Joel M. Kupfer
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 10%
- General Health Professions top 10%
- Surgery
- Endocrinology, Diabetes and Metabolism top 10%
- Co-authors
- Edward U. BondJames S. ForresterCarlos J. PirolaDaniel Giannella‐NetoBehrooz G. SharifiJack M. MatloffSunil V. RaoStanley A. Rubin
- Topics
- Healthcare Policy and Management (4 papers)Cardiac, Anesthesia and Surgical Outcomes (3 papers)Healthcare cost, quality, practices (2 papers)
- Cited by
- Cardiology and Cardiovascular MedicineInternal MedicineEndocrinology, Diabetes and Metabolism
- Partner nations
- United StatesCanadaSweden
In The Last Decade
Joel M. Kupfer
19 papers receiving 601 citations
Peers
Comparison fields: 5 of 88
- Molecular Biology 180
- Cardiology and Cardiovascular Medicine 178
- General Health Professions 129
- Surgery 103
- Endocrinology, Diabetes and Metabolism 101
Countries citing papers authored by Joel M. Kupfer
This map shows the geographic impact of Joel M. Kupfer'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 Joel M. Kupfer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joel M. Kupfer more than expected).
Fields of papers citing papers by Joel M. Kupfer
This network shows the impact of papers produced by Joel M. Kupfer. 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 Joel M. Kupfer. The network helps show where Joel M. Kupfer may publish in the future.
Co-authorship network of co-authors of Joel M. Kupfer
This figure shows the co-authorship network connecting the top 25 collaborators of Joel M. Kupfer. A scholar is included among the top collaborators of Joel M. Kupfer 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 Joel M. Kupfer. Joel M. Kupfer 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 | 27 | |
| 3 | 59 | |
| 4 | 63 | |
| 5 | 14 | |
| 6 | 14 | |
| 7 | 112 | |
| 8 | [Interdisciplinary model project neurodermatitis--education for children and adolescents]. | 2 |
| 9 | 4 | |
| 10 | 25 | |
| 11 | 10 | |
| 12 | 39 | |
| 13 | 2 | |
| 14 | 14 | |
| 15 | Interaction of age and preoperative risk factors in predicting operative mortality for coronary bypass surgery. | 39 |
| 16 | 57 | |
| 17 | 44 | |
| 18 | 5 | |
| 19 | 94 |
About Joel M. Kupfer
Joel M. Kupfer is a scholar working on Anatomy, Cardiology and Cardiovascular Medicine and Pharmacy, having authored 19 papers that have together received 625 indexed citations. Recurring topics across this work include Healthcare Policy and Management (4 papers), Cardiac, Anesthesia and Surgical Outcomes (3 papers) and Healthcare cost, quality, practices (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (178 citations), Internal Medicine (23 citations) and Endocrinology, Diabetes and Metabolism (101 citations). Joel M. Kupfer has collaborated with scholars based in United States, Canada and Sweden. Frequent co-authors include Edward U. Bond, James S. Forrester, Carlos J. Pirola, Daniel Giannella‐Neto, Behrooz G. Sharifi, Jack M. Matloff, Sunil V. Rao, Stanley A. Rubin, Kaie Ojamaa and Hiroshi Enomoto. Their work appears in journals such as JAMA, Journal of Clinical Investigation and Annals of Internal Medicine.
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.