Wayne Kaesemeyer

29 total papers · 833 total citations
16 papers, 615 citations indexed

About

Wayne Kaesemeyer is a scholar working on Cardiology and Cardiovascular Medicine, Physiology and Biochemistry. According to data from OpenAlex, Wayne Kaesemeyer has authored 16 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Cardiology and Cardiovascular Medicine, 8 papers in Physiology and 4 papers in Biochemistry. Recurrent topics in Wayne Kaesemeyer's work include Nitric Oxide and Endothelin Effects (8 papers), Eicosanoids and Hypertension Pharmacology (4 papers) and Hormonal Regulation and Hypertension (3 papers). Wayne Kaesemeyer is often cited by papers focused on Nitric Oxide and Endothelin Effects (8 papers), Eicosanoids and Hypertension Pharmacology (4 papers) and Hormonal Regulation and Hypertension (3 papers). Wayne Kaesemeyer collaborates with scholars based in United States, Germany and Czechia. Wayne Kaesemeyer's co-authors include Robert W. Caldwell, Ruth B. Caldwell, Jianzhong Huang, Liming Jin, G. Abou-Mohamed, Vadivel Ganapathy, J. A. Johnson, Azza B. El‐Remessy, John O. Parker and Christine Maric and has published in prestigious journals such as Circulation, Journal of the American College of Cardiology and Journal of Pharmacology and Experimental Therapeutics.

In The Last Decade

Wayne Kaesemeyer

16 papers receiving 598 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Wayne Kaesemeyer	254	222	191	114	108	16	615
Leslie Cunningham	274 1.1×	208 0.9×	175 0.9×	82 0.7×	90 0.8×	9	596
Tarec K. Elajami	107 0.4×	145 0.7×	162 0.8×	102 0.9×	136 1.3×	32	691
Yoichi Miwa	161 0.6×	242 1.1×	159 0.8×	126 1.1×	45 0.4×	18	547
Dustan A. Barber	237 0.9×	174 0.8×	133 0.7×	156 1.4×	42 0.4×	20	664
C. Thevenon	120 0.5×	125 0.6×	151 0.8×	114 1.0×	67 0.6×	17	635
Navin Kumar Thakur	149 0.6×	175 0.8×	235 1.2×	113 1.0×	41 0.4×	11	598
K Numaguchi	360 1.4×	437 2.0×	70 0.4×	129 1.1×	91 0.8×	11	638
L Zonnekeyn	389 1.5×	286 1.3×	135 0.7×	119 1.0×	127 1.2×	13	627
Willem Erkelens	376 1.5×	298 1.3×	108 0.6×	108 0.9×	131 1.2×	6	686
Joshua Astern	276 1.1×	154 0.7×	82 0.4×	174 1.5×	72 0.7×	12	618

Countries citing papers authored by Wayne Kaesemeyer

Since Specialization

Citations

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

Fields of papers citing papers by Wayne Kaesemeyer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wayne Kaesemeyer. 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 Wayne Kaesemeyer. The network helps show where Wayne Kaesemeyer may publish in the future.

Co-authorship network of co-authors of Wayne Kaesemeyer

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

All Works

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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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