Brenda Kusler

1.1k total citations · 1 hit paper
9 papers, 851 citations indexed

About

Brenda Kusler is a scholar working on Molecular Biology, Pathology and Forensic Medicine and Hematology. According to data from OpenAlex, Brenda Kusler has authored 9 papers receiving a total of 851 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 2 papers in Pathology and Forensic Medicine and 2 papers in Hematology. Recurrent topics in Brenda Kusler's work include Acute Myeloid Leukemia Research (2 papers), Immune Response and Inflammation (2 papers) and Ubiquitin and proteasome pathways (2 papers). Brenda Kusler is often cited by papers focused on Acute Myeloid Leukemia Research (2 papers), Immune Response and Inflammation (2 papers) and Ubiquitin and proteasome pathways (2 papers). Brenda Kusler collaborates with scholars based in United States, Canada and Finland. Brenda Kusler's co-authors include Edwin Chang, Gretchen S. Jimenez, Choy‐Pik Chiu, Xu‐Rong Jiang, Thea D. Tlsty, Geoffrey M. Wahl, Andrea Bodnár, Marijke Sage, Patricia P. Jones and Beverly S. Mitchell and has published in prestigious journals such as Journal of Biological Chemistry, Nature Genetics and The Journal of Cell Biology.

In The Last Decade

Brenda Kusler

9 papers receiving 825 citations

Hit Papers

Telomerase expression in human somatic cells does not ind... 1999 2026 2008 2017 1999 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brenda Kusler United States 8 424 352 180 136 85 9 851
Lifeng Xu United States 16 1.2k 2.9× 429 1.2× 79 0.4× 163 1.2× 53 0.6× 26 1.5k
Keiji Kikuchi Japan 14 391 0.9× 245 0.7× 91 0.5× 203 1.5× 34 0.4× 26 859
Daria S. Chulpanova Russia 15 442 1.0× 118 0.3× 188 1.0× 238 1.8× 39 0.5× 31 835
Mercedes Gallardo Spain 13 1.1k 2.5× 205 0.6× 248 1.4× 500 3.7× 77 0.9× 14 1.7k
N Hole United Kingdom 10 433 1.0× 102 0.3× 234 1.3× 195 1.4× 67 0.8× 13 760
Timothy Fong United States 13 305 0.7× 64 0.2× 275 1.5× 211 1.6× 59 0.7× 20 684
Alan R. Brooks United States 10 594 1.4× 72 0.2× 162 0.9× 177 1.3× 138 1.6× 19 975
Jamie M. Sperger United States 16 861 2.0× 171 0.5× 96 0.5× 252 1.9× 271 3.2× 37 1.3k
Jeremy P. Springhorn United States 13 444 1.0× 88 0.3× 172 1.0× 101 0.7× 181 2.1× 17 936
Yukoh Nakazaki Japan 17 436 1.0× 73 0.2× 549 3.0× 350 2.6× 70 0.8× 30 1.0k

Countries citing papers authored by Brenda Kusler

Since Specialization
Citations

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

Fields of papers citing papers by Brenda Kusler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Brenda Kusler

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

All Works

9 of 9 papers shown
1.
Raval, Aparna, Gregory K. Behbehani, Le Xuan Truong Nguyen, et al.. (2015). Reversibility of Defective Hematopoiesis Caused by Telomere Shortening in Telomerase Knockout Mice. PLoS ONE. 10(7). e0131722–e0131722. 21 indexed citations
2.
Huang, Min, Jayanth V. Chodaparambil, Daniel A. Pollyea, et al.. (2011). Reactive Oxygen Species Regulate Nucleostemin Oligomerization and Protein Degradation. Journal of Biological Chemistry. 286(13). 11035–11046. 14 indexed citations
3.
Namavari, Mohammad, Ya-Fang Chang, Brenda Kusler, et al.. (2010). Synthesis of 2′-Deoxy-2′-[18F]Fluoro-9-β-D-Arabinofuranosylguanine: a Novel Agent for Imaging T-Cell Activation with PET. Molecular Imaging and Biology. 13(5). 812–818. 62 indexed citations
4.
Raval, Aparna, Christopher Y. Park, Wendy W. Pang, et al.. (2009). NPM1 Haploinsufficiency Results in Increased Numbers of Hematopoietic Stem Cells and Progenitor Cells.. Blood. 114(22). 738–738. 2 indexed citations
6.
Kang, Young Jun, Brenda Kusler, Motoyuki Otsuka, et al.. (2007). Calcineurin Negatively Regulates TLR-Mediated Activation Pathways. The Journal of Immunology. 179(7). 4598–4607. 83 indexed citations
7.
Marentis, Theodore C., Brenda Kusler, G.G. Yaralioglu, et al.. (2005). Microfluidic sonicator for real-time disruption of eukaryotic cells and bacterial spores for DNA analysis. Ultrasound in Medicine & Biology. 31(9). 1265–1277. 52 indexed citations
8.
Jiang, Xu‐Rong, Gretchen S. Jimenez, Edwin Chang, et al.. (1999). Telomerase expression in human somatic cells does not induce changes associated with a transformed phenotype. Nature Genetics. 21(1). 111–114. 537 indexed citations breakdown →
9.
Feder, John N., et al.. (1990). A cell cycle analysis of growth-related genes expressed during T lymphocyte maturation.. The Journal of Cell Biology. 111(6). 2693–2701. 29 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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