G.J. Brunn

1.6k total citations · 1 hit paper
8 papers, 1.1k citations indexed

About

G.J. Brunn is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, G.J. Brunn has authored 8 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Oncology and 2 papers in Immunology. Recurrent topics in G.J. Brunn's work include Signaling Pathways in Disease (4 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Toxin Mechanisms and Immunotoxins (2 papers). G.J. Brunn is often cited by papers focused on Signaling Pathways in Disease (4 papers), Cytokine Signaling Pathways and Interactions (2 papers) and Toxin Mechanisms and Immunotoxins (2 papers). G.J. Brunn collaborates with scholars based in United States, Sweden and Vietnam. G.J. Brunn's co-authors include Greg Wiederrecht, Robert T. Abraham, John C. Lawrence, Candace J. Sabers, William G. Morice, John J. Siekierka, Susan M. Pond, Daniel E. Keyler, Gianrico Farrugia and Michael Camilleri and has published in prestigious journals such as Journal of Biological Chemistry, The EMBO Journal and European Heart Journal.

In The Last Decade

G.J. Brunn

8 papers receiving 1.1k citations

Hit Papers

Direct inhibition of the signaling functions of the mamma... 1996 2026 2006 2016 1996 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
G.J. Brunn United States 8 800 214 162 97 93 8 1.1k
Prince George United States 6 945 1.2× 162 0.8× 142 0.9× 76 0.8× 77 0.8× 9 1.2k
Yasunori Yokota Japan 16 573 0.7× 204 1.0× 79 0.5× 145 1.5× 67 0.7× 19 956
Laure Voisin Canada 14 784 1.0× 121 0.6× 159 1.0× 164 1.7× 87 0.9× 24 1.1k
Rongqing Guo United States 8 816 1.0× 231 1.1× 450 2.8× 75 0.8× 142 1.5× 9 1.4k
Yasuko Nishizawa Japan 19 444 0.6× 184 0.9× 233 1.4× 66 0.7× 189 2.0× 53 1.1k
Jennifer C. Byrne Ireland 17 464 0.6× 261 1.2× 111 0.7× 52 0.5× 69 0.7× 26 927
Amnon Altman United States 11 836 1.0× 551 2.6× 274 1.7× 113 1.2× 192 2.1× 16 1.5k
Pietro Pozzi Italy 10 762 1.0× 273 1.3× 263 1.6× 33 0.3× 111 1.2× 13 1.1k
Ulrich Sauer Germany 17 560 0.7× 90 0.4× 119 0.7× 106 1.1× 166 1.8× 22 1.1k
Melissa Dobson United Kingdom 10 735 0.9× 92 0.4× 167 1.0× 75 0.8× 128 1.4× 17 1.1k

Countries citing papers authored by G.J. Brunn

Since Specialization
Citations

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

Fields of papers citing papers by G.J. Brunn

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of G.J. Brunn

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

All Works

8 of 8 papers shown
1.
Bharucha, Adil E., Amit Kulkarni, Kyung Mook Choi, et al.. (2009). First-in-Human Study Demonstrating Pharmacological Activation of Heme Oxygenase-1 in Humans. Clinical Pharmacology & Therapeutics. 87(2). 187–190. 68 indexed citations
2.
Kushwaha, Sudhir S., Eugenia Raichlin, Yuri Sheinin, et al.. (2008). Sirolimus affects cardiomyocytes to reduce left ventricular mass in heart transplant recipients. European Heart Journal. 29(22). 2742–2750. 43 indexed citations
3.
Brunn, G.J., et al.. (1996). Direct inhibition of the signaling functions of the mammalian target of rapamycin by the phosphoinositide 3-kinase inhibitors, wortmannin and LY294002.. The EMBO Journal. 15(19). 5256–5267. 633 indexed citations breakdown →
4.
Brunn, G.J., Abdul H. Fauq, Sek C. Chow, et al.. (1994). Cellular pharmacology ofd-3-azido-3-deoxy-myo-inositol, an inhibitor of phosphatidylinositol signaling having antiproliferative activity. Cancer Chemotherapy and Pharmacology. 35(1). 71–79. 13 indexed citations
5.
Morice, William G., G.J. Brunn, Greg Wiederrecht, John J. Siekierka, & Robert T. Abraham. (1993). Rapamycin-induced inhibition of p34cdc2 kinase activation is associated with G1/S-phase growth arrest in T lymphocytes.. Journal of Biological Chemistry. 268(5). 3734–3738. 151 indexed citations
6.
Morice, William G., Greg Wiederrecht, G.J. Brunn, John J. Siekierka, & Robert T. Abraham. (1993). Rapamycin inhibition of interleukin-2-dependent p33cdk2 and p34cdc2 kinase activation in T lymphocytes.. Journal of Biological Chemistry. 268(30). 22737–22745. 123 indexed citations
7.
Brunn, G.J., Daniel E. Keyler, Susan M. Pond, & P.R. Pentel. (1992). Reversal of desipramine toxicity in rats using drug-specific antibody Fab' fragment: effects on hypotension and interaction with sodium bicarbonate.. Journal of Pharmacology and Experimental Therapeutics. 260(3). 1392–1399. 33 indexed citations
8.
Pentel, Paul R., et al.. (1991). Redistribution of tricyclic antidepressants in rats using a drug-specific monoclonal antibody: dose-response relationship.. Drug Metabolism and Disposition. 19(1). 24–28. 21 indexed citations

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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