Geoffrey T. Struble

468 total citations
9 papers, 386 citations indexed

About

Geoffrey T. Struble is a scholar working on Molecular Biology, Oncology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Geoffrey T. Struble has authored 9 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Geoffrey T. Struble's work include Protein Kinase Regulation and GTPase Signaling (2 papers), HER2/EGFR in Cancer Research (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Geoffrey T. Struble is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (2 papers), HER2/EGFR in Cancer Research (2 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Geoffrey T. Struble collaborates with scholars based in United States and Belgium. Geoffrey T. Struble's co-authors include Barry A. Springer, Ingrid C. Deckman, Céline Schalk‐Hihi, M.C. Abad, Matthew J. Todd, Ioanna P. Petrounia, Winnie Chan, Stuart L. Emanuel, Steven A. Middleton and Guozhang Xu and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Medicinal Chemistry and Journal of Lipid Research.

In The Last Decade

Geoffrey T. Struble

7 papers receiving 378 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Geoffrey T. Struble United States 7 223 96 93 61 60 9 386
Sheldon N. Crane Canada 13 232 1.0× 66 0.7× 195 2.1× 63 1.0× 38 0.6× 18 451
Laura Caboni Ireland 9 289 1.3× 74 0.8× 76 0.8× 23 0.4× 30 0.5× 11 441
Marion Peyressatre France 6 258 1.2× 157 1.6× 72 0.8× 28 0.5× 29 0.5× 8 482
Paul Shapiro United States 18 469 2.1× 124 1.3× 100 1.1× 17 0.3× 107 1.8× 31 669
Denis McCann United States 15 566 2.5× 149 1.6× 85 0.9× 41 0.7× 39 0.7× 26 826
Finn P. Holding United Kingdom 6 585 2.6× 161 1.7× 31 0.3× 70 1.1× 41 0.7× 6 774
Robert A. Mantei United States 15 308 1.4× 111 1.2× 258 2.8× 37 0.6× 62 1.0× 24 621
Nanda Beatini United States 9 377 1.7× 38 0.4× 47 0.5× 74 1.2× 28 0.5× 10 620
Michael D. Serby United States 11 313 1.4× 50 0.5× 90 1.0× 68 1.1× 48 0.8× 13 495
Sheo S. Singh United States 6 434 1.9× 97 1.0× 88 0.9× 31 0.5× 30 0.5× 6 639

Countries citing papers authored by Geoffrey T. Struble

Since Specialization
Citations

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

Fields of papers citing papers by Geoffrey T. Struble

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Geoffrey T. Struble

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

All Works

9 of 9 papers shown
1.
2.
Qi, Jenson, John A. Masucci, Wensheng Lang, et al.. (2017). Novel LC/MS/MS and High-Throughput Mass Spectrometric Assays for Monoacylglycerol Acyltransferase Inhibitors. SLAS DISCOVERY. 22(4). 433–439.
3.
Qi, Jenson, Wensheng Lang, John G. Geisler, et al.. (2012). The use of stable isotope-labeled glycerol and oleic acid to differentiate the hepatic functions of DGAT1 and -2. Journal of Lipid Research. 53(6). 1106–1116. 89 indexed citations
4.
Gibbs, Alan C., M.C. Abad, Xuqing Zhang, et al.. (2010). Electron Density Guided Fragment-Based Lead Discovery of Ketohexokinase Inhibitors. Journal of Medicinal Chemistry. 53(22). 7979–7991. 32 indexed citations
5.
Xu, Guozhang, Terry V. Hughes, Peter J. Connolly, et al.. (2008). Discovery of novel 4-amino-6-arylaminopyrimidine-5-carbaldehyde oximes as dual inhibitors of EGFR and ErbB-2 protein tyrosine kinases. Bioorganic & Medicinal Chemistry Letters. 18(12). 3495–3499. 48 indexed citations
6.
Xu, Guozhang, M.C. Abad, Peter J. Connolly, et al.. (2008). 4-Amino-6-arylamino-pyrimidine-5-carbaldehyde hydrazones as potent ErbB-2/EGFR dual kinase inhibitors. Bioorganic & Medicinal Chemistry Letters. 18(16). 4615–4619. 80 indexed citations
7.
Kranz, James K., Winnie Chan, Geoffrey T. Struble, et al.. (2007). Enhancing Recombinant Protein Quality and Yield by Protein Stability Profiling. SLAS DISCOVERY. 12(3). 418–428. 71 indexed citations
8.
Schalk‐Hihi, Céline, Hongchang Ma, Geoffrey T. Struble, et al.. (2006). Protein Engineering of the Colony-stimulating Factor-1 Receptor Kinase Domain for Structural Studies. Journal of Biological Chemistry. 282(6). 4085–4093. 10 indexed citations
9.
Schubert, Carsten J., Céline Schalk‐Hihi, Geoffrey T. Struble, et al.. (2006). Crystal Structure of the Tyrosine Kinase Domain of Colony-stimulating Factor-1 Receptor (cFMS) in Complex with Two Inhibitors. Journal of Biological Chemistry. 282(6). 4094–4101. 56 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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