Velga A. Kenigs

21 total papers · 669 total citations
18 papers, 566 citations indexed

About

Velga A. Kenigs is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Surgery. According to data from OpenAlex, Velga A. Kenigs has authored 18 papers receiving a total of 566 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Cellular and Molecular Neuroscience, 12 papers in Molecular Biology and 5 papers in Surgery. Recurrent topics in Velga A. Kenigs's work include Neuropeptides and Animal Physiology (15 papers), Receptor Mechanisms and Signaling (11 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (5 papers). Velga A. Kenigs is often cited by papers focused on Neuropeptides and Animal Physiology (15 papers), Receptor Mechanisms and Signaling (11 papers) and Cardiovascular, Neuropeptides, and Oxidative Stress Research (5 papers). Velga A. Kenigs collaborates with scholars based in United States, Brazil and Italy. Velga A. Kenigs's co-authors include Daniel R. Kapusta, Sena F. Sezen, Jaw‐Kang Chang, Howard Lippton, Kurt J. Varner, James E. Zadina, Helmut Gottlieb, Wei He, Kristen Chevalier and PR Wade and has published in prestigious journals such as Journal of Pharmacology and Experimental Therapeutics, British Journal of Pharmacology and Life Sciences.

In The Last Decade

Velga A. Kenigs

18 papers receiving 551 citations

Author Peers

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

Author Last Decade Papers Cites
Velga A. Kenigs 406 332 146 95 76 18 566
Mark A. Osinski 287 0.7× 274 0.8× 136 0.9× 152 1.6× 116 1.5× 31 657
Giuseppe De 361 0.9× 242 0.7× 72 0.5× 184 1.9× 34 0.4× 29 684
Alberto Meli 297 0.7× 186 0.6× 198 1.4× 60 0.6× 31 0.4× 16 601
R.H. Albuquerque 420 1.0× 219 0.7× 79 0.5× 209 2.2× 90 1.2× 16 573
Vincenzo Somma 331 0.8× 180 0.5× 197 1.3× 43 0.5× 16 0.2× 16 520
R. T. Mason 299 0.7× 221 0.7× 122 0.8× 63 0.7× 7 0.1× 23 596
M. Schimiczek 355 0.9× 167 0.5× 120 0.8× 125 1.3× 23 0.3× 20 637
S.G. Griffith 249 0.6× 156 0.5× 245 1.7× 86 0.9× 106 1.4× 11 693
T.W. Smith 333 0.8× 239 0.7× 318 2.2× 61 0.6× 35 0.5× 25 630
Teresa Olivar 148 0.4× 179 0.5× 234 1.6× 55 0.6× 93 1.2× 18 581

Countries citing papers authored by Velga A. Kenigs

Since Specialization
Citations

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

Fields of papers citing papers by Velga A. Kenigs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Velga A. Kenigs

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