Daniel D. Gretler
- Cardiology and Cardiovascular Medicine top 2%
- Surgery top 10%
- Internal Medicine top 1%
- Hematology top 5%
- Genetics top 5%
- Co-authors
- Michael MurphyRobert M. ScarboroughUma SinhaK. S. NelsonRobert A. HarringtonAthiwat HutchaleelahaMatthew W. McClurePaul Dorian
- Topics
- Antiplatelet Therapy and Cardiovascular Diseases (11 papers)Acute Myocardial Infarction Research (11 papers)Atrial Fibrillation Management and Outcomes (7 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Daniel D. Gretler
42 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 91
- Cardiology and Cardiovascular Medicine 1.1k
- Surgery 441
- Internal Medicine 387
- Hematology 278
- Genetics 169
Countries citing papers authored by Daniel D. Gretler
This map shows the geographic impact of Daniel D. Gretler'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 Daniel D. Gretler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel D. Gretler more than expected).
Fields of papers citing papers by Daniel D. Gretler
This network shows the impact of papers produced by Daniel D. Gretler. 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 Daniel D. Gretler. The network helps show where Daniel D. Gretler may publish in the future.
Co-authorship network of co-authors of Daniel D. Gretler
This figure shows the co-authorship network connecting the top 25 collaborators of Daniel D. Gretler. A scholar is included among the top collaborators of Daniel D. Gretler 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 Daniel D. Gretler. Daniel D. Gretler 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 | 2 | |
| 3 | 5 | |
| 4 | 5 | |
| 5 | 84 | |
| 6 | 1 | |
| 7 | 100 | |
| 8 | 12 | |
| 9 | 1 | |
| 10 | 68 | |
| 11 | 72 | |
| 12 | 28 | |
| 13 | 3 | |
| 14 | 5 | |
| 15 | 91 | |
| 16 | 54 | |
| 17 | Low predictive value of positive Osler manoeuvre for diagnosing pseudohypertension. | 6 |
| 18 | Diurnal blood pressure variation: differences among disparate ethnic groups. | 24 |
| 19 | 23 | |
| 20 | 96 |
About Daniel D. Gretler
Daniel D. Gretler is a scholar working on Internal Medicine, Cardiology and Cardiovascular Medicine and Hematology, having authored 43 papers that have together received 1.6k indexed citations. Recurring topics across this work include Antiplatelet Therapy and Cardiovascular Diseases (11 papers), Acute Myocardial Infarction Research (11 papers) and Atrial Fibrillation Management and Outcomes (7 papers). The work is most often cited by research in Internal Medicine (387 citations), Cardiology and Cardiovascular Medicine (1.1k citations) and Hematology (278 citations). Daniel D. Gretler has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Michael Murphy, Robert M. Scarborough, Uma Sinha, K. S. Nelson, Robert A. Harrington, Athiwat Hutchaleelaha, Matthew W. McClure, Paul Dorian, Mira Patel and Michael Gent. Their work appears in journals such as Circulation, Blood and Journal of the American College of Cardiology.
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.