Jane Shill

953 citations
10 papers · 617 · 1 hit paper · h-index 8

Impact in

Papers in

Jane Shill

10 papers receiving 603 citations

Jane Shill's Hit Papers

Evaluating mobile phone applications for health behaviour change: A systematic review 2016 · 288 citations
2880+3+6Years since publication50100150200250

Peers

Jane Shill
Comparison fields: 5 of 98
  • Applied Psychology 97
  • General Health Professions 211
  • Pharmacy 26
  • Human-Computer Interaction 25
  • Public Health, Environmental and Occupational Health 110
Replace Brian Yoshio Laing with:
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Jane Shill relative to Brian Yoshio Laing United States Brian Yoshio Laing's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jane Shill

Since Specialization
Citations

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

Fields of papers citing papers by Jane Shill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jane Shill, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jane Shill Line = papers co-authored together Jane Shill links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1
Evaluating mobile phone applications for health behaviour change: A systematic review
Hit paper breakdown →
2016288
2 2019129
3 201166
4
Prioritizing areas for action in the field of population-based prevention of childhood obesity
201241
5 201339
6 201223
7 201216
8 202012
9 20202
10
Frameworks for the major population-based policies to prevent childhood obesity : framework for population-based policies to prevent childhood obesity cost-effectiveness model of the diet component of the global strategy on diet, physical activity and hea
20091

About Jane Shill

Jane Shill is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health, Sociology and Political Science, Pharmacy and Transportation, having authored 10 papers that have together received 617 indexed citations. Recurring topics across this work include Obesity, Physical Activity, Diet (3 papers), Mobile Health and mHealth Applications (2 papers), Digital Mental Health Interventions (1 paper), Sport and Mega-Event Impacts (1 paper), Urban Transport and Accessibility (1 paper), Child Development and Digital Technology (1 paper), Sports Analytics and Performance (1 paper) and Global Public Health Policies and Epidemiology (1 paper). The work is most often cited by research in Applied Psychology (97 citations), General Health Professions (211 citations), Pharmacy (26 citations), Human-Computer Interaction (25 citations) and Public Health, Environmental and Occupational Health (110 citations). Jane Shill has collaborated with scholars based in Australia, United Kingdom and Finland. Frequent co-authors include Fiona H. McKay, Hugh Stephens, Annemarie Wright, Christina Cheng, Gary Sacks, Boyd Swinburn, Steven Allender, H. Mavoa, Mark Lawrence and Anna Peeters. Their work appears in journals such as BMC Public Health, Obesity Reviews, Diabetes Care, Communication & Sport and PLoS ONE.

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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