Sam Abbott

26.1k total citations · 1 hit paper
44 papers, 944 citations indexed

About

Sam Abbott is a scholar working on Modeling and Simulation, Infectious Diseases and Epidemiology. According to data from OpenAlex, Sam Abbott has authored 44 papers receiving a total of 944 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Modeling and Simulation, 13 papers in Infectious Diseases and 13 papers in Epidemiology. Recurrent topics in Sam Abbott's work include COVID-19 epidemiological studies (26 papers), Influenza Virus Research Studies (8 papers) and Data-Driven Disease Surveillance (7 papers). Sam Abbott is often cited by papers focused on COVID-19 epidemiological studies (26 papers), Influenza Virus Research Studies (8 papers) and Data-Driven Disease Surveillance (7 papers). Sam Abbott collaborates with scholars based in United Kingdom, United States and Germany. Sam Abbott's co-authors include Sebastian Funk, W. John Edmunds, Ruwan Ratnayake, Kevin van Zandvoort, Stefan Flasche, Joel Hellewell, Rosalind M. Eggo, Adam J. Kucharski, Timothy Russell and Akira Endo and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

In The Last Decade

Sam Abbott

42 papers receiving 923 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.

Heavy-tailed sexual contact networks and monkeypox epidemiology in the global outbreak, 2022

2022 112 citations Akira Endo, Sam Abbott 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
Sam Abbott United Kingdom	13	517	430	258	162	127	44	944
Ganna Rozhnova Netherlands	14	565 1.1×	435 1.0×	277 1.1×	119 0.7×	126 1.0×	40	1.1k
Junjie Zai China	8	261 0.5×	965 2.2×	93 0.4×	111 0.7×	63 0.5×	11	1.3k
Valentina Marziano Italy	15	483 0.9×	436 1.0×	210 0.8×	40 0.2×	102 0.8×	36	903
Naif Khalaf Alharbi Saudi Arabia	16	145 0.3×	500 1.2×	144 0.6×	68 0.4×	81 0.6×	61	1.0k
Ana I. Bento United States	17	301 0.6×	361 0.8×	190 0.7×	100 0.6×	128 1.0×	33	961
Zachary J. Madewell United States	11	487 0.9×	592 1.4×	171 0.7×	120 0.7×	59 0.5×	51	995
Angela L. Rasmussen United States	20	198 0.4×	1.2k 2.7×	246 1.0×	159 1.0×	39 0.3×	40	1.8k
Changcheng Wu China	9	166 0.3×	883 2.1×	176 0.7×	71 0.4×	37 0.3×	22	1.4k
Tiffany Leung United States	8	458 0.9×	327 0.8×	157 0.6×	68 0.4×	117 0.9×	10	810
Sibylle Bernard-Stoecklin France	10	158 0.3×	251 0.6×	160 0.6×	37 0.2×	43 0.3×	15	740

Countries citing papers authored by Sam Abbott

Since Specialization

Citations

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

Fields of papers citing papers by Sam Abbott

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sam Abbott

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Charniga, Kelly, Sang Woo Park, Andrei R. Akhmetzhanov, et al.. (2024). Best practices for estimating and reporting epidemiological delay distributions of infectious diseases. PLoS Computational Biology. 20(10). e1012520–e1012520. 9 indexed citations

Park, Sang Woo, Kaiyuan Sun, Sam Abbott, et al.. (2023). Inferring the differences in incubation-period and generation-interval distributions of the Delta and Omicron variants of SARS-CoV-2. Proceedings of the National Academy of Sciences. 120(22). e2221887120–e2221887120. 22 indexed citations

Wolffram, Daniel, Sam Abbott, Matthias an der Heiden, et al.. (2023). Collaborative nowcasting of COVID-19 hospitalization incidences in Germany. PLoS Computational Biology. 19(8). e1011394–e1011394. 10 indexed citations

Overton, Christopher E., Sam Abbott, Rachel Christie, et al.. (2023). Nowcasting the 2022 mpox outbreak in England. PLoS Computational Biology. 19(9). e1011463–e1011463. 11 indexed citations

Wolffram, Daniel, Tanja Stadler, Michael Osthege, et al.. (2023). Why are different estimates of the effective reproductive number so different? A case study on COVID-19 in Germany. PLoS Computational Biology. 19(11). e1011653–e1011653. 6 indexed citations

Bosse, Nikos I, et al.. (2023). Scoring epidemiological forecasts on transformed scales. PLoS Computational Biology. 19(8). e1011393–e1011393. 11 indexed citations

Gibbs, Hamish, Yang Liu, Sam Abbott, et al.. (2022). Association between mobility, non-pharmaceutical interventions, and COVID-19 transmission in Ghana: A modelling study using mobile phone data. SHILAP Revista de lepidopterología. 2(9). e0000502–e0000502. 7 indexed citations

Endo, Akira, Sam Abbott, Ruwan Ratnayake, et al.. (2022). Heavy-tailed sexual contact networks and monkeypox epidemiology in the global outbreak, 2022. Science. 378(6615). 90–94. 112 indexed citations breakdown →

McAndrew, Thomas, Maimuna S. Majumder, Andrew A. Lover, et al.. (2022). Early human judgment forecasts of human monkeypox, May 2022. The Lancet Digital Health. 4(8). e569–e571. 11 indexed citations

10.

Sherratt, Katharine, et al.. (2021). covidregionaldata: Subnational data for COVID-19 epidemiology. The Journal of Open Source Software. 6(63). 3290–3290. 4 indexed citations

11.

Zandvoort, Kevin van, Sam Abbott, Katharine Sherratt, et al.. (2021). The impact of population-wide rapid antigen testing on SARS-CoV-2 prevalence in Slovakia. Science. 372(6542). 635–641. 110 indexed citations

12.

Vegvari, Carolin, Sam Abbott, Frank Ball, et al.. (2021). Commentary on the use of the reproduction number R during the COVID-19 pandemic. Statistical Methods in Medical Research. 31(9). 1675–1685. 25 indexed citations

13.

Funk, Sebastian, Sam Abbott, & Adam J. Kucharski. (2021). Estimating the increase in reproduction number associated with the Delta variant using local area dynamics in England. medRxiv. 1 indexed citations

14.

Sherratt, Katharine, Sam Abbott, Sophie Meakin, et al.. (2021). Exploring surveillance data biases when estimating the reproduction number: with insights into subpopulation transmission of COVID-19 in England. Philosophical Transactions of the Royal Society B Biological Sciences. 376(1829). 20200283–20200283. 27 indexed citations

15.

Jit, Mark, Thibaut Jombart, Emily Nightingale, et al.. (2020). Estimating number of cases and spread of coronavirus disease (COVID-19) using critical care admissions, United Kingdom, February to March 2020. Eurosurveillance. 25(18). 19 indexed citations

16.

Price, David J., Freya M. Shearer, Michael T. Meehan, et al.. (2020). Early analysis of the Australian COVID-19 epidemic. eLife. 9. 48 indexed citations

17.

Abbott, Sam, et al.. (2020). epiforecasts/EpiNow2: CRAN Release. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations

18.

Abbott, Sam, Hannah Christensen, Nicky J. Welton, & Ellen Brooks‐Pollock. (2019). Estimating the effect of the 2005 change in BCG policy in England: a retrospective cohort study, 2000 to 2015. Eurosurveillance. 24(49). 2 indexed citations

19.

Hall, Ian, et al.. (2017). A systematic review and meta-analysis on the incubation period of Campylobacteriosis. Epidemiology and Infection. 145(11). 2241–2253. 15 indexed citations

20.

Abbott, Sam, et al.. (1990). Common source outbreak of relapsing fever: California.. MMWR Morbidity and Mortality Weekly Report. 39(34). 579–586. 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.

Explore authors with similar magnitude of impact