Todd D. Westergard

641 total citations
9 papers, 478 citations indexed

About

Todd D. Westergard is a scholar working on Molecular Biology, Hematology and Cancer Research. According to data from OpenAlex, Todd D. Westergard has authored 9 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Hematology and 3 papers in Cancer Research. Recurrent topics in Todd D. Westergard's work include Acute Myeloid Leukemia Research (4 papers), Protein Degradation and Inhibitors (3 papers) and Cell death mechanisms and regulation (2 papers). Todd D. Westergard is often cited by papers focused on Acute Myeloid Leukemia Research (4 papers), Protein Degradation and Inhibitors (3 papers) and Cell death mechanisms and regulation (2 papers). Todd D. Westergard collaborates with scholars based in United States, China and Japan. Todd D. Westergard's co-authors include James J. Hsieh, Emily H. Cheng, Shugaku Takeda, Satoru Sasagawa, David Y. Chen, Stanley J. Korsmeyer, Han Liu, Jill K. Fisher, Decheng Ren and Ho-Chou Tu and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Clinical Investigation.

In The Last Decade

Todd D. Westergard

9 papers receiving 470 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Todd D. Westergard United States	7	423	87	76	54	42	9	478
Pravina Fernandez United States	4	514 1.2×	79 0.9×	103 1.4×	43 0.8×	29 0.7×	11	572
Seemana Bhattacharya United States	11	402 1.0×	168 1.9×	72 0.9×	47 0.9×	30 0.7×	23	483
Svenja Leible Germany	7	366 0.9×	88 1.0×	54 0.7×	64 1.2×	26 0.6×	10	509
Nuria Ferrándiz United Kingdom	13	392 0.9×	118 1.4×	44 0.6×	41 0.8×	101 2.4×	18	492
Candace J. Poole United States	7	234 0.6×	55 0.6×	29 0.4×	51 0.9×	33 0.8×	10	298
Kazutsune Yamagata Japan	12	474 1.1×	81 0.9×	51 0.7×	112 2.1×	32 0.8×	21	538
Nicola J. Sunter United Kingdom	7	438 1.0×	181 2.1×	46 0.6×	102 1.9×	20 0.5×	9	527
Le Xuan Truong Nguyen United States	12	319 0.8×	81 0.9×	101 1.3×	82 1.5×	17 0.4×	30	416
Steven S. Foster United Kingdom	8	503 1.2×	132 1.5×	30 0.4×	54 1.0×	41 1.0×	8	554
Markus Schick Germany	11	209 0.5×	107 1.2×	32 0.4×	39 0.7×	34 0.8×	24	320

Countries citing papers authored by Todd D. Westergard

Since Specialization

Citations

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

Fields of papers citing papers by Todd D. Westergard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Todd D. Westergard. 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 Todd D. Westergard. The network helps show where Todd D. Westergard may publish in the future.

Co-authorship network of co-authors of Todd D. Westergard

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

All Works

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9 of 9 papers shown

Takeda, Shugaku, Satoru Sasagawa, Toshinao Oyama, et al.. (2015). Taspase1-dependent TFIIA cleavage coordinates head morphogenesis by limiting Cdkn2a locus transcription. Journal of Clinical Investigation. 125(3). 1203–1214. 21 indexed citations

Liu, Han, Todd D. Westergard, Amanda F. Cashen, et al.. (2014). Proteasome Inhibitors Evoke Latent Tumor Suppression Programs in Pro-B MLL Leukemias through MLL-AF4. Cancer Cell. 25(4). 530–542. 30 indexed citations

Chen, David Y., Brian A. Van Tine, Adam C. Searleman, et al.. (2011). A Pharmacologic Inhibitor of the Protease Taspase1 Effectively Inhibits Breast and Brain Tumor Growth. Cancer Research. 72(3). 736–746. 35 indexed citations

Liu, Han, Shugaku Takeda, Rakesh Kumar, et al.. (2010). Phosphorylation of MLL by ATR is required for execution of mammalian S-phase checkpoint. Nature. 467(7313). 343–346. 113 indexed citations

Tu, Ho-Chou, Decheng Ren, David Y. Chen, et al.. (2009). The p53-cathepsin axis cooperates with ROS to activate programmed necrotic death upon DNA damage. Proceedings of the National Academy of Sciences. 106(4). 1093–1098. 95 indexed citations

Ren, Decheng, Hyungjin Kim, Ho-Chou Tu, et al.. (2009). The VDAC2-BAK Rheostat Controls Thymocyte Survival. Science Signaling. 2(85). 41 indexed citations

Liu, Han, David Chen, Todd D. Westergard, et al.. (2007). Bimodal Degradation of MLL Protein by the Cell Cycle SCFSkp2 and APCCdc20 E3 Lilgases Assures Cell Cycle Execution: A Critical Regulatory Circuit Lost in Leukemogenic MLL-Fusions.. Blood. 110(11). 828–828. 4 indexed citations

Takeda, Shugaku, David Y. Chen, Todd D. Westergard, et al.. (2006). Proteolysis of MLL family proteins is essential for Taspase1-orchestrated cell cycle progression. Genes & Development. 20(17). 2397–2409. 133 indexed citations

Hsieh, James J., Shugaku Takeda, David Y. Chen, et al.. (2006). Proteolysis of MLL Family Proteins Is Essential for Taspase1−Orchestrated Cell Cycle Progression.. Blood. 108(11). 769–769. 6 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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