Jimmy Twin

49 total papers · 1.6k total citations
24 papers, 901 citations indexed

About

Jimmy Twin is a scholar working on Microbiology, Epidemiology and Hematology. According to data from OpenAlex, Jimmy Twin has authored 24 papers receiving a total of 901 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Microbiology, 8 papers in Epidemiology and 7 papers in Hematology. Recurrent topics in Jimmy Twin's work include Reproductive tract infections research (21 papers), Blood groups and transfusion (7 papers) and Urinary Tract Infections Management (6 papers). Jimmy Twin is often cited by papers focused on Reproductive tract infections research (21 papers), Blood groups and transfusion (7 papers) and Urinary Tract Infections Management (6 papers). Jimmy Twin collaborates with scholars based in Australia, Denmark and Canada. Jimmy Twin's co-authors include Sepehr N. Tabrizi, Christopher K. Fairley, Catriona S. Bradshaw, Suzanne M. Garland, Erica L. Plummer, Jane S. Hocking, Jørgen Skov Jensen, Melanie Bissessor, Lenka A. Vodstrcil and Katherine Fethers and has published in prestigious journals such as PLoS ONE, Clinical Infectious Diseases and Journal of Clinical Microbiology.

In The Last Decade

Jimmy Twin

23 papers receiving 867 citations

Author Peers

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

Author						Papers	Cites
Jimmy Twin	706	272	246	211	174	24	901
Chris L. McGowin	794 1.1×	378 1.4×	239 1.0×	97 0.5×	126 0.7×	28	973
Rebecca Lillis	856 1.2×	469 1.7×	154 0.6×	199 0.9×	69 0.4×	45	997
Andrew Hardick	493 0.7×	301 1.1×	191 0.8×	159 0.8×	48 0.3×	17	747
Jacobus M. Ossewaarde	630 0.9×	384 1.4×	174 0.7×	203 1.0×	26 0.1×	25	1.0k
C Ison	631 0.9×	370 1.4×	176 0.7×	298 1.4×	28 0.2×	28	796
Neisha Jeoffreys	501 0.7×	159 0.6×	176 0.7×	226 1.1×	166 1.0×	29	773
Olivia Peuchant	558 0.8×	480 1.8×	160 0.7×	117 0.6×	58 0.3×	53	919
T Forsey	362 0.5×	553 2.0×	85 0.3×	104 0.5×	35 0.2×	39	904
М Домейка	787 1.1×	447 1.6×	93 0.4×	322 1.5×	27 0.2×	62	947
Jane E. Raulston	528 0.7×	280 1.0×	79 0.3×	41 0.2×	31 0.2×	22	728

Countries citing papers authored by Jimmy Twin

Since Specialization

Citations

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

Fields of papers citing papers by Jimmy Twin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jimmy Twin

This figure shows the co-authorship network connecting the top 25 collaborators of Jimmy Twin. A scholar is included among the top collaborators of Jimmy Twin 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 Jimmy Twin. Jimmy Twin 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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