Chad Zimprich

4.0k total citations · 1 hit paper
22 papers, 2.6k citations indexed

About

Chad Zimprich is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, Chad Zimprich has authored 22 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 5 papers in Oncology and 5 papers in Cell Biology. Recurrent topics in Chad Zimprich's work include Histone Deacetylase Inhibitors Research (4 papers), Peptidase Inhibition and Analysis (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Chad Zimprich is often cited by papers focused on Histone Deacetylase Inhibitors Research (4 papers), Peptidase Inhibition and Analysis (3 papers) and Monoclonal and Polyclonal Antibodies Research (3 papers). Chad Zimprich collaborates with scholars based in United States, Czechia and Belgium. Chad Zimprich's co-authors include Mark G. McDougall, Keith V. Wood, Monika G. Wood, Rachel Friedman Ohana, Marjeta Urh, Dieter H. Klaubert, Georgyi V. Los, Lance P. Encell, Aldis Darzins and Kris Zimmerman and has published in prestigious journals such as Nature Communications, The Journal of Immunology and Cancer Research.

In The Last Decade

Chad Zimprich

22 papers receiving 2.6k citations

Hit Papers

HaloTag: A Novel Protein Labeling Technology for Cell Ima... 2008 2026 2014 2020 2008 500 1000 1.5k

Peers

Chad Zimprich
Jacqui Méndez United States
Rachel Friedman Ohana United States
Mark G. McDougall United States
Kris Zimmerman United States
Natasha Karassina United States
Marjeta Urh United States
Dan Simpson United States
Georgyi V. Los United States
Antje Keppler Switzerland
Jacqui Méndez United States
Chad Zimprich
Citations per year, relative to Chad Zimprich Chad Zimprich (= 1×) peers Jacqui Méndez

Countries citing papers authored by Chad Zimprich

Since Specialization
Citations

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

Fields of papers citing papers by Chad Zimprich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chad Zimprich

This figure shows the co-authorship network connecting the top 25 collaborators of Chad Zimprich. A scholar is included among the top collaborators of Chad Zimprich 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 Chad Zimprich. Chad Zimprich 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
1.
Vasta, James D., Chad Zimprich, Michael Beck, et al.. (2023). Protomer selectivity of type II RAF inhibitors within the RAS/RAF complex. Cell chemical biology. 30(11). 1354–1365.e6. 7 indexed citations
2.
Asquith, Christopher R. M., Michael P. East, Robert Smith, et al.. (2022). Small-molecule inhibition of the archetypal UbiB protein COQ8. Nature Chemical Biology. 19(2). 230–238. 7 indexed citations
3.
Vasta, James D., D. Matthew Peacock, Qinheng Zheng, et al.. (2022). KRAS is vulnerable to reversible switch-II pocket engagement in cells. Nature Chemical Biology. 18(6). 596–604. 72 indexed citations
4.
Shen, Sida, Cristina Picci, Veronick Benoy, et al.. (2021). Tetrahydroquinoline-Capped Histone Deacetylase 6 Inhibitor SW-101 Ameliorates Pathological Phenotypes in a Charcot–Marie–Tooth Type 2A Mouse Model. Journal of Medicinal Chemistry. 64(8). 4810–4840. 20 indexed citations
5.
Wells, Carrow I., James D. Vasta, Cesear Corona, et al.. (2020). Quantifying CDK inhibitor selectivity in live cells. Nature Communications. 11(1). 2743–2743. 78 indexed citations
6.
Oldham, Robert, Alison L. Tutt, Patrick J. Duriez, et al.. (2018). Detection of Experimental and Clinical Immune Complexes by Measuring SHIP-1 Recruitment to the Inhibitory FcγRIIB. The Journal of Immunology. 200(5). 1937–1950. 6 indexed citations
7.
Kozikowski, Alan P., Sida Shen, Marta Pardo, et al.. (2018). Brain Penetrable Histone Deacetylase 6 Inhibitor SW-100 Ameliorates Memory and Learning Impairments in a Mouse Model of Fragile X Syndrome. ACS Chemical Neuroscience. 10(3). 1679–1695. 58 indexed citations
8.
Walker, Joel R., Mary P. Hall, Chad Zimprich, et al.. (2017). Highly Potent Cell-Permeable and Impermeable NanoLuc Luciferase Inhibitors. ACS Chemical Biology. 12(4). 1028–1037. 30 indexed citations
9.
Nath, Nidhi, et al.. (2016). Homogeneous plate based antibody internalization assay using pH sensor fluorescent dye. Journal of Immunological Methods. 431. 11–21. 42 indexed citations
10.
Zimprich, Chad, et al.. (2016). Supplementation of distiller's grains during late gestation in beef cows consuming low‐quality forage decreases uterine, but not mammary, blood flow. Journal of Animal Physiology and Animal Nutrition. 101(5). e154–e164. 15 indexed citations
11.
Robers, Matthew B., Melanie L. Dart, Carolyn C. Woodroofe, et al.. (2015). Target engagement and drug residence time can be observed in living cells with BRET. Nature Communications. 6(1). 10091–10091. 196 indexed citations
12.
Robers, Matthew B., Brock F. Binkowski, Mei Cong, et al.. (2015). A luminescent assay for real-time measurements of receptor endocytosis in living cells. Analytical Biochemistry. 489. 1–8. 18 indexed citations
13.
Bernau, Ksenija, Christina Lewis, Hélène A Benink, et al.. (2014). In vivo tracking of human neural progenitor cells in the rat brain using bioluminescence imaging. Journal of Neuroscience Methods. 228. 67–78. 15 indexed citations
14.
Valley, Michael P., Kevin R. Kupcho, Chad Zimprich, et al.. (2014). Abstract 3731: Luminescent cell health assays for tumor spheroid evaluation. Cancer Research. 74(19_Supplement). 3731–3731. 6 indexed citations
15.
Mulcrone, Patrick L., Michaël Meyer, Christina Lewis, et al.. (2013). Synergistic Effects of GDNF and VEGF on Lifespan and Disease Progression in a Familial ALS Rat Model. Molecular Therapy. 21(8). 1602–1610. 105 indexed citations
16.
Svendsen, Soshana, Chad Zimprich, Mark G. McDougall, Dieter H. Klaubert, & Georgyi V. Los. (2008). Spatial separation and bidirectional trafficking of proteins using a multi-functional reporter. BMC Cell Biology. 9(1). 17–17. 29 indexed citations
17.
Los, Georgyi V., Lance P. Encell, Mark G. McDougall, et al.. (2008). HaloTag: A Novel Protein Labeling Technology for Cell Imaging and Protein Analysis. ACS Chemical Biology. 3(6). 373–382. 1810 indexed citations breakdown →
18.
Los, Georgyi V., Randall D. Learish, Natasha Karassina, et al.. (2006). HALOTAG™ TECHNOLOGY: CELL IMAGING AND PROTEIN ANALYSIS. 3 indexed citations
19.
Zimprich, Chad, et al.. (2001). Expression and partial characterization of an elastase from Chromobacterium violaceum. Veterinary Microbiology. 80(1). 63–74. 14 indexed citations
20.
Zimprich, Chad, et al.. (1999). A Second Operator Is Involved in Pseudomonas aeruginosa Elastase ( lasB ) Activation. Journal of Bacteriology. 181(20). 6264–6270. 34 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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