Sam Moore

1.2k total citations · 1 hit paper
8 papers, 695 citations indexed

About

Sam Moore is a scholar working on Infectious Diseases, Modeling and Simulation and Health. According to data from OpenAlex, Sam Moore has authored 8 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 6 papers in Modeling and Simulation and 5 papers in Health. Recurrent topics in Sam Moore's work include SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 epidemiological studies (6 papers) and Vaccine Coverage and Hesitancy (5 papers). Sam Moore is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (6 papers), COVID-19 epidemiological studies (6 papers) and Vaccine Coverage and Hesitancy (5 papers). Sam Moore collaborates with scholars based in United Kingdom and United States. Sam Moore's co-authors include Matt J. Keeling, Edward M. Hill, Louise Dyson, Michael J. Tildesley, Tim Rogers, Katrina Lythgoe, Thomas House, Jacob Curran-Sebastian, Lorenzo Pellis and Robin N. Thompson and has published in prestigious journals such as Physical Review Letters, Nature Medicine and Nature Communications.

In The Last Decade

Sam Moore

8 papers receiving 683 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.

Vaccination and non-pharmaceutical interventions for COVID-19: a mathematical modelling study

2021 388 citations Sam Moore, Edward M. Hill et al. The Lancet Infectious Diseases profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sam Moore United Kingdom	6	502	437	242	107	97	8	695
Kate M. Bubar United States	5	416 0.8×	369 0.8×	230 1.0×	75 0.7×	50 0.5×	8	560
Cécile Tran Kiem France	11	491 1.0×	488 1.1×	105 0.4×	143 1.3×	67 0.7×	20	889
Paolo Bosetti France	12	538 1.1×	521 1.2×	109 0.5×	152 1.4×	54 0.6×	22	961
Thomas N. Vilches Canada	11	435 0.9×	498 1.1×	319 1.3×	116 1.1×	49 0.5×	33	837
Alessio Andronico France	12	468 0.9×	528 1.2×	93 0.4×	131 1.2×	83 0.9×	18	939
Kylie E. C. Ainslie United Kingdom	14	478 1.0×	530 1.2×	136 0.6×	157 1.5×	50 0.5×	35	950
Enahoro Iboi United States	11	397 0.8×	246 0.6×	91 0.4×	93 0.9×	217 2.2×	15	533
Noémie Lefrancq France	8	407 0.8×	420 1.0×	70 0.3×	127 1.2×	72 0.7×	12	808
Akhona Tshangela United States	9	276 0.5×	339 0.8×	182 0.8×	108 1.0×	48 0.5×	17	823
Miriam Casey-Bryars Ireland	6	482 1.0×	380 0.9×	44 0.2×	124 1.2×	62 0.6×	8	668

Countries citing papers authored by Sam Moore

Since Specialization

Citations

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

Fields of papers citing papers by Sam Moore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sam Moore

This figure shows the co-authorship network connecting the top 25 collaborators of Sam Moore. A scholar is included among the top collaborators of Sam Moore 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 Moore. Sam Moore 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:

8 of 8 papers shown

1.

Hill, Edward M., et al.. (2024). Prioritising older individuals for COVID-19 booster vaccination leads to optimal public health outcomes in a range of socio-economic settings. PLoS Computational Biology. 20(8). e1012309–e1012309. 4 indexed citations

2.

Moore, Sam, Edward M. Hill, Louise Dyson, Michael J. Tildesley, & Matt J. Keeling. (2022). Retrospectively modeling the effects of increased global vaccine sharing on the COVID-19 pandemic. Nature Medicine. 28(11). 2416–2423. 65 indexed citations

3.

Keeling, Matt J. & Sam Moore. (2022). An assessment of the vaccination of school-aged children in England against SARS-CoV-2. BMC Medicine. 20(1). 196–196. 9 indexed citations

4.

Moore, Sam, Edward M. Hill, Louise Dyson, Michael J. Tildesley, & Matt J. Keeling. (2021). Modelling optimal vaccination strategy for SARS-CoV-2 in the UK. PLoS Computational Biology. 17(5). e1008849–e1008849. 126 indexed citations

5.

Moore, Sam, Edward M. Hill, Michael J. Tildesley, Louise Dyson, & Matt J. Keeling. (2021). Vaccination and non-pharmaceutical interventions for COVID-19: a mathematical modelling study. The Lancet Infectious Diseases. 21(6). 793–802. 388 indexed citations breakdown →

6.

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

7.

Moore, Sam & Tim Rogers. (2020). Predicting the Speed of Epidemics Spreading in Networks. Physical Review Letters. 124(6). 68301–68301. 30 indexed citations

8.

Moore, Sam, Edward M. Hill, Michael J. Tildesley, Louise Dyson, & Matt J. Keeling. (2020). Vaccination and Non-Pharmaceutical Interventions: When Can the UK Relax About COVID-19?. SSRN Electronic Journal. 3 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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