundamental limit to the effectiveness of traveller screening with molecular tests. Epidemiology and Infection. 153. e95–e95.

4.

Kiang, Mathew V., Kate M. Bubar, Yvonne Maldonado, Peter J. Hotez, & Nathan C. Lo. (2025). Modeling Reemergence of Vaccine-Eliminated Infectious Diseases Under Declining Vaccination in the US. JAMA. 333(24). 2176–2176. 9 indexed citations

5.

Bubar, Kate M., et al.. (2022). SARS-CoV-2 transmission and impacts of unvaccinated-only screening in populations of mixed vaccination status. Nature Communications. 13(1). 2777–2777. 10 indexed citations

6.

Larremore, Daniel B., Bailey K. Fosdick, Kate M. Bubar, et al.. (2021). Estimating SARS-CoV-2 seroprevalence and epidemiological parameters with uncertainty from serological surveys. eLife. 10. 41 indexed citations

7.

Bubar, Kate M., Stephen M. Kissler, Marc Lipsitch, et al.. (2021). Model-informed COVID-19 vaccine prioritization strategies by age and serostatus. Science. 371(6532). 916–921. 491 indexed citations breakdown →

8.

Larremore, Daniel B., Kate M. Bubar, & Yonatan H. Grad. (2020). Implications of Test Characteristics and Population Seroprevalence on “Immune Passport” Strategies. Clinical Infectious Diseases. 72(9). e412–e414. 7 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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