Mary Pat Kunert

791 citations
22 papers · 653 indexed · h-index 15
Topics
Nitric Oxide and Endothelin Effects (11 papers)Renin-Angiotensin System Studies (6 papers)Eicosanoids and Hypertension Pharmacology (5 papers)
Partner nations
United StatesCroatia

In The Last Decade

Mary Pat Kunert

22 papers receiving 643 citations

Peers

Mary Pat Kunert
Comparison fields: 5 of 84
  • Physiology 210
  • Cardiology and Cardiovascular Medicine 183
  • Molecular Biology 120
  • Endocrinology, Diabetes and Metabolism 118
  • Biochemistry 114
Replace Maria Helena Catelli de Carvalho with:
Maria Helena Catelli de Carvalho Brazil
Dean J. Kleinhenz United States
Dale A. Kinzenbaw United States
Putrika Prastuti Ratna Gharini Indonesia
Seiji Umemoto Japan
Stephan Jacob Germany
Stanley S. Greenberg United States
Graham H. Allcock United Kingdom
Pablo Forte United Kingdom
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Citations per field
00.5×1.7×
Maria Helena Catelli de Carvalho · 1×
Citations per year

Countries citing papers authored by Mary Pat Kunert

Since Specialization
Citations

This map shows the geographic impact of Mary Pat Kunert'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 Mary Pat Kunert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mary Pat Kunert more than expected).

Fields of papers citing papers by Mary Pat Kunert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mary Pat Kunert. 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 Mary Pat Kunert. The network helps show where Mary Pat Kunert may publish in the future.

Co-authorship network of co-authors of Mary Pat Kunert

This figure shows the co-authorship network connecting the top 25 collaborators of Mary Pat Kunert. A scholar is included among the top collaborators of Mary Pat Kunert 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 Mary Pat Kunert. Mary Pat Kunert is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
20-hydroxyeicosatetraenoic acid, endothelial dysfunction and hypertension.
5
2 133
3 6
4 3
5 11
6 24
7
Vascular responses in cerebral resistance arteries in female Dahl S, Consomic SS-13BN and Brown Norway ratg strains
1
8 39
9 17
10 28
11 14
12 67
13 19
14 46
15 2
16 36
17 44
18 31
19 19
20 92

About Mary Pat Kunert

Mary Pat Kunert is a scholar working on Biochemistry, Physiology and Cardiology and Cardiovascular Medicine, having authored 22 papers that have together received 653 indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (11 papers), Renin-Angiotensin System Studies (6 papers) and Eicosanoids and Hypertension Pharmacology (5 papers). The work is most often cited by research in Biochemistry (114 citations), Physiology (210 citations) and Cardiology and Cardiovascular Medicine (183 citations). Mary Pat Kunert has collaborated with scholars based in United States and Croatia. Frequent co-authors include Julian H. Lombard, J. F. Liard, Ines Drenjančević, Richard J. Roman, John R. Falck, Aleksandar Kibel, Bojan Jelaković, Howard J. Jacob, Allen W. Cowley and Donald J. Abraham. Their work appears in journals such as Biochemistry, Journal of Applied Physiology and American Journal of Physiology-Heart and Circulatory Physiology.

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.

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