Gloria M. Gager
- Cardiology and Cardiovascular Medicine top 10%
- Epidemiology
- Endocrinology, Diabetes and Metabolism
- Surgery
- Molecular Biology
- Co-authors
- Jolanta M. Siller‐MatulaMarek PostułaBernd JilmaCeren EyiletenChristian HengstenbergDirk von LewinskiHarald SourijGeorg Gelbenegger
- Topics
- Diabetes Treatment and Management (4 papers)Acute Myocardial Infarction Research (4 papers)Antiplatelet Therapy and Cardiovascular Diseases (3 papers)
- Cited by
- Cardiology and Cardiovascular MedicineInternal MedicineEndocrinology, Diabetes and Metabolism
- Partner nations
- AustriaPolandUnited States
In The Last Decade
Gloria M. Gager
14 papers receiving 272 citations
Peers
Comparison fields: 5 of 48
- Cardiology and Cardiovascular Medicine 153
- Epidemiology 84
- Endocrinology, Diabetes and Metabolism 66
- Surgery 63
- Molecular Biology 48
Countries citing papers authored by Gloria M. Gager
This map shows the geographic impact of Gloria M. Gager'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 Gloria M. Gager with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gloria M. Gager more than expected).
Fields of papers citing papers by Gloria M. Gager
This network shows the impact of papers produced by Gloria M. Gager. 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 Gloria M. Gager. The network helps show where Gloria M. Gager may publish in the future.
Co-authorship network of co-authors of Gloria M. Gager
This figure shows the co-authorship network connecting the top 25 collaborators of Gloria M. Gager. A scholar is included among the top collaborators of Gloria M. Gager 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 Gloria M. Gager. Gloria M. Gager is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 4 | |
| 3 | 4 | |
| 4 | 8 | |
| 5 | 76 | |
| 6 | 28 | |
| 7 | 47 | |
| 8 | 34 | |
| 9 | 7 | |
| 10 | 6 | |
| 11 | 1 | |
| 12 | 9 | |
| 13 | 45 | |
| 14 | 2 |
About Gloria M. Gager
Gloria M. Gager is a scholar working on Cardiology and Cardiovascular Medicine, Internal Medicine and Endocrinology, Diabetes and Metabolism, having authored 14 papers that have together received 273 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (4 papers), Acute Myocardial Infarction Research (4 papers) and Antiplatelet Therapy and Cardiovascular Diseases (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (153 citations), Internal Medicine (17 citations) and Endocrinology, Diabetes and Metabolism (66 citations). Gloria M. Gager has collaborated with scholars based in Austria, Poland and United States. Frequent co-authors include Jolanta M. Siller‐Matula, Marek Postuła, Bernd Jilma, Ceren Eyileten, Christian Hengstenberg, Dirk von Lewinski, Harald Sourij, Georg Gelbenegger, Poonam Velagapudi and Jacek Legutko. Their work appears in journals such as European Heart Journal, Clinical Pharmacology & Therapeutics and Biomedicine & 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.