Danielle Schubbe

649 citations
15 papers · 287 · h-index 10

Impact in

    • Artificial Intelligence in Healthcare and Education
    • Patient-Provider Communication in Healthcare
    • Health Literacy and Information Accessibility
    • Mobile Health and mHealth Applications

Papers in

Danielle Schubbe

15 papers receiving 283 citations

Peers

Danielle Schubbe
Comparison fields: 5 of 75
  • Health Informatics 6
  • General Health Professions 84
  • Family Practice 5
  • Health 16
  • Economics and Econometrics 54
Replace Julia Bobek with:
Julia Bobek Austria
Jacob W. Dembosky United States
Karen A. Scherr United States
Mattias Kyhlstedt Sweden
Marcia I. Epelbaum United States
Michael Rozier United States
Dorothy Lall India
Jhiedon Florentino United States
Regina Greer-Smith United States
Nieves Ehrenberg United Kingdom
Danielle Schubbe relative to Julia Bobek Austria Julia Bobek's profile →
Citations per field
00.5×2×2.7×
Julia Bobek · 1×
Citations per year

Countries citing papers authored by Danielle Schubbe

Since Specialization
Citations

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

Fields of papers citing papers by Danielle Schubbe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 2020109
2 202048
3 201822
4 201820
5 201915
6 202114
7 202113
8 202013
9 202112
10 20219
11 20234
12 20213
13 20233
14 20241
15 20211

About Danielle Schubbe

Danielle Schubbe is a scholar working on General Health Professions, Economics and Econometrics, Health Information Management, Oncology and Public Health, Environmental and Occupational Health, having authored 15 papers that have together received 287 indexed citations. Recurring topics across this work include Patient-Provider Communication in Healthcare (3 papers), Health Literacy and Information Accessibility (2 papers), Economic and Financial Impacts of Cancer (2 papers), Ethics in Clinical Research (1 paper), Health Systems, Economic Evaluations, Quality of Life (1 paper), Electronic Health Records Systems (1 paper) and Global Cancer Incidence and Screening (1 paper). The work is most often cited by research in Health Informatics (6 citations), General Health Professions (84 citations), Family Practice (5 citations), Health (16 citations) and Economics and Econometrics (54 citations). Danielle Schubbe has collaborated with scholars based in United States, France and Switzerland. Frequent co-authors include Renata W. Yen, Glyn Elwyn, Catherine Saunders, Marie‐Anne Durand, Peter Scalia, Sarah Cohen, Marie‐Anne Durand, Maria van den Muijsenbergh, Rachel C Forcino and A. James O’Malley. Their work appears in journals such as Implementation Science, Patient Education and Counseling, BMJ Open, Medical Care and Breast Cancer Targets and Therapy.

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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