George J. Grega

33 papers receiving 578 citations

Peers

George J. Grega
Comparison fields: 5 of 82
  • Physiology 210
  • Genetics 69
  • Cellular and Molecular Neuroscience 114
  • Biochemistry 43
  • Endocrine and Autonomic Systems 35
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Tor Skärby Sweden
M. B. Vallotton Switzerland
Masahiro Okazaki Japan
Sara F. Rabito United States
Jeff C. Falcone United States
Bernadette Pignol France
Francesca Tullio Italy
Ben R. Clower United States
Yuji Taoka Japan
Casilde Sesti United States
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Citations per year

Countries citing papers authored by George J. Grega

Since Specialization
Citations

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

Fields of papers citing papers by George J. Grega

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by George J. Grega. 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 George J. Grega. The network helps show where George J. Grega may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197983
2 197867
3 198259
4 196848
5 198242
6
Evidence that prolonged histamine suffusions produce transient increases in vascular permeability subsequent to the formation of venular macromolecular leakage sites. Proof of the Majno-Palade hypothesis.
198634
7 198128
8 198028
9 196927
10 197825
11 198625
12 197920
13
The role of venular endothelial cells in the regulation of macromolecular permeability.
198820
14 198017
15 197016
16 197115
17 197812
18 198212
19
Effects of locally infused serotonin on canine forelimb weight and segmental vascular resistance.
197411
20 198411

About George J. Grega

George J. Grega is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Immunology, Physiology and Genetics, having authored 34 papers that have together received 681 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (12 papers), Neuropeptides and Animal Physiology (11 papers), Mast cells and histamine (8 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (5 papers), Neuroendocrine regulation and behavior (4 papers), Nitric Oxide and Endothelin Effects (3 papers), Pharmacology and Obesity Treatment (3 papers) and Heart Rate Variability and Autonomic Control (3 papers). The work is most often cited by research in Physiology (210 citations), Genetics (69 citations), Cellular and Molecular Neuroscience (114 citations), Biochemistry (43 citations) and Endocrine and Autonomic Systems (35 citations). George J. Grega has collaborated with scholars based in United States, India and Sweden. Frequent co-authors include Erik Svensjö, Richard M. Raymond, Bengt Rippe, K. E. Arfors, Joseph P. Buckley, James J. Maciejko, I. Erjefält, Francis J. Haddy, C. G. A. Persson and Robert J. Woods. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Circulation Research, American Journal of Physiology-Heart and Circulatory Physiology, Microvascular Research and Experimental Biology and Medicine.

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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