J Cervenka
- Molecular Biology
- Cardiology and Cardiovascular Medicine top 5%
- Cellular and Molecular Neuroscience top 10%
- Cell Biology top 10%
- Epidemiology
- Co-authors
- Robert J. ParmerDaniel T. O’ConnorRichard A. StoneM A TakiyyuddinJuan A. BarbosaBrian P. KennedyMala T. KailasamM.R. Pandian
- Topics
- Cellular transport and secretion (7 papers)Blood Pressure and Hypertension Studies (7 papers)Neuroendocrine Tumor Research Advances (5 papers)
- Partner nations
- United StatesMexicoGermany
In The Last Decade
J Cervenka
27 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 94
- Molecular Biology 391
- Cardiology and Cardiovascular Medicine 347
- Cellular and Molecular Neuroscience 213
- Cell Biology 195
- Epidemiology 170
Countries citing papers authored by J Cervenka
This map shows the geographic impact of J Cervenka'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 J Cervenka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J Cervenka more than expected).
Fields of papers citing papers by J Cervenka
This network shows the impact of papers produced by J Cervenka. 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 J Cervenka. The network helps show where J Cervenka may publish in the future.
Co-authorship network of co-authors of J Cervenka
This figure shows the co-authorship network connecting the top 25 collaborators of J Cervenka. A scholar is included among the top collaborators of J Cervenka 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 J Cervenka. J Cervenka is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 92 | |
| 3 | 64 | |
| 4 | 53 | |
| 5 | Effects of an oral prostaglandin E1 agonist on blood pressure and its determinants in essential hypertension. | 8 |
| 6 | 21 | |
| 7 | 132 | |
| 8 | 26 | |
| 9 | 34 | |
| 10 | 46 | |
| 11 | 83 | |
| 12 | Circulating chromogranin A as a diagnostic tool in clinical chemistry. | 6 |
| 13 | 93 | |
| 14 | 48 | |
| 15 | 7 | |
| 16 | 7 | |
| 17 | 4 | |
| 18 | Guanabenz selectively reduces renal vascular resistance in essential hypertension | 2 |
| 19 | Mechanism of action of hydro chlorothiazide and guanabenz | 1 |
| 20 | Malformation syndromes. A selected miscellany. | 56 |
About J Cervenka
J Cervenka is a scholar working on Behavioral Neuroscience, Endocrine and Autonomic Systems and Cardiology and Cardiovascular Medicine, having authored 27 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cellular transport and secretion (7 papers), Blood Pressure and Hypertension Studies (7 papers) and Neuroendocrine Tumor Research Advances (5 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (347 citations), Behavioral Neuroscience (48 citations) and Cell Biology (195 citations). J Cervenka has collaborated with scholars based in United States, Mexico and Germany. Frequent co-authors include Robert J. Parmer, Daniel T. O’Connor, Richard A. Stone, M A Takiyyuddin, Juan A. Barbosa, Brian P. Kennedy, Mala T. Kailasam, M.R. Pandian, Michael G. Ziegler and Ruth Hsiao. Their work appears in journals such as Circulation, The Journal of Clinical Endocrinology & Metabolism and Kidney International.
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.