David K. Worthylake

4.2k total citations · 2 hit papers
34 papers, 3.6k citations indexed

About

David K. Worthylake is a scholar working on Molecular Biology, Cell Biology and Virology. According to data from OpenAlex, David K. Worthylake has authored 34 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 15 papers in Cell Biology and 6 papers in Virology. Recurrent topics in David K. Worthylake's work include Cellular transport and secretion (11 papers), Protein Kinase Regulation and GTPase Signaling (11 papers) and HIV Research and Treatment (6 papers). David K. Worthylake is often cited by papers focused on Cellular transport and secretion (11 papers), Protein Kinase Regulation and GTPase Signaling (11 papers) and HIV Research and Treatment (6 papers). David K. Worthylake collaborates with scholars based in United States, Germany and Iran. David K. Worthylake's co-authors include Christopher P. Hill, Wesley I. Sundquist, John Sondek, Sanghee Yoo, Kent L. Rossman, F.F. Vajdos, Theresa Gamble, Allyson M. Christensen, Dennison Bancroft and Jason T. Snyder and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

David K. Worthylake

34 papers receiving 3.5k citations

Hit Papers

Crystal Structure of Human Cyclophilin A Bound to the Ami... 1996 2026 2006 2016 1996 1997 100 200 300 400 500

Peers

David K. Worthylake
Yong Xiong United States
Ian A. Taylor United Kingdom
Uta K. von Schwedler United States
Eric Barklis United States
Debra M. Eckert United States
Robert J. Crouch United States
Owen Pornillos United States
Xiaojiang S. Chen United States
Ronald B. Luftig United States
David E. Ott United States
Yong Xiong United States
David K. Worthylake
Citations per year, relative to David K. Worthylake David K. Worthylake (= 1×) peers Yong Xiong

Countries citing papers authored by David K. Worthylake

Since Specialization
Citations

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

Fields of papers citing papers by David K. Worthylake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David K. Worthylake. 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 David K. Worthylake. The network helps show where David K. Worthylake may publish in the future.

Co-authorship network of co-authors of David K. Worthylake

This figure shows the co-authorship network connecting the top 25 collaborators of David K. Worthylake. A scholar is included among the top collaborators of David K. Worthylake 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 David K. Worthylake. David K. Worthylake 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.
Chandra, Partha K., Stephen E. Braun, Jorge A. Castorena‐Gonzalez, et al.. (2023). Circulating Plasma Exosomal Proteins of Either SHIV-Infected Rhesus Macaque or HIV-Infected Patient Indicates a Link to Neuropathogenesis. Viruses. 15(3). 794–794. 4 indexed citations
2.
Yousefi, Hassan, Samuel C. Okpechi, David K. Worthylake, et al.. (2022). A combination of novel NSC small molecule inhibitor along with doxorubicin inhibits proliferation of triple-negative breast cancer through metabolic reprogramming. Oncogene. 41(47). 5076–5091. 8 indexed citations
3.
Yousefi, Hassan, et al.. (2022). Hippo signaling pathway: A comprehensive gene expression profile analysis in breast cancer. Biomedicine & Pharmacotherapy. 151. 113144–113144. 13 indexed citations
4.
Gorisse, Laëtitia, Zhigang Li, Craig D. Wagner, et al.. (2020). Ubiquitination of the scaffold protein IQGAP1 diminishes its interaction with and activation of the Rho GTPase CDC42. Journal of Biological Chemistry. 295(15). 4822–4835. 16 indexed citations
5.
Sadraeian, Mohammad, et al.. (2017). Selective cytotoxicity of a novel immunotoxin based on pulchellin A chain for cells expressing HIV envelope. Scientific Reports. 7(1). 7579–7579. 17 indexed citations
6.
Liu, Jing, et al.. (2016). The Structural Basis for Cdc42-Induced Dimerization of IQGAPs. Structure. 24(9). 1499–1508. 30 indexed citations
7.
Liu, Jing, et al.. (2016). The IQGAP1 N-Terminus Forms Dimers, and the Dimer Interface Is Required for Binding F-Actin and Calcium-Bound Calmodulin. Biochemistry. 55(46). 6433–6444. 14 indexed citations
8.
Shen, Li, et al.. (2015). Multipart Chaperone-Effector Recognition in the Type III Secretion System of Chlamydia trachomatis. Journal of Biological Chemistry. 290(47). 28141–28155. 15 indexed citations
9.
Worthylake, David K., et al.. (2010). Allosteric Drug Discrimination Is Coupled to Mechanochemical Changes in the Kinesin-5 Motor Core. Journal of Biological Chemistry. 285(24). 18650–18661. 43 indexed citations
10.
Bellamy, Henry D., et al.. (2009). Crystal Structure of the GTPase-activating Protein-related Domain from IQGAP1. Journal of Biological Chemistry. 284(22). 14857–14865. 49 indexed citations
11.
Wojcik, Edward, et al.. (2009). ATP Hydrolysis in Eg5 Kinesin Involves a Catalytic Two-water Mechanism. Journal of Biological Chemistry. 285(8). 5859–5867. 119 indexed citations
12.
Betts, Laurie, et al.. (2007). The DH and PH Domains of Trio Coordinately Engage Rho GTPases for their Efficient Activation. Journal of Molecular Biology. 368(5). 1307–1320. 72 indexed citations
13.
Worthylake, David K., Kent L. Rossman, & John Sondek. (2004). Crystal Structure of the DH/PH Fragment of Dbs without Bound GTPase. Structure. 12(6). 1079–1086. 28 indexed citations
14.
Rossman, Kent L., David K. Worthylake, Jason T. Snyder, et al.. (2002). Functional Analysis of Cdc42 Residues Required for Guanine Nucleotide Exchange. Journal of Biological Chemistry. 277(52). 50893–50898. 27 indexed citations
15.
Snyder, Jason T., David K. Worthylake, Kent L. Rossman, et al.. (2002). Structural basis for the selective activation of Rho GTPases by Dbl exchange factors. Nature Structural Biology. 9(6). 468–475. 180 indexed citations
16.
Worthylake, David K., Kent L. Rossman, & John Sondek. (2000). Crystal structure of Rac1 in complex with the guanine nucleotide exchange region of Tiam1. Nature. 408(6813). 682–688. 291 indexed citations
17.
Worthylake, David K., Hui Wang, Sanghee Yoo, Wesley I. Sundquist, & Christopher P. Hill. (1999). Structures of the HIV-1 capsid protein dimerization domain at 2.6 Å resolution. Acta Crystallographica Section D Biological Crystallography. 55(1). 85–92. 210 indexed citations
18.
Worthylake, David K., Satya Prakash, Louise Prakash, & Christopher P. Hill. (1998). Crystal Structure of the Saccharomyces cerevisiae Ubiquitin-conjugating Enzyme Rad6 at 2.6 Å Resolution. Journal of Biological Chemistry. 273(11). 6271–6276. 63 indexed citations
19.
Gamble, Theresa, F.F. Vajdos, Sanghee Yoo, et al.. (1996). Crystal Structure of Human Cyclophilin A Bound to the Amino-Terminal Domain of HIV-1 Capsid. Cell. 87(7). 1285–1294. 597 indexed citations breakdown →
20.
Lehman, Chris W., et al.. (1993). Homologous and Illegitimate Recombination in Developing Xenopus Oocytes and Eggs. Molecular and Cellular Biology. 13(11). 6897–6906. 43 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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