Pearman D. Parker

481 total citations
19 papers, 135 citations indexed

About

Pearman D. Parker is a scholar working on General Health Professions, Oncology and Sociology and Political Science. According to data from OpenAlex, Pearman D. Parker has authored 19 papers receiving a total of 135 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in General Health Professions, 6 papers in Oncology and 5 papers in Sociology and Political Science. Recurrent topics in Pearman D. Parker's work include Health Literacy and Information Accessibility (7 papers), Cancer survivorship and care (6 papers) and Family Support in Illness (4 papers). Pearman D. Parker is often cited by papers focused on Health Literacy and Information Accessibility (7 papers), Cancer survivorship and care (6 papers) and Family Support in Illness (4 papers). Pearman D. Parker collaborates with scholars based in United States. Pearman D. Parker's co-authors include Sue P. Heiney, Swann Arp Adams, Tisha M. Felder, Jennifer M. Hulett, Sue E. Levkoff, Hongtu Chen, Robin M. Dawson, Daniela B. Friedman, Arpan V. Prabhu and Analiz Rodriguez and has published in prestigious journals such as SHILAP Revista de lepidopterología, Breast Cancer Research and Treatment and Applied Nursing Research.

In The Last Decade

Pearman D. Parker

15 papers receiving 133 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Pearman D. Parker United States 6 70 44 33 15 15 19 135
Niki M. Medendorp Netherlands 9 100 1.4× 19 0.4× 33 1.0× 35 2.3× 14 0.9× 15 258
Ana Teixeira Portugal 9 35 0.5× 16 0.4× 9 0.3× 33 2.2× 11 0.7× 31 233
Clarissa Gardner United Kingdom 5 94 1.3× 7 0.2× 20 0.6× 6 0.4× 14 0.9× 11 224
Jennifer E. Cahill United States 8 59 0.8× 5 0.1× 22 0.7× 18 1.2× 8 0.5× 15 158
Nicole Leoce United States 10 70 1.0× 32 0.7× 172 5.2× 48 3.2× 36 2.4× 12 286
Caryl J Heaton United States 4 98 1.4× 6 0.1× 50 1.5× 35 2.3× 22 1.5× 11 311
Sarah Edgington United States 7 104 1.5× 13 0.3× 14 0.4× 11 0.7× 3 0.2× 16 159
Jennifer Millard United States 8 148 2.1× 21 0.5× 29 0.9× 23 1.5× 12 0.8× 9 338
Ilene Ladd United States 9 45 0.6× 10 0.2× 31 0.9× 10 0.7× 9 0.6× 17 171
Mitchell Tang United States 9 96 1.4× 6 0.1× 14 0.4× 2 0.1× 5 0.3× 15 244

Countries citing papers authored by Pearman D. Parker

Since Specialization
Citations

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

Fields of papers citing papers by Pearman D. Parker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pearman D. Parker. 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 Pearman D. Parker. The network helps show where Pearman D. Parker may publish in the future.

Co-authorship network of co-authors of Pearman D. Parker

This figure shows the co-authorship network connecting the top 25 collaborators of Pearman D. Parker. A scholar is included among the top collaborators of Pearman D. Parker 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 Pearman D. Parker. Pearman D. Parker is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

19 of 19 papers shown
2.
Parker, Pearman D., et al.. (2024). The Impact of Nurse Residency Programs on Patient Quality and Safety Outcomes. Journal for Nurses in Professional Development. 40(5). 268–272. 1 indexed citations
3.
Parker, Pearman D., et al.. (2024). The association of workforce configurations with length of stay and charges in hospitalized patients with congestive heart failure. SHILAP Revista de lepidopterología. 4. 1411409–1411409.
4.
Parker, Pearman D., et al.. (2024). Preparing New Graduate Nurses. Nurse Leader. 22(5). 560–565.
5.
Parker, Pearman D., et al.. (2023). “I’m Not Fighting Anymore So What Do I Do Now?” Young Women’s Challenges While Transitioning Out of Active Breast Cancer Treatment and into Survivorship. INQUIRY The Journal of Health Care Organization Provision and Financing. 60. 2866757958–2866757958. 2 indexed citations
6.
Bachu, Vismaya S., et al.. (2022). Assessing COVID-19 Health Information on Google Using the Quality Evaluation Scoring Tool (QUEST): Cross-sectional and Readability Analysis. JMIR Formative Research. 6(2). e32443–e32443. 5 indexed citations
7.
Parker, Pearman D., et al.. (2022). An Examination of Patients and Caregivers on Reddit Navigating Brain Cancer: Content Analysis of the Brain Tumor Subreddit. JMIR Cancer. 8(2). e35324–e35324. 8 indexed citations
8.
Parker, Pearman D., Arpan V. Prabhu, L. Joseph Su, et al.. (2021). What’s in Between the Lines: Assessing the Readability, Understandability, and Actionability in Breast Cancer Survivorship Print Materials. Journal of Cancer Education. 37(5). 1532–1539. 7 indexed citations
9.
Parker, Pearman D., Arpan V. Prabhu, L. Joseph Su, et al.. (2021). 55179 An assessment of understandability and actionability in breast cancer survivorship print materials. SHILAP Revista de lepidopterología. 5(s1). 129–130. 1 indexed citations
10.
Heiney, Sue P., et al.. (2020). A Smartphone App for Self-Management of Heart Failure in Older African Americans: Feasibility and Usability Study. JMIR Aging. 3(1). e17142–e17142. 36 indexed citations
11.
Parker, Pearman D., Sue P. Heiney, Swann Arp Adams, Daniela B. Friedman, & Robin M. Dawson. (2020). Factors influencing chemotherapy knowledge in women with breast cancer. Applied Nursing Research. 56. 151335–151335. 4 indexed citations
12.
Parker, Pearman D., et al.. (2020). Learning never stops: Evaluation of peer teachers in high fidelity simulation. Nursing Forum. 55(3). 341–347. 2 indexed citations
13.
Parker, Pearman D., Sue P. Heiney, Daniela B. Friedman, Swann Arp Adams, & Robin M. Dawson. (2019). The Experience of Chemotherapy Teaching and Readability of Chemotherapy Educational Materials for Women with Breast Cancer. Journal of Cancer Education. 36(1). 47–55. 5 indexed citations
14.
Heiney, Sue P., et al.. (2018). A systematic review of interventions to improve adherence to endocrine therapy. Breast Cancer Research and Treatment. 173(3). 499–510. 41 indexed citations
15.
Parker, Pearman D., Sue P. Heiney, Daniela B. Friedman, et al.. (2018). How are health literacy principles incorporated into breast cancer chemotherapy education? A review of the literature. Journal of Nursing Education and Practice. 8(6). 77–77. 6 indexed citations
16.
Fairchild, Amanda J., Sue P. Heiney, Meghan Baruth, et al.. (2017). Mediators of Social Connection in a Group Teleconference Intervention. Research and theory for nursing practice. 31(2). 121–136.
17.
Felder, Tisha M., et al.. (2017). Expectations and reality: perceptions of support among African American breast cancer survivors. Ethnicity and Health. 24(7). 737–753. 12 indexed citations
18.
Heiney, Sue P., Mary Gullatte, Pearman D. Parker, Barbara D. Powe, & Brian Habing. (2015). Fatalism Revisited: Further Psychometric Testing Across Two Studies. Journal of Religion and Health. 55(4). 1472–1481. 3 indexed citations
19.
Heiney, Sue P., et al.. (2015). The Impact of STORY on Depression and Fatigue in African-American Women with Breast Cancer.. PubMed. 26(1). 1–7. 2 indexed citations

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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