Janet E. Shepherd

24 papers receiving 1.3k citations

Janet E. Shepherd's Hit Papers

Predicting Human Papillomavirus Vaccine Uptake in Young Adult Women: Comparing the Health Belief Model and Theory of Planned Behavior 2012 · 366 citations
3660+4+9Years since publication100200300

Peers

Janet E. Shepherd
Comparison fields: 5 of 126
  • Health 390
  • Applied Psychology 163
  • Epidemiology 454
  • Literature and Literary Theory 165
  • Endocrinology, Diabetes and Metabolism 103
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Citations per year

Countries citing papers authored by Janet E. Shepherd

Since Specialization
Citations

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

Fields of papers citing papers by Janet E. Shepherd

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Janet E. Shepherd. 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 Janet E. Shepherd. The network helps show where Janet E. Shepherd may publish in the future.

Co-authors

The 15 scholars most cited alongside Janet E. Shepherd, 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 Janet E. Shepherd Line = papers co-authored together Janet E. Shepherd links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Predicting Human Papillomavirus Vaccine Uptake in Young Adult Women: Comparing the Health Belief Model and Theory of Planned Behavior
Hit paper breakdown →
2012366
2 2007230
3 2006126
4 2008102
5 200180
6 201170
7 199468
8 201161
9 198759
10 201537
11 201626
12
The European Atherosclerosis Reasearch Study (EARS) - Design and objectives.
199425
13
Striking a Balance: The Management of Language in Singapore
200519
14 200017
15 200315
16 200615
17 200212
18 20029
19 20018
20
Rethinking e-learning design on generative learning principles
20027

About Janet E. Shepherd

Janet E. Shepherd is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism, Reproductive Medicine, Genetics and Health, having authored 25 papers that have together received 1.4k indexed citations. Recurring topics across this work include Menopause: Health Impacts and Treatments (5 papers), Cervical Cancer and HPV Research (4 papers), Estrogen and related hormone effects (3 papers), Endometriosis Research and Treatment (2 papers), Vaccine Coverage and Hesitancy (2 papers), Behavioral Health and Interventions (1 paper), Cancer Genomics and Diagnostics (1 paper) and Language, Discourse, Communication Strategies (1 paper). The work is most often cited by research in Health (390 citations), Applied Psychology (163 citations), Epidemiology (454 citations), Literature and Literary Theory (165 citations) and Endocrinology, Diabetes and Metabolism (103 citations). Janet E. Shepherd has collaborated with scholars based in United States and Vietnam. Frequent co-authors include Mary A. Gerend, Melissa A. Shepherd, Richard Wiebe, Sezer Aksel, Mia Liza A. Lustria, Stefaan De Henauw, Robert G. Brooks, Gui De Backer, Nir Menachemi and John D. Grabenstein. Their work appears in journals such as Health Psychology, JAMA, Annals of Behavioral Medicine, Sexually Transmitted Infections and Sexually Transmitted Diseases.

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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