Brian T. Kawasaki

1.6k total citations
15 papers, 1.3k citations indexed

About

Brian T. Kawasaki is a scholar working on Molecular Biology, Oncology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Brian T. Kawasaki has authored 15 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 7 papers in Oncology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Brian T. Kawasaki's work include Cancer Cells and Metastasis (4 papers), Ion Channels and Receptors (3 papers) and Prostate Cancer Treatment and Research (3 papers). Brian T. Kawasaki is often cited by papers focused on Cancer Cells and Metastasis (4 papers), Ion Channels and Receptors (3 papers) and Prostate Cancer Treatment and Research (3 papers). Brian T. Kawasaki collaborates with scholars based in United States, Uruguay and South Korea. Brian T. Kawasaki's co-authors include William L. Farrar, Elaine M. Hurt, George J. Klarmann, Suneetha B. Thomas, Lutz Birnbaumer, Madhuri Kalathur, Barbara J. Wedel, Gary S. Bird, James W. Putney and Guillermo Vázquez and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Cancer Research.

In The Last Decade

Brian T. Kawasaki

15 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian T. Kawasaki United States 15 693 543 243 197 195 15 1.3k
Youyi Dong Japan 27 806 1.2× 405 0.7× 243 1.0× 141 0.7× 76 0.4× 42 1.7k
Péter Ács United States 26 969 1.4× 451 0.8× 282 1.2× 180 0.9× 111 0.6× 42 2.1k
Amelia A. Peters Australia 17 656 0.9× 302 0.6× 237 1.0× 54 0.3× 203 1.0× 32 1.4k
Shengyu Yang United States 13 714 1.0× 196 0.4× 120 0.5× 120 0.6× 94 0.5× 18 1.2k
Syn Kok Yeo United States 19 865 1.2× 335 0.6× 392 1.6× 117 0.6× 125 0.6× 29 1.4k
Antonio Chiloeches Spain 19 1.1k 1.6× 412 0.8× 193 0.8× 119 0.6× 94 0.5× 31 1.5k
Linda Henneman Netherlands 10 505 0.7× 325 0.6× 128 0.5× 197 1.0× 59 0.3× 16 914
Mohamad Elbaz United States 13 558 0.8× 264 0.5× 332 1.4× 201 1.0× 167 0.9× 15 1.2k
Albina Nesterova United States 14 995 1.4× 603 1.1× 187 0.8× 278 1.4× 112 0.6× 24 1.9k
Simone Polvani Italy 19 950 1.4× 173 0.3× 212 0.9× 85 0.4× 112 0.6× 38 1.4k

Countries citing papers authored by Brian T. Kawasaki

Since Specialization
Citations

This map shows the geographic impact of Brian T. Kawasaki'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 Brian T. Kawasaki with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Brian T. Kawasaki more than expected).

Fields of papers citing papers by Brian T. Kawasaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian T. Kawasaki. 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 Brian T. Kawasaki. The network helps show where Brian T. Kawasaki may publish in the future.

Co-authorship network of co-authors of Brian T. Kawasaki

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

All Works

15 of 15 papers shown
1.
Volate, Suresh R., Brian T. Kawasaki, Elaine M. Hurt, et al.. (2010). Gossypol Induces Apoptosis by Activating p53 in Prostate Cancer Cells and Prostate Tumor–Initiating Cells. Molecular Cancer Therapeutics. 9(2). 461–470. 82 indexed citations
2.
Kawasaki, Brian T., Elaine M. Hurt, Madhuri Kalathur, et al.. (2009). Effects of the sesquiterpene lactone parthenolide on prostate tumor‐initiating cells: An integrated molecular profiling approach. The Prostate. 69(8). 827–837. 86 indexed citations
3.
Qin, Haiyan, Han‐Jong Kim, Joon‐Young Kim, et al.. (2008). Activation of Signal Transducer and Activator of Transcription 3 through a Phosphomimetic Serine 727 Promotes Prostate Tumorigenesis Independent of Tyrosine 705 Phosphorylation. Cancer Research. 68(19). 7736–7741. 117 indexed citations
4.
Kawasaki, Brian T. & William L. Farrar. (2008). Cancer stem cells, CD200 and immunoevasion. Trends in Immunology. 29(10). 464–468. 90 indexed citations
5.
Kawasaki, Brian T., et al.. (2008). Targeting Cancer Stem Cells with Phytochemicals. Molecular Interventions. 8(4). 174–184. 99 indexed citations
6.
Hurt, Elaine M., Brian T. Kawasaki, George J. Klarmann, Suneetha B. Thomas, & William L. Farrar. (2008). CD44+CD24− prostate cells are early cancer progenitor/stem cells that provide a model for patients with poor prognosis. British Journal of Cancer. 98(4). 756–765. 354 indexed citations
7.
Kawasaki, Brian T., et al.. (2007). Co-expression of the toleragenic glycoprotein, CD200, with markers for cancer stem cells. Biochemical and Biophysical Research Communications. 364(4). 778–782. 88 indexed citations
8.
Kawasaki, Brian T., Yanhong Liao, & Lutz Birnbaumer. (2006). Role of Src in C3 transient receptor potential channel function and evidence for a heterogeneous makeup of receptor- and store-operated Ca 2+ entry channels. Proceedings of the National Academy of Sciences. 103(2). 335–340. 73 indexed citations
9.
Sharifi, Nima, Elaine M. Hurt, Brian T. Kawasaki, & William L. Farrar. (2006). TGFBR3 loss and consequences in prostate cancer. The Prostate. 67(3). 301–311. 53 indexed citations
10.
Sharifi, Nima, Brian T. Kawasaki, & Elaine M. Hurt. (2006). Stem cells in prostate cancer: Resolving the castrate-resistant conundrum and implications for hormonal therapy. Cancer Biology & Therapy. 5(8). 901–906. 35 indexed citations
11.
Yildirim, Eda, Brian T. Kawasaki, & Lutz Birnbaumer. (2005). Molecular cloning of TRPC3a, an N-terminally extended, store-operated variant of the human C3 transient receptor potential channel. Proceedings of the National Academy of Sciences. 102(9). 3307–3311. 31 indexed citations
12.
Vázquez, Guillermo, Barbara J. Wedel, Brian T. Kawasaki, Gary S. Bird, & James W. Putney. (2004). Obligatory Role of Src Kinase in the Signaling Mechanism for TRPC3 Cation Channels. Journal of Biological Chemistry. 279(39). 40521–40528. 130 indexed citations
13.
Brown, Queenie B., et al.. (2002). Peptidyl α‐keto amide inhibitor of calpain blocks excitotoxic damage without affecting signal transduction events. Journal of Neuroscience Research. 67(6). 787–794. 19 indexed citations
14.
Kawasaki, Brian T., Keith B. Hoffman, Robert S. Yamamoto, & Ben A. Bahr. (1997). Variants of the receptor/channel clustering molecule gephyrin in brain: Distinct distribution patterns, developmental profiles, and proteolytic cleavage by calpain. Journal of Neuroscience Research. 49(3). 381–388. 26 indexed citations
15.
Bahr, Ben A., Keith B. Hoffman, Markus Kessler, et al.. (1996). Distinct distributions of α-amino-3-hydroxy-5-methyl-4-isoxazolepropionate (AMPA) receptor subunits and a related 53,000 Mr antigen (GR53) in brain tissue. Neuroscience. 74(3). 707–721. 27 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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