Morton P. Printz
- Molecular Biology top 5%
- Cardiology and Cardiovascular Medicine top 1%
- Physiology top 5%
- Cellular and Molecular Neuroscience top 2%
- Endocrinology, Diabetes and Metabolism top 2%
- Co-authors
- Dennis P. HealyGeorge NémethyLyman C. CraigThomas RuzickaRichard E. GalardyWilliam F. FriedmanStanley E. KirkpatrickWolfgang Dillmann
- Topics
- Renin-Angiotensin System Studies (28 papers)Receptor Mechanisms and Signaling (23 papers)Adipose Tissue and Metabolism (19 papers)
- Cited by
- Behavioral NeuroscienceCardiology and Cardiovascular MedicineEndocrine and Autonomic Systems
- Partner nations
- United StatesCzechiaGermany
In The Last Decade
Morton P. Printz
155 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 145
- Molecular Biology 2.4k
- Cardiology and Cardiovascular Medicine 1.4k
- Physiology 738
- Cellular and Molecular Neuroscience 675
- Endocrinology, Diabetes and Metabolism 505
Countries citing papers authored by Morton P. Printz
This map shows the geographic impact of Morton P. Printz'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 Morton P. Printz with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Morton P. Printz more than expected).
Fields of papers citing papers by Morton P. Printz
This network shows the impact of papers produced by Morton P. Printz. 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 Morton P. Printz. The network helps show where Morton P. Printz may publish in the future.
Co-authorship network of co-authors of Morton P. Printz
This figure shows the co-authorship network connecting the top 25 collaborators of Morton P. Printz. A scholar is included among the top collaborators of Morton P. Printz 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 Morton P. Printz. Morton P. Printz is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 61 | |
| 2 | 28 | |
| 3 | 33 | |
| 4 | 18 | |
| 5 | 55 | |
| 6 | 6 | |
| 7 | 22 | |
| 8 | 16 | |
| 9 | 5 | |
| 10 | 184 | |
| 11 | 2 | |
| 12 | 23 | |
| 13 | 154 | |
| 14 | 39 | |
| 15 | 18 | |
| 16 | 5 | |
| 17 | 33 | |
| 18 | 46 | |
| 19 | Angiotensin II binding to cultured bovine adrenal chromaffin cells: identification of angiotensin II receptors | 2 |
| 20 | 34 |
About Morton P. Printz
Morton P. Printz is a scholar working on Behavioral Neuroscience, Cardiology and Cardiovascular Medicine and Physiology, having authored 155 papers that have together received 5.2k indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (28 papers), Receptor Mechanisms and Signaling (23 papers) and Adipose Tissue and Metabolism (19 papers). The work is most often cited by research in Behavioral Neuroscience (340 citations), Cardiology and Cardiovascular Medicine (1.4k citations) and Endocrine and Autonomic Systems (341 citations). Morton P. Printz has collaborated with scholars based in United States, Czechia and Germany. Frequent co-authors include Dennis P. Healy, George Némethy, Lyman C. Craig, Thomas Ruzicka, Richard E. Galardy, William F. Friedman, Stanley E. Kirkpatrick, Wolfgang Dillmann, Francisco Villarreal and Michael J. Hirschklau. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and The Lancet.
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.