Jane Prosser

10 total papers · 678 total citations
5 papers, 495 citations indexed

About

Jane Prosser is a scholar working on Epidemiology, Radiology, Nuclear Medicine and Imaging and Pharmacology. According to data from OpenAlex, Jane Prosser has authored 5 papers receiving a total of 495 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 2 papers in Radiology, Nuclear Medicine and Imaging and 1 paper in Pharmacology. Recurrent topics in Jane Prosser's work include Acute Ischemic Stroke Management (4 papers), Advanced Neuroimaging Techniques and Applications (2 papers) and Palliative Care and End-of-Life Issues (1 paper). Jane Prosser is often cited by papers focused on Acute Ischemic Stroke Management (4 papers), Advanced Neuroimaging Techniques and Applications (2 papers) and Palliative Care and End-of-Life Issues (1 paper). Jane Prosser collaborates with scholars based in Australia, Germany and United States. Jane Prosser's co-authors include Stephen M. Davis, Lachlan MacGregor, Hans‐Christoph Diener, Werner Hacke, Kennedy R. Lees, Louise Allport, Kenneth Butcher, Tracy Baird, Peter G. Colman and Mark Parsons and has published in prestigious journals such as Diabetes Care, Stroke and Journal of the American Medical Directors Association.

In The Last Decade

Jane Prosser

5 papers receiving 482 citations

Author Peers

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

Author Last Decade Papers Cites
Jane Prosser 296 165 126 109 72 5 495
Heather M. O’Malley 358 1.2× 155 0.9× 215 1.7× 124 1.1× 38 0.5× 9 540
A. C. M. Leyten 199 0.7× 98 0.6× 110 0.9× 182 1.7× 32 0.4× 10 515
Luca Bertolani 398 1.3× 142 0.9× 124 1.0× 168 1.5× 41 0.6× 7 502
Katja E. Wartenberg 141 0.5× 135 0.8× 67 0.5× 287 2.6× 12 0.2× 8 448
Minna M. Kaarisalo 260 0.9× 221 1.3× 120 1.0× 72 0.7× 32 0.4× 11 440
Rodica E. Petrea 278 0.9× 148 0.9× 148 1.2× 66 0.6× 37 0.5× 11 546
H Shoji 220 0.7× 168 1.0× 82 0.7× 140 1.3× 43 0.6× 10 515
J.C. van Latum 210 0.7× 226 1.4× 217 1.7× 102 0.9× 18 0.3× 7 528
Daniel Homer 236 0.8× 140 0.8× 217 1.7× 92 0.8× 15 0.2× 8 529
Janardhanan P. Unnikrishnan 173 0.6× 55 0.3× 125 1.0× 51 0.5× 37 0.5× 9 409

Countries citing papers authored by Jane Prosser

Since Specialization
Citations

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

Fields of papers citing papers by Jane Prosser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jane Prosser

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