Neil I. Kaminsky
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 10%
- Pulmonary and Respiratory Medicine
- Physiology
- Nephrology top 5%
- Co-authors
- Arthur E. BroadusGrant W. LiddleJoel G. HardmanEarl W. SutherlandJohn H. BallRobert C. NorthcuttMartin J. ConwayMaire T. Buckman
- Topics
- Metabolism and Genetic Disorders (2 papers)Adenosine and Purinergic Signaling (2 papers)Diabetes Treatment and Management (2 papers)
- Journals
- Journal of Clinical InvestigationThe Journal of Clinical Endocrinology & MetabolismAnnals of the New York Academy of Sciences
- Partner nations
- United States
In The Last Decade
Neil I. Kaminsky
12 papers receiving 779 citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Molecular Biology 271
- Endocrinology, Diabetes and Metabolism 148
- Pulmonary and Respiratory Medicine 144
- Physiology 141
- Nephrology 133
Countries citing papers authored by Neil I. Kaminsky
This map shows the geographic impact of Neil I. Kaminsky'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 Neil I. Kaminsky with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neil I. Kaminsky more than expected).
Fields of papers citing papers by Neil I. Kaminsky
This network shows the impact of papers produced by Neil I. Kaminsky. 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 Neil I. Kaminsky. The network helps show where Neil I. Kaminsky may publish in the future.
Co-authorship network of co-authors of Neil I. Kaminsky
This figure shows the co-authorship network connecting the top 25 collaborators of Neil I. Kaminsky. A scholar is included among the top collaborators of Neil I. Kaminsky 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 Neil I. Kaminsky. Neil I. Kaminsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 9 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 44 | |
| 5 | Methyldopa fever. Recurrence of symptoms with resumption of therapy. | 4 |
| 6 | 9 | |
| 7 | 122 | |
| 8 | 80 | |
| 9 | Effects of parathyroid hormone on plasma and urinary adenosine 3′,5′-monophosphate in manbreakdown → | 205 |
| 10 | 149 | |
| 11 | Kinetic parameters and renal clearances of plasma adenosine 3′,5′-monophosphate and guanosine 3′,5′-monophosphate in manbreakdown → | 212 |
| 12 | 1 | |
| 13 | 23 |
About Neil I. Kaminsky
Neil I. Kaminsky is a scholar working on Physiology, Clinical Biochemistry and Developmental Neuroscience, having authored 13 papers that have together received 866 indexed citations. Recurring topics across this work include Metabolism and Genetic Disorders (2 papers), Adenosine and Purinergic Signaling (2 papers) and Diabetes Treatment and Management (2 papers). The work is most often cited by research in Physiology (132 citations), Nephrology (133 citations) and Endocrinology, Diabetes and Metabolism (148 citations). Neil I. Kaminsky has collaborated with scholars based in United States. Frequent co-authors include Arthur E. Broadus, Grant W. Liddle, Joel G. Hardman, Earl W. Sutherland, John H. Ball, Robert C. Northcutt, Martin J. Conway, Maire T. Buckman, Glenn T. Peake and Jack W. C. Hagstrom. Their work appears in journals such as Journal of Clinical Investigation, The Journal of Clinical Endocrinology & Metabolism and Annals of the New York Academy of Sciences.
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.