Jennifer Ashton

77 total papers · 558 total citations
35 papers, 224 citations indexed

About

Jennifer Ashton is a scholar working on General Health Professions, Literature and Literary Theory and Organizational Behavior and Human Resource Management. According to data from OpenAlex, Jennifer Ashton has authored 35 papers receiving a total of 224 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in General Health Professions, 6 papers in Literature and Literary Theory and 4 papers in Organizational Behavior and Human Resource Management. Recurrent topics in Jennifer Ashton's work include Poetry Analysis and Criticism (6 papers), Global Public Health Policies and Epidemiology (4 papers) and Primary Care and Health Outcomes (3 papers). Jennifer Ashton is often cited by papers focused on Poetry Analysis and Criticism (6 papers), Global Public Health Policies and Epidemiology (4 papers) and Primary Care and Health Outcomes (3 papers). Jennifer Ashton collaborates with scholars based in United Kingdom, United States and Spain. Jennifer Ashton's co-authors include Leticia Gutierrez, Guy Bourgon, Maria Koelen, Stanley Levin, Frances Degen Horowitz, Rex E. Culp, Peter Flynn, Antonieta Rojas de Árias, Joan Costa‐Font and Michael Palumbo and has published in prestigious journals such as Child Development, Journal of Epidemiology & Community Health and Medical Education.

In The Last Decade

Jennifer Ashton

29 papers receiving 184 citations

Author Peers

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

Author Last Decade Papers Cites
Jennifer Ashton 81 52 37 36 24 35 224
Andie L. Knutson 58 0.7× 47 0.9× 52 1.4× 28 0.8× 10 0.4× 32 318
Katie Cueva 163 2.0× 64 1.2× 19 0.5× 59 1.6× 16 0.7× 36 317
Kira Patterson 121 1.5× 39 0.8× 20 0.5× 30 0.8× 6 0.3× 33 299
Elli Nur Hayati 74 0.9× 108 2.1× 46 1.2× 111 3.1× 3 0.1× 31 285
Magnhild Høie 89 1.1× 55 1.1× 60 1.6× 13 0.4× 8 0.3× 20 316
Aimei Mao 127 1.6× 66 1.3× 72 1.9× 19 0.5× 4 0.2× 26 313
Jessica K. Perrotte 81 1.0× 85 1.6× 84 2.3× 22 0.6× 4 0.2× 38 285
Jolanda Mathijssen 75 0.9× 25 0.5× 63 1.7× 12 0.3× 8 0.3× 38 289
Sandra Young 116 1.4× 55 1.1× 27 0.7× 18 0.5× 15 0.6× 31 223
Jonathan Maupin 76 0.9× 41 0.8× 50 1.4× 19 0.5× 4 0.2× 24 280

Countries citing papers authored by Jennifer Ashton

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Ashton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Ashton

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