William G. Bonnette

778 total citations
7 papers, 143 citations indexed

About

William G. Bonnette is a scholar working on Molecular Biology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, William G. Bonnette has authored 7 papers receiving a total of 143 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Organic Chemistry and 2 papers in Computational Theory and Mathematics. Recurrent topics in William G. Bonnette's work include Computational Drug Discovery Methods (2 papers), Nematode management and characterization studies (1 paper) and Autophagy in Disease and Therapy (1 paper). William G. Bonnette is often cited by papers focused on Computational Drug Discovery Methods (2 papers), Nematode management and characterization studies (1 paper) and Autophagy in Disease and Therapy (1 paper). William G. Bonnette collaborates with scholars based in United States and United Kingdom. William G. Bonnette's co-authors include Dai‐Shi Su, Roland S. Annan, Alan P. Graves, Francesca Zappacosta, Glenn S. Van Aller, Ryan G. Kruger, Christopher L. Carpenter, Helai P. Mohammad, P.A. Elkins and Patrick McDevitt and has published in prestigious journals such as Analytical Biochemistry, Scientific Reports and Journal of Medicinal Chemistry.

In The Last Decade

William G. Bonnette

6 papers receiving 140 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William G. Bonnette United States 4 112 35 24 18 17 7 143
Jessica Perrin Germany 3 124 1.1× 13 0.4× 28 1.2× 18 1.0× 14 0.8× 5 184
Jeremy Jacobsen United States 6 171 1.5× 28 0.8× 21 0.9× 7 0.4× 7 0.4× 7 221
Alexander S. Huszagh United States 5 174 1.6× 69 2.0× 10 0.4× 15 0.8× 27 1.6× 5 242
Debajyoti Datta India 4 128 1.1× 22 0.6× 20 0.8× 7 0.4× 6 0.4× 17 164
Lọla Fagbami United States 5 121 1.1× 15 0.4× 13 0.5× 4 0.2× 6 0.4× 6 158
Nichole O’Connell United States 7 179 1.6× 23 0.7× 10 0.4× 16 0.9× 14 0.8× 11 219
Reshma Kuvelkar United States 8 112 1.0× 12 0.3× 54 2.3× 30 1.7× 6 0.4× 11 243
A. Pacitto United Kingdom 4 117 1.0× 43 1.2× 19 0.8× 21 1.2× 24 1.4× 5 177
Nikolaos Kouvatsos United Kingdom 6 116 1.0× 17 0.5× 5 0.2× 24 1.3× 11 0.6× 10 184
Antonio Carlesso Sweden 7 125 1.1× 149 4.3× 24 1.0× 12 0.7× 91 5.4× 17 241

Countries citing papers authored by William G. Bonnette

Since Specialization
Citations

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

Fields of papers citing papers by William G. Bonnette

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William G. Bonnette

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

All Works

7 of 7 papers shown
1.
Watson, Trevor, William G. Bonnette, J. Mueller, et al.. (2023). Society of Nematologists 1961. Journal of Nematology. 55(1). 20230047–20230047.
2.
Norton, David L., William G. Bonnette, James F. Callahan, et al.. (2021). Fragment-Guided Discovery of Pyrazole Carboxylic Acid Inhibitors of the Kelch-like ECH-Associated Protein 1: Nuclear Factor Erythroid 2 Related Factor 2 (KEAP1:NRF2) Protein−Protein Interaction. Journal of Medicinal Chemistry. 64(21). 15949–15972. 23 indexed citations
3.
Matico, Rosalie, Lawrence M. Szewczuk, Beth Pietrak, et al.. (2019). Modular Protein Ligation: A New Paradigm as a Reagent Platform for Pre-Clinical Drug Discovery. Scientific Reports. 9(1). 13078–13078. 2 indexed citations
4.
Jiang, Yong, Ann F. Hoffman, William G. Bonnette, et al.. (2018). Development of a high-content imaging assay for screening compound aggregation. Analytical Biochemistry. 559. 30–33. 1 indexed citations
5.
McNulty, Dean E., William G. Bonnette, Hongwei Qi, et al.. (2017). A High-Throughput Dose-Response Cellular Thermal Shift Assay for Rapid Screening of Drug Target Engagement in Living Cells, Exemplified Using SMYD3 and IDO1. SLAS DISCOVERY. 23(1). 34–46. 33 indexed citations
6.
Aller, Glenn S. Van, Alan P. Graves, P.A. Elkins, et al.. (2016). Structure-Based Design of a Novel SMYD3 Inhibitor that Bridges the SAM-and MEKK2-Binding Pockets. Structure. 24(5). 774–781. 42 indexed citations
7.
Concha, N.O., Angela Smallwood, William G. Bonnette, et al.. (2015). Long-Range Inhibitor-Induced Conformational Regulation of Human IRE1α Endoribonuclease Activity. Molecular Pharmacology. 88(6). 1011–1023. 42 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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