Michael A. Wynalda

34 total papers · 2.0k total citations
33 papers, 1.7k citations indexed

About

Michael A. Wynalda is a scholar working on Pharmacology, Molecular Biology and Pharmacology. According to data from OpenAlex, Michael A. Wynalda has authored 33 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Pharmacology, 10 papers in Molecular Biology and 8 papers in Pharmacology. Recurrent topics in Michael A. Wynalda's work include Inflammatory mediators and NSAID effects (9 papers), Pharmacogenetics and Drug Metabolism (8 papers) and Eicosanoids and Hypertension Pharmacology (6 papers). Michael A. Wynalda is often cited by papers focused on Inflammatory mediators and NSAID effects (9 papers), Pharmacogenetics and Drug Metabolism (8 papers) and Eicosanoids and Hypertension Pharmacology (6 papers). Michael A. Wynalda collaborates with scholars based in United States. Michael A. Wynalda's co-authors include F.A. Fitzpatrick, F.A. Fitzpatrick, Larry C. Wienkers, Douglas R. Morton, W. F. LIGGETT, M J Hauer, Robert R. Gorman, Robert C. Kelly, Michael D. Ennis and J McGee and has published in prestigious journals such as Journal of Biological Chemistry, Analytical Chemistry and Biochemistry.

In The Last Decade

Michael A. Wynalda

33 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Michael A. Wynalda 606 508 348 252 250 33 1.7k
Krister Gréen 801 1.3× 350 0.7× 354 1.0× 150 0.6× 236 0.9× 39 1.6k
F.F. Sun 777 1.3× 521 1.0× 568 1.6× 169 0.7× 459 1.8× 48 2.0k
C S Ramesha 728 1.2× 637 1.3× 344 1.0× 143 0.6× 221 0.9× 27 1.8k
P.J. De Schepper 681 1.1× 681 1.3× 235 0.7× 283 1.1× 325 1.3× 53 2.0k
Sven Hammarström 330 0.5× 819 1.6× 316 0.9× 116 0.5× 402 1.6× 42 1.8k
D. Aures 447 0.7× 642 1.3× 208 0.6× 151 0.6× 187 0.7× 51 1.8k
Edward A. Ham 590 1.0× 512 1.0× 287 0.8× 118 0.5× 325 1.3× 29 1.8k
Lauren M. Cagen 394 0.7× 734 1.4× 383 1.1× 118 0.5× 325 1.3× 47 1.8k
Douglas R. Morton 575 0.9× 465 0.9× 345 1.0× 124 0.5× 656 2.6× 41 2.1k
C.N. Hensby 618 1.0× 313 0.6× 247 0.7× 136 0.5× 164 0.7× 73 1.6k

Countries citing papers authored by Michael A. Wynalda

Since Specialization
Citations

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

Fields of papers citing papers by Michael A. Wynalda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael A. Wynalda. 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 Michael A. Wynalda. The network helps show where Michael A. Wynalda may publish in the future.

Co-authorship network of co-authors of Michael A. Wynalda

This figure shows the co-authorship network connecting the top 25 collaborators of Michael A. Wynalda. A scholar is included among the top collaborators of Michael A. Wynalda 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 Michael A. Wynalda. Michael A. Wynalda 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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