Diana Poehler

635 total citations
10 papers, 311 citations indexed

About

Diana Poehler is a scholar working on Economics and Econometrics, Oncology and Epidemiology. According to data from OpenAlex, Diana Poehler has authored 10 papers receiving a total of 311 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Economics and Econometrics, 3 papers in Oncology and 3 papers in Epidemiology. Recurrent topics in Diana Poehler's work include Global Cancer Incidence and Screening (3 papers), Economic and Financial Impacts of Cancer (3 papers) and Health Systems, Economic Evaluations, Quality of Life (3 papers). Diana Poehler is often cited by papers focused on Global Cancer Incidence and Screening (3 papers), Economic and Financial Impacts of Cancer (3 papers) and Health Systems, Economic Evaluations, Quality of Life (3 papers). Diana Poehler collaborates with scholars based in United States, Kenya and Greece. Diana Poehler's co-authors include Olga Khavjou, Alyssa Leib, Rebecca Kirch, Laurie P. Whitsel, Sandra B. Dunbar, Tamilyn Bakas, R. Sean Morrison, Véronique L. Roger, Benjamin T. Allaire and Donatus U. Ekwueme and has published in prestigious journals such as Circulation, Diabetes Care and American Journal of Preventive Medicine.

In The Last Decade

Diana Poehler

10 papers receiving 303 citations

Peers

Diana Poehler

CCM

EPIDE

GHP

EE

SURGE

Yael Rachamin Switzerland

Pengxiao C. Wei United States

Eva Lesén Sweden

Zhigang Pan China

Jesse K. Fitzpatrick United States

Steven H. Hendriks Netherlands

Greg J. Zahner United States

Xin Zheng China

Liming Li China

Ting‐Ying Huang United States

Yael Rachamin Switzerland

Diana Poehler

50 ×0.6

CCM

40 ×0.6

EPIDE

51 ×0.9

GHP

67 ×1.3

EE

43 ×1.2

SURGE

Citations per year, relative to Diana Poehler Diana Poehler (= 1×) peers Yael Rachamin

Countries citing papers authored by Diana Poehler

Since Specialization

Citations

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

Fields of papers citing papers by Diana Poehler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Diana Poehler

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

All Works

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10 of 10 papers shown

1.

Mark, Tami L., Melissa Dolan, Benjamin T. Allaire, et al.. (2024). Untreated Psychiatric and Substance Use Disorders Among Caregivers With Children Reported to Child Protective Services. JAMA Health Forum. 5(4). e240637–e240637. 6 indexed citations

2.

Mark, Tami L., Melissa Dolan, Benjamin T. Allaire, et al.. (2024). Linked Child Welfare and Medicaid Data in Kentucky and Florida Highlights Racial Disparities in Access to Care. Child Maltreatment. 30(1). 3–8. 2 indexed citations

3.

Khavjou, Olga, Sharon Saydah, Ping Zhang, et al.. (2018). Estimating State-Level Health Burden of Diabetes: Diabetes-Attributable Fractions for Diabetes Complications. American Journal of Preventive Medicine. 56(2). 232–240. 4 indexed citations

4.

Shrestha, Sundar S., Amanda Honeycutt, Wenya Yang, et al.. (2018). Economic Costs Attributable to Diabetes in Each U.S. State. Diabetes Care. 41(12). 2526–2534. 34 indexed citations

5.

Dunbar, Sandra B., Olga Khavjou, Tamilyn Bakas, et al.. (2018). Projected Costs of Informal Caregiving for Cardiovascular Disease: 2015 to 2035: A Policy Statement From the American Heart Association. Circulation. 137(19). e558–e577. 200 indexed citations

6.

Neuwahl, Simon, Amanda Honeycutt, Diana Poehler, et al.. (2018). Diabetes-Attributable Nursing Home Costs for Each U.S. State. Diabetes Care. 41(7). 1455–1461. 9 indexed citations

7.

Ekwueme, Donatus U., Benjamin T. Allaire, William J. Parish, et al.. (2017). Estimation of Breast Cancer Incident Cases and Medical Care Costs Attributable to Alcohol Consumption Among Insured Women Aged <45 Years in the U.S.. American Journal of Preventive Medicine. 53(3). S47–S54. 9 indexed citations

8.

Allaire, Benjamin T., Donatus U. Ekwueme, Diana Poehler, et al.. (2017). Breast cancer treatment costs in younger, privately insured women. Breast Cancer Research and Treatment. 164(2). 429–436. 24 indexed citations

9.

Trogdon, Justin G., Donatus U. Ekwueme, Diana Poehler, et al.. (2017). Medical costs of treating breast cancer among younger Medicaid beneficiaries by stage at diagnosis. Breast Cancer Research and Treatment. 166(1). 207–215. 7 indexed citations

10.

Parish, William J., Arnie Aldridge, Benjamin T. Allaire, et al.. (2017). A new methodological approach to adjust alcohol exposure distributions to improve the estimation of alcohol‐attributable fractions. Addiction. 112(11). 2053–2063. 16 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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