Diana Brixner

170 papers receiving 2.7k citations

Peers

Diana Brixner
Comparison fields: 5 of 136
  • Family Practice 169
  • Geriatrics and Gerontology 108
  • Internal Medicine 63
  • Hepatology 133
  • Cardiology and Cardiovascular Medicine 338
Replace Yea‐Huei Kao Yang with:
Yea‐Huei Kao Yang Taiwan
Julie C. Lauffenburger United States
Marianne Ulcickas Yood United States
Edward Chia‐Cheng Lai Taiwan
Judith K. Jones United States
Richard H. Chapman United States
О. М. Драпкина Russia
Anders Sundström Sweden
Maribel Salas United States
Raymond G. Schlienger Switzerland
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Citations per year

Countries citing papers authored by Diana Brixner

Since Specialization
Citations

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

Fields of papers citing papers by Diana Brixner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 178 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011148
2 2015110
3 202080
4 200879
5 200976
6 200871
7 201971
8 201868
9 200562
10 201360
11 201158
12 200657
13 200848
14 200847
15 200644
16 201943
17 199743
18 201938
19 200837
20 200636

About Diana Brixner

Diana Brixner is a scholar working on Economics and Econometrics, Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism, Pulmonary and Respiratory Medicine and Oncology, having authored 178 papers that have together received 2.8k indexed citations. Recurring topics across this work include Health Systems, Economic Evaluations, Quality of Life (23 papers), Diabetes Treatment and Management (12 papers), Diabetes Management and Research (10 papers), Medication Adherence and Compliance (9 papers), Pharmaceutical Economics and Policy (9 papers), Chronic Myeloid Leukemia Treatments (7 papers), Healthcare Policy and Management (5 papers) and Pharmaceutical studies and practices (5 papers). The work is most often cited by research in Family Practice (169 citations), Geriatrics and Gerontology (108 citations), Internal Medicine (63 citations), Hepatology (133 citations) and Cardiology and Cardiovascular Medicine (338 citations). Diana Brixner has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Joseph Biskupiak, Carrie McAdam‐Marx, Gary M. Oderda, Xiangyang Ye, Sameer R. Ghate, A. Keskinaslan, David D. Stenehjem, Sudhir Unni, Qayyim Said and Sunanda V. Kane. Their work appears in journals such as Journal of Managed Care & Specialty Pharmacy, Value in Health, Current Medical Research and Opinion, Clinical Therapeutics and Annals of Pharmacotherapy.

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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