Leonard Oppenheimer
- Cardiology and Cardiovascular Medicine top 5%
- Internal Medicine top 2%
- Surgery
- Hematology
- Spectroscopy
- Co-authors
- Frank MisselwitzPaul BurtonSatishkumar MohanaveluAdam WitkowskiPascual BordesRohan PoulterC. Michael GibsonВ. А. Марков
- Topics
- Atrial Fibrillation Management and Outcomes (3 papers)Statistical Methods in Clinical Trials (3 papers)Veterinary Pharmacology and Anesthesia (2 papers)
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Leonard Oppenheimer
14 papers receiving 691 citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Cardiology and Cardiovascular Medicine 490
- Internal Medicine 277
- Surgery 82
- Hematology 51
- Spectroscopy 47
Countries citing papers authored by Leonard Oppenheimer
This map shows the geographic impact of Leonard Oppenheimer'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 Leonard Oppenheimer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leonard Oppenheimer more than expected).
Fields of papers citing papers by Leonard Oppenheimer
This network shows the impact of papers produced by Leonard Oppenheimer. 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 Leonard Oppenheimer. The network helps show where Leonard Oppenheimer may publish in the future.
Co-authorship network of co-authors of Leonard Oppenheimer
This figure shows the co-authorship network connecting the top 25 collaborators of Leonard Oppenheimer. A scholar is included among the top collaborators of Leonard Oppenheimer 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 Leonard Oppenheimer. Leonard Oppenheimer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 21 | |
| 3 | 35 | |
| 4 | 3 | |
| 5 | Rivaroxaban versus placebo in patients with acute coronary syndromes (ATLAS ACS-TIMI 46): a randomised, double-blind, phase II trialbreakdown → | 488 |
| 6 | 11 | |
| 7 | 9 | |
| 8 | 13 | |
| 9 | 3 | |
| 10 | 17 | |
| 11 | 1 | |
| 12 | 102 | |
| 13 | 14 | |
| 14 | Estimation of a mixture of exponentials for complete and censored samples. | 3 |
About Leonard Oppenheimer
Leonard Oppenheimer is a scholar working on Internal Medicine, Statistics and Probability and Family Practice, having authored 14 papers that have together received 728 indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (3 papers), Statistical Methods in Clinical Trials (3 papers) and Veterinary Pharmacology and Anesthesia (2 papers). The work is most often cited by research in Internal Medicine (277 citations), Cardiology and Cardiovascular Medicine (490 citations) and Statistics and Probability (38 citations). Leonard Oppenheimer has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Frank Misselwitz, Paul Burton, Satishkumar Mohanavelu, Adam Witkowski, Pascual Bordes, Rohan Poulter, C. Michael Gibson, В. А. Марков, Eugene Braunwald and V. Hricak. Their work appears in journals such as The Lancet, Environmental Science & Technology and Analytical Chemistry.
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.