Wayne L. Cody

75 papers receiving 1.4k citations

Peers

Wayne L. Cody
Comparison fields: 5 of 90
  • Endocrine and Autonomic Systems 111
  • Organic Chemistry 447
  • Cellular and Molecular Neuroscience 267
  • Physiology 353
  • Molecular Biology 901
Replace Thomas W von Geldern with:
Thomas W von Geldern United States
Richard Saperstein United States
Antonio C.M. Paiva Brazil
Michael Czarniecki United States
Charles B. Glaser United States
Toshiaki Mase Japan
John D. Elliott United States
Suzanne Moreland United States
Robert J. DeVita United States
Yuanjun He United States
Wayne L. Cody relative to Thomas W von Geldern United States Thomas W von Geldern's profile →
Citations per field
00.5×2.6×
Thomas W von Geldern · 1×
Citations per year

Countries citing papers authored by Wayne L. Cody

Since Specialization
Citations

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

Fields of papers citing papers by Wayne L. Cody

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Wayne L. Cody, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Wayne L. Cody Line = papers co-authored together Wayne L. Cody links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004112
2 199784
3 199276
4 199363
5 199356
6 200651
7
Melanotropins structural conformational and biological considerations in the development of superpotent and superprolonged analogs
198450
8 199849
9 200048
10 198545
11 199344
12 200043
13 199640
14 199539
15 199436
16 199036
17 200635
18 199433
19 199527
20 199527

About Wayne L. Cody

Wayne L. Cody is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Organic Chemistry and Cardiology and Cardiovascular Medicine, having authored 77 papers that have together received 1.6k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (23 papers), Chemical Synthesis and Analysis (23 papers), Nitric Oxide and Endothelin Effects (21 papers), Neuropeptides and Animal Physiology (12 papers), Renin-Angiotensin System Studies (7 papers), Peptidase Inhibition and Analysis (6 papers), Click Chemistry and Applications (6 papers) and Biochemical Analysis and Sensing Techniques (6 papers). The work is most often cited by research in Endocrine and Autonomic Systems (111 citations), Organic Chemistry (447 citations), Cellular and Molecular Neuroscience (267 citations), Physiology (353 citations) and Molecular Biology (901 citations). Wayne L. Cody has collaborated with scholars based in United States, Brazil and Czechia. Frequent co-authors include Annette M. Doherty, Victor J. Hruby, John X. He, Mac E. Hadley, Stephen T. Rapundalo, Jeremy J. Edmunds, Tomi K. Sawyer, Ana Maria de Lauro Castrucci, Stephen J. Haleen and Brian C. Wilkes. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Peptides, Bioorganic & Medicinal Chemistry and Journal of Cardiovascular Pharmacology.

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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