Peter J. Neuburger
- Cardiology and Cardiovascular Medicine top 5%
- Epidemiology
- Surgery
- Pulmonary and Respiratory Medicine
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Didier F. LoulmetEugene A. GrossiMathew WilliamsMuhamed SarićHomam IbrahimRicardo BenensteinZhen‐Gang ZhaoRun Du
- Topics
- Cardiac Valve Diseases and Treatments (29 papers)Cardiac, Anesthesia and Surgical Outcomes (13 papers)Infective Endocarditis Diagnosis and Management (13 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Peter J. Neuburger
39 papers receiving 427 citations
Peers
Comparison fields: 5 of 43
- Cardiology and Cardiovascular Medicine 382
- Epidemiology 194
- Surgery 178
- Pulmonary and Respiratory Medicine 99
- Radiology, Nuclear Medicine and Imaging 35
Countries citing papers authored by Peter J. Neuburger
This map shows the geographic impact of Peter J. Neuburger'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 Peter J. Neuburger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter J. Neuburger more than expected).
Fields of papers citing papers by Peter J. Neuburger
This network shows the impact of papers produced by Peter J. Neuburger. 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 Peter J. Neuburger. The network helps show where Peter J. Neuburger may publish in the future.
Co-authorship network of co-authors of Peter J. Neuburger
This figure shows the co-authorship network connecting the top 25 collaborators of Peter J. Neuburger. A scholar is included among the top collaborators of Peter J. Neuburger 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 Peter J. Neuburger. Peter J. Neuburger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 28 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 2 | |
| 8 | 7 | |
| 9 | 0 | |
| 10 | 25 | |
| 11 | 177 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | 17 | |
| 15 | 4 | |
| 16 | 1 | |
| 17 | 24 | |
| 18 | 8 | |
| 19 | 12 | |
| 20 | 14 |
About Peter J. Neuburger
Peter J. Neuburger is a scholar working on Cardiology and Cardiovascular Medicine, Anesthesiology and Pain Medicine and Epidemiology, having authored 43 papers that have together received 436 indexed citations. Recurring topics across this work include Cardiac Valve Diseases and Treatments (29 papers), Cardiac, Anesthesia and Surgical Outcomes (13 papers) and Infective Endocarditis Diagnosis and Management (13 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (382 citations), Epidemiology (194 citations) and Surgery (178 citations). Peter J. Neuburger has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Didier F. Loulmet, Eugene A. Grossi, Mathew Williams, Muhamed Sarić, Homam Ibrahim, Ricardo Benenstein, Zhen‐Gang Zhao, Run Du, Michael Querijero and Kazuhiro Hisamoto. Their work appears in journals such as Circulation, Journal of the American College of Cardiology and Genetics.
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.