Daniel S. Kushner
Impact in
- Nephrology top 5%
- Parathyroid Disorders and Treatments
- Renal Diseases and Glomerulopathies
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- Cardiac electrophysiology and arrhythmias
Papers in
-
- Parathyroid Disorders and Treatments 2
- Renal Diseases and Glomerulopathies 2
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- Neurological and metabolic disorders 2
- Co-authors
- Alvin DubinDavid BronskyI. SnapperSheldon S. WaldsteinS. Howard ArmstrongA. S. MarkowitzHans PópperJ. de la Huerga
- Journals
- The American Journal of Medicine (3 papers)The American Journal of Cardiology (3 papers)Medicine (2 papers)American Journal of Clinical Nutrition (1 paper)Journal of Investigative Dermatology (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Daniel S. Kushner
22 papers receiving 357 citations
Peers
Comparison fields: 5 of 85
- Nephrology 143
- Cardiology and Cardiovascular Medicine 79
- Pulmonary and Respiratory Medicine 107
- Genetics 80
- Endocrinology, Diabetes and Metabolism 41
Countries citing papers authored by Daniel S. Kushner
This map shows the geographic impact of Daniel S. Kushner'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 S. Kushner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel S. Kushner more than expected).
Fields of papers citing papers by Daniel S. Kushner
This network shows the impact of papers produced by Daniel S. Kushner. 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 S. Kushner. The network helps show where Daniel S. Kushner may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel S. Kushner, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 2 | |
| 2 | 2023 | 1 | |
| 3 | 2023 | 2 | |
| 4 | 2023 | 0 | |
| 5 | 2022 | 3 | |
| 6 | 2022 | 1 | |
| 7 | 1964 | 7 | |
| 8 | 1961 | 20 | |
| 9 | 1961 | 40 | |
| 10 | 1961 | 38 | |
| 11 | 1960 | 21 | |
| 12 | 1960 | 4 | |
| 13 | 1960 | 39 | |
| 14 | 1958 | 144 | |
| 15 | Effect of chlorpromazine upon experimental hepatic injury. | 1957 | 10 |
| 16 | 1956 | 2 | |
| 17 | 1956 | 10 | |
| 18 | Studies of serum mucoprotein (seromucoid). I. A turbidimetric method. | 1956 | 32 |
| 19 | 1955 | 8 | |
| 20 | 1955 | 4 |
About Daniel S. Kushner
Daniel S. Kushner is a scholar working on Nephrology, Endocrinology, Diabetes and Metabolism, Safety, Risk, Reliability and Quality, Rheumatology and Genetics, having authored 24 papers that have together received 463 indexed citations. Recurring topics across this work include Optimal Power Flow Distribution (3 papers), Cardiac electrophysiology and arrhythmias (3 papers), Smart Grid Energy Management (2 papers), Power System Reliability and Maintenance (2 papers), Parathyroid Disorders and Treatments (2 papers), Renal Diseases and Glomerulopathies (2 papers), Neurological and metabolic disorders (2 papers) and Microgrid Control and Optimization (2 papers). The work is most often cited by research in Nephrology (143 citations), Cardiology and Cardiovascular Medicine (79 citations), Pulmonary and Respiratory Medicine (107 citations), Genetics (80 citations) and Endocrinology, Diabetes and Metabolism (41 citations). Daniel S. Kushner has collaborated with scholars based in United States and China. Frequent co-authors include Alvin Dubin, David Bronsky, I. Snapper, Sheldon S. Waldstein, S. Howard Armstrong, A. S. Markowitz, Hans Pópper, J. de la Huerga, Paul B. Szanto and Ignacio Arribas. Their work appears in journals such as The American Journal of Medicine, The American Journal of Cardiology, Medicine, American Journal of Clinical Nutrition and Journal of Investigative Dermatology.
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.