Jacob Curran-Sebastian

527 total citations
8 papers, 170 citations indexed

About

Jacob Curran-Sebastian is a scholar working on Modeling and Simulation, Infectious Diseases and Epidemiology. According to data from OpenAlex, Jacob Curran-Sebastian has authored 8 papers receiving a total of 170 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Modeling and Simulation, 4 papers in Infectious Diseases and 3 papers in Epidemiology. Recurrent topics in Jacob Curran-Sebastian's work include COVID-19 epidemiological studies (7 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Viral Infections and Outbreaks Research (2 papers). Jacob Curran-Sebastian is often cited by papers focused on COVID-19 epidemiological studies (7 papers), SARS-CoV-2 and COVID-19 Research (2 papers) and Viral Infections and Outbreaks Research (2 papers). Jacob Curran-Sebastian collaborates with scholars based in United Kingdom and Denmark. Jacob Curran-Sebastian's co-authors include Lorenzo Pellis, Thomas House, Michael J. Tildesley, Matt J. Keeling, Louise Dyson, Katrina Lythgoe, Sam Moore, Edward M. Hill, Arkadiusz Wiśniowski and Diego Andrés Pérez Ruiz and has published in prestigious journals such as Nature Communications, Scientific Reports and Journal of Theoretical Biology.

In The Last Decade

Jacob Curran-Sebastian

5 papers receiving 167 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jacob Curran-Sebastian United Kingdom	4	98	73	31	31	17	8	170
Graham R. Northrup United States	4	99 1.0×	80 1.1×	41 1.3×	22 0.7×	10 0.6×	6	169
Katelynn Devinney United States	5	78 0.8×	51 0.7×	65 2.1×	33 1.1×	25 1.5×	9	213
Rachel Pieciak United States	5	81 0.8×	62 0.8×	25 0.8×	49 1.6×	19 1.1×	14	166
Cynthia Tamandjou South Africa	9	109 1.1×	29 0.4×	18 0.6×	71 2.3×	31 1.8×	18	227
Zirui Guo China	5	163 1.7×	102 1.4×	17 0.5×	53 1.7×	14 0.8×	10	256
Jieun Kim South Korea	6	79 0.8×	53 0.7×	14 0.5×	26 0.8×	18 1.1×	23	148
Emma S. Garlock Canada	2	116 1.2×	137 1.9×	15 0.5×	32 1.0×	9 0.5×	4	198
Rotem Lapidot United States	6	77 0.8×	61 0.8×	25 0.8×	121 3.9×	25 1.5×	17	240
Senga Sembuche Ethiopia	3	136 1.4×	104 1.4×	30 1.0×	23 0.7×	39 2.3×	9	247
Mara D. Kont United Kingdom	9	140 1.4×	56 0.8×	60 1.9×	30 1.0×	10 0.6×	13	280

Countries citing papers authored by Jacob Curran-Sebastian

Since Specialization

Citations

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

Fields of papers citing papers by Jacob Curran-Sebastian

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacob Curran-Sebastian. 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 Jacob Curran-Sebastian. The network helps show where Jacob Curran-Sebastian may publish in the future.

Co-authorship network of co-authors of Jacob Curran-Sebastian

This figure shows the co-authorship network connecting the top 25 collaborators of Jacob Curran-Sebastian. A scholar is included among the top collaborators of Jacob Curran-Sebastian 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 Jacob Curran-Sebastian. Jacob Curran-Sebastian 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

Curran-Sebastian, Jacob, et al.. (2026). Transmission Networks and Intervention Effects From SARS-CoV-2 Genomic and Social Network Data in Denmark. medRxiv.

Curran-Sebastian, Jacob, Louise Dyson, Edward M. Hill, et al.. (2025). Probability of extinction and peak time for multi-type epidemics with application to COVID-19 variants of concern. Journal of Theoretical Biology. 608. 112135–112135.

Khurana, Mark P., Jacob Curran-Sebastian, Samir Bhatt, & Gwenan M. Knight. (2024). Modelling the implementation of narrow versus broader spectrum antibiotics in the empiric treatment of E. coli bacteraemia. Scientific Reports. 14(1). 16986–16986. 1 indexed citations

Curran-Sebastian, Jacob, et al.. (2024). Modelling the stochastic importation dynamics and establishment of novel pathogenic strains using a general branching processes framework. Mathematical Biosciences. 380. 109352–109352.

Curran-Sebastian, Jacob, Lorenzo Pellis, Ian Hall, & Thomas House. (2024). Calculation of Epidemic First Passage and Peak Time Probability Distributions. SIAM/ASA Journal on Uncertainty Quantification. 12(2). 242–261. 3 indexed citations

Pellis, Lorenzo, et al.. (2021). Insights gained from early modelling of COVID-19 to inform the management of outbreaks in UK prisons. International Journal of Prisoner Health. 17(3). 380–397. 4 indexed citations

Overton, Christopher E., Arkadiusz Wiśniowski, Shazaad Ahmad, et al.. (2021). Hospital length of stay for COVID-19 patients: Data-driven methods for forward planning. BMC Infectious Diseases. 21(1). 700–700. 92 indexed citations

Dyson, Louise, Edward M. Hill, Sam Moore, et al.. (2021). Possible future waves of SARS-CoV-2 infection generated by variants of concern with a range of characteristics. Nature Communications. 12(1). 5730–5730. 70 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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