Edward V. Lis

22 papers receiving 1.1k citations

Peers

Edward V. Lis
Comparison fields: 5 of 86
  • Cellular and Molecular Neuroscience 400
  • Endocrine and Autonomic Systems 105
  • Physiology 388
  • Cardiology and Cardiovascular Medicine 207
  • Small Animals 69
Replace James A. Weyhenmeyer with:
James A. Weyhenmeyer United States
A.D. Michel United Kingdom
Joshua G. Jackson United States
Pierre Demenge France
Yojiro Ukai Japan
Elena Conte Italy
Timothy D. Westfall United States
Duane R. Reiss United States
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Edward V. Lis relative to James A. Weyhenmeyer United States James A. Weyhenmeyer's profile →
Citations per field
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James A. Weyhenmeyer · 1×
Citations per year

Countries citing papers authored by Edward V. Lis

Since Specialization
Citations

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

Fields of papers citing papers by Edward V. Lis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Edward V. Lis. 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 Edward V. Lis. The network helps show where Edward V. Lis may publish in the future.

Co-authors

The 25 scholars most cited alongside Edward V. Lis, 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 Edward V. Lis Line = papers co-authored together Edward V. Lis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1991339
2 2003140
3 2002112
4 1988111
5 201658
6 199551
7 199846
8 201042
9 199531
10 201630
11 199322
12 200419
13 199018
14 201617
15 199913
16 201410
17 19909
18 19989
19 19967
20 19966

About Edward V. Lis

Edward V. Lis is a scholar working on Social Psychology, Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine and Spectroscopy, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Neuroendocrine regulation and behavior (11 papers), Organic and Inorganic Chemical Reactions (5 papers), Receptor Mechanisms and Signaling (5 papers), Cardiac electrophysiology and arrhythmias (3 papers), Nitric Oxide and Endothelin Effects (3 papers), Chemical Reaction Mechanisms (3 papers), Neurological disorders and treatments (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (400 citations), Endocrine and Autonomic Systems (105 citations), Physiology (388 citations), Cardiology and Cardiovascular Medicine (207 citations) and Small Animals (69 citations). Edward V. Lis has collaborated with scholars based in United States and Belgium. Frequent co-authors include Douglas J. Pettibone, Bradley V. Clineschmidt, David L. Williams, Kathryn Jones, Duane R. Reiss, Anthony G. DiLella, Michael J. Marino, Ornella Valenti, Marion Wittmann and Gene G. Kinney. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, European Journal of Pharmacology and Biochemical and Biophysical Research Communications.

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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