Elizabeth Hunter

77 total papers · 982 total citations
36 papers, 600 citations indexed

About

Elizabeth Hunter is a scholar working on Modeling and Simulation, Epidemiology and Molecular Biology. According to data from OpenAlex, Elizabeth Hunter has authored 36 papers receiving a total of 600 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Modeling and Simulation, 10 papers in Epidemiology and 6 papers in Molecular Biology. Recurrent topics in Elizabeth Hunter's work include COVID-19 epidemiological studies (13 papers), Mathematical and Theoretical Epidemiology and Ecology Models (5 papers) and Influenza Virus Research Studies (4 papers). Elizabeth Hunter is often cited by papers focused on COVID-19 epidemiological studies (13 papers), Mathematical and Theoretical Epidemiology and Ecology Models (5 papers) and Influenza Virus Research Studies (4 papers). Elizabeth Hunter collaborates with scholars based in Ireland, United States and United Kingdom. Elizabeth Hunter's co-authors include John D. Kelleher, Brian Mac Namee, G P Harrison, Matthew S. Mayo, Andrew Lever, Malek Batal, A. M. L. Lever, P D Markham, Susi Varvayanis and S. Zaki Salahuddin and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Elizabeth Hunter

33 papers receiving 583 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Elizabeth Hunter	189	136	125	117	103	36	600
Tomoya Saito	70 0.4×	164 1.2×	117 0.9×	180 1.5×	184 1.8×	42	591
Kayode Oshinubi	311 1.6×	96 0.7×	200 1.6×	113 1.0×	130 1.3×	39	626
Liu Yang	210 1.1×	65 0.5×	44 0.4×	137 1.2×	140 1.4×	36	647
Valentina Costantino	199 1.1×	209 1.5×	260 2.1×	215 1.8×	158 1.5×	28	605
Jia Li	165 0.9×	177 1.3×	58 0.5×	72 0.6×	91 0.9×	35	646
Jianhong Wu	72 0.4×	186 1.4×	253 2.0×	188 1.6×	53 0.5×	48	591
Jessica M. Conway	92 0.5×	125 0.9×	312 2.5×	54 0.5×	291 2.8×	33	577
Jeehyun Lee	138 0.7×	101 0.7×	13 0.1×	213 1.8×	88 0.9×	43	560
Severino Jefferson Ribeiro da Silva	65 0.3×	88 0.6×	59 0.5×	163 1.4×	310 3.0×	23	597
Tao Chen	111 0.6×	383 2.8×	38 0.3×	52 0.4×	146 1.4×	42	622

Countries citing papers authored by Elizabeth Hunter

Since Specialization

Citations

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

Fields of papers citing papers by Elizabeth Hunter

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elizabeth Hunter

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

All Works

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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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