Janet L. Johnson

32 papers receiving 1.1k citations

Peers

Janet L. Johnson
Comparison fields: 5 of 120
  • Applied Psychology 309
  • Family Practice 56
  • General Health Professions 452
  • Health 129
  • Clinical Psychology 235
Replace Pamela Williams-Piehota with:
Pamela Williams-Piehota United States
Janice M. Prochaska United States
Majid Barati Iran
Kathleen Kelly United States
Carolyn M. Tucker United States
Mia Liza A. Lustria United States
Abby Prestin United States
EunSeok Cha United States
David B. Portnoy United States
Michael B. Madson United States
Janet L. Johnson relative to Pamela Williams-Piehota United States Pamela Williams-Piehota's profile →
Citations per field
00.5×2.9×
Pamela Williams-Piehota · 1×
Citations per year

Countries citing papers authored by Janet L. Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Janet L. Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Janet L. Johnson, 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 L. Johnson Line = papers co-authored together Janet L. Johnson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007241
2 200694
3 200694
4 201085
5 200671
6 200771
7 201656
8 200556
9 201255
10 201148
11
Applying the Transtheoretical Model of Change to Consumer Debt Behavior
200448
12 201243
13 200341
14 198339
15 200832
16 200132
17 201230
18 200630
19 200922
20 200719

About Janet L. Johnson

Janet L. Johnson is a scholar working on Applied Psychology, General Health Professions, Clinical Psychology, Sociology and Political Science and Social Psychology, having authored 35 papers that have together received 1.3k indexed citations. Recurring topics across this work include Behavioral Health and Interventions (11 papers), Child and Adolescent Psychosocial and Emotional Development (5 papers), Nonprofit Sector and Volunteering (4 papers), Religion, Society, and Development (4 papers), Workplace Health and Well-being (3 papers), Adolescent Sexual and Reproductive Health (3 papers), Smoking Behavior and Cessation (3 papers) and Substance Abuse Treatment and Outcomes (3 papers). The work is most often cited by research in Applied Psychology (309 citations), Family Practice (56 citations), General Health Professions (452 citations), Health (129 citations) and Clinical Psychology (235 citations). Janet L. Johnson has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Janice M. Prochaska, James O. Prochaska, Andrea L. Paiva, Kerry E. Evers, Sara S. Johnson, Karen J. Sherman, Carol O. Cummins, David M. Van Slyke, Leanne M. Mauriello and Patricia H. Castle. Their work appears in journals such as Addictive Behaviors, Journal of Health Psychology, Preventive Medicine, Population Health Management and Applied Psychology.

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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