George Dubyak

19.9k total citations · 7 hit papers
198 papers, 16.5k citations indexed

About

George Dubyak is a scholar working on Molecular Biology, Physiology and Immunology. According to data from OpenAlex, George Dubyak has authored 198 papers receiving a total of 16.5k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Molecular Biology, 85 papers in Physiology and 34 papers in Immunology. Recurrent topics in George Dubyak's work include Adenosine and Purinergic Signaling (83 papers), Inflammasome and immune disorders (38 papers) and Neuroscience of respiration and sleep (16 papers). George Dubyak is often cited by papers focused on Adenosine and Purinergic Signaling (83 papers), Inflammasome and immune disorders (38 papers) and Neuroscience of respiration and sleep (16 papers). George Dubyak collaborates with scholars based in United States, Russia and China. George Dubyak's co-authors include Chakib El-Moatassim, Gabriel Núñez, Benjamin D. Humphreys, Yan Qu, J. Michelle Kahlenberg, Arnošt Kleinzeller, Michael Katsnelson, Luigi Franchi, Sylvia B. Kertesy and Eric Pearlman and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

George Dubyak

197 papers receiving 16.2k citations

Hit Papers

Signal transduction via P2-purinergic receptors for extra... 1980 2026 1995 2010 1993 1994 1989 2018 1980 250 500 750 1000

Peers

George Dubyak
Comparison fields: 5 of 143
  • Molecular Biology 8.9k
  • Physiology 5.6k
  • Immunology 3.8k
  • Physiology 1.9k
  • Endocrine and Autonomic Systems 1.5k
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Citations per field, relative to George Dubyak
George Dubyak · 1×
Citations per year, relative to George Dubyak
George Dubyak · 1×

Countries citing papers authored by George Dubyak

Since Specialization
Citations

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

Fields of papers citing papers by George Dubyak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Dubyak

This figure shows the co-authorship network connecting the top 25 collaborators of George Dubyak. A scholar is included among the top collaborators of George Dubyak 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 George Dubyak. George Dubyak is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 2
2 1
3 4
4 0
5 38
6 33
7 17
8 129
9 150
10
Chemical disruption of the pyroptotic pore-forming protein gasdermin D inhibits inflammatory cell death and sepsis breakdown →
460
11 77
12 88
13
P2X7 Receptor-dependent Secretion of IL-1beta is Mediated by Exocytosis of Secretory Lysosomes
2
14 101
15 177
16 44
17 154
18 163
19 43
20
Modulation of cytosolic free calcium by serum and phorbol myristate acetate in cultured rat mesangial cells
1

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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