William T. Windsor

3.8k total citations
42 papers, 2.5k citations indexed

About

William T. Windsor is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, William T. Windsor has authored 42 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 12 papers in Oncology and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in William T. Windsor's work include Monoclonal and Polyclonal Antibodies Research (9 papers), Protein Kinase Regulation and GTPase Signaling (7 papers) and Melanoma and MAPK Pathways (6 papers). William T. Windsor is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (9 papers), Protein Kinase Regulation and GTPase Signaling (7 papers) and Melanoma and MAPK Pathways (6 papers). William T. Windsor collaborates with scholars based in United States, United Kingdom and Germany. William T. Windsor's co-authors include Rumin Zhang, Rosalinda Syto, James Durkin, Paul T. Kirschmeier, Charles A. Lunn, Tattanahalli L. Nagabhushan, Mark R. Walter, Satwant K. Narula, Daniel Lundell and Richard Bond and has published in prestigious journals such as Nature, Journal of Biological Chemistry and Analytical Chemistry.

In The Last Decade

William T. Windsor

41 papers receiving 2.3k citations

Peers

William T. Windsor
Daniel P. Sutherlin United States
John G. Moffat United States
Brian D. Marsden United Kingdom
Angelika M. Burger United States
Joseph L. Kim United States
Anthony M. Giannetti United States
Darren R. Veach United States
Daniel P. Sutherlin United States
William T. Windsor
Citations per year, relative to William T. Windsor William T. Windsor (= 1×) peers Daniel P. Sutherlin

Countries citing papers authored by William T. Windsor

Since Specialization
Citations

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

Fields of papers citing papers by William T. Windsor

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William T. Windsor

This figure shows the co-authorship network connecting the top 25 collaborators of William T. Windsor. A scholar is included among the top collaborators of William T. Windsor 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 William T. Windsor. William T. Windsor 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.
Podlaski, Frank, Kenny K. Wong, Brian A. McKittrick, et al.. (2023). Peptide Nucleic Acids Containing Cationic/Amino-Alkyl Modified Bases Promote Enhanced Hybridization Kinetics and Thermodynamics with Single-Strand DNA. ACS Omega. 8(37). 33426–33436. 8 indexed citations
2.
Zhu, Hugh, Jagdish Desai, Yongqi Deng, et al.. (2015). Discovery of hydroxyaniline amides as selective Extracellular Regulated Kinase (Erk) inhibitors. Bioorganic & Medicinal Chemistry Letters. 25(7). 1627–1629. 9 indexed citations
3.
Deng, Yongqi, Gerald W. Shipps, Lianyun Zhao, et al.. (2013). Modulating the interaction between CDK2 and cyclin A with a quinoline-based inhibitor. Bioorganic & Medicinal Chemistry Letters. 24(1). 199–203. 17 indexed citations
4.
Parry, David, Timothy J. Guzi, Fergus Shanahan, et al.. (2010). Dinaciclib (SCH 727965), a Novel and Potent Cyclin-Dependent Kinase Inhibitor. Molecular Cancer Therapeutics. 9(8). 2344–2353. 434 indexed citations
6.
Fischmann, Thierry, Alan Hruza, José S. Duca, et al.. (2007). Structure‐guided discovery of cyclin‐dependent kinase inhibitors. Biopolymers. 89(5). 372–379. 46 indexed citations
7.
Smith, Catherine K., Donna Carr, Todd Mayhood, et al.. (2006). Expression and purification of phosphorylated and non-phosphorylated human MEK1. Protein Expression and Purification. 52(2). 446–456. 13 indexed citations
8.
Nallan, Laxman, Kasey Rivas, Kohei Yokoyama, et al.. (2005). Protein Farnesyltransferase Inhibitors Exhibit Potent Antimalarial Activity. Journal of Medicinal Chemistry. 48(11). 3704–3713. 147 indexed citations
9.
Mayhood, Todd & William T. Windsor. (2005). Ligand binding affinity determined by temperature-dependent circular dichroism: Cyclin-dependent kinase 2 inhibitors. Analytical Biochemistry. 345(2). 187–197. 33 indexed citations
10.
Lu, Zhuomei, Zhizhang Yin, Linda James, et al.. (2004). Development of a Fluorescence Polarization Bead-Based Coupled Assay to Target Different Activity/Conformation States of a Protein Kinase. SLAS DISCOVERY. 9(4). 309–321. 7 indexed citations
11.
Zhang, Rumin, Todd Mayhood, Philip Lipari, et al.. (2004). Fluorescence polarization assay and inhibitor design for MDM2/p53 interaction. Analytical Biochemistry. 331(1). 138–146. 43 indexed citations
12.
Zhang, Rumin, James Durkin, & William T. Windsor. (2002). Azapeptides as inhibitors of the hepatitis C virus NS3 serine protease. Bioorganic & Medicinal Chemistry Letters. 12(7). 1005–1008. 63 indexed citations
13.
Zhang, Rumin, Brian M. Beyer, James Durkin, et al.. (1999). A Continuous Spectrophotometric Assay for the Hepatitis C Virus Serine Protease. Analytical Biochemistry. 270(2). 268–275. 71 indexed citations
14.
Strickland, Corey L., Patricia C Weber, William T. Windsor, et al.. (1999). Tricyclic Farnesyl Protein Transferase Inhibitors:  Crystallographic and Calorimetric Studies of Structure−Activity Relationships. Journal of Medicinal Chemistry. 42(12). 2125–2135. 63 indexed citations
15.
Windsor, William T., Leigh J. Walter, Rosalinda Syto, et al.. (1996). Purification and crystallization of a complex between human interferon γ receptor (extracellular domain) and human interferon γ. Proteins Structure Function and Bioinformatics. 26(1). 108–114. 7 indexed citations
16.
Walter, Mark R., William T. Windsor, Tattanahalli L. Nagabhushan, et al.. (1995). Crystal structure of a complex between interferon-γ and its soluble high-affinity receptor. Nature. 376(6537). 230–235. 303 indexed citations
17.
Windsor, William T., Rosalinda Syto, Anthony Tsarbopoulos, et al.. (1993). Disulfide bond assignments and secondary structure analysis of human and murine interleukin 10. Biochemistry. 32(34). 8807–8815. 74 indexed citations
18.
Lunn, Charles A., James Fossetta, David C. Dalgarno, et al.. (1992). A point mutation of human interferon γ abolishes receptor recognition. Protein Engineering Design and Selection. 5(3). 253–257. 20 indexed citations
19.
Windsor, William T., et al.. (1991). Analysis of the conformation and stability of Escherichia coli derived-recombinant human interleukin 4 by circular dichroism. Biochemistry. 30(5). 1259–1264. 22 indexed citations
20.
Shang, Zhigang, William T. Windsor, You‐Di Liao, & C W Wu. (1988). Purification of Xenopus transcription factor IIIA and 5 S RNA from 7 S ribonucleoprotein particle by ammonium sulfate precipitation. Analytical Biochemistry. 168(1). 156–163. 17 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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