Guy J. Laidig

2.0k total citations · 2 hit papers
9 papers, 1.4k citations indexed

About

Guy J. Laidig is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Guy J. Laidig has authored 9 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Oncology and 3 papers in Hematology. Recurrent topics in Guy J. Laidig's work include Ubiquitin and proteasome pathways (6 papers), Peptidase Inhibition and Analysis (3 papers) and Multiple Myeloma Research and Treatments (3 papers). Guy J. Laidig is often cited by papers focused on Ubiquitin and proteasome pathways (6 papers), Peptidase Inhibition and Analysis (3 papers) and Multiple Myeloma Research and Treatments (3 papers). Guy J. Laidig collaborates with scholars based in United States and Norway. Guy J. Laidig's co-authors include Mark K. Bennett, Francesco Parlati, Susan D. Demo, Evan R. Lewis, Jinfu Yang, Mirna L.M. Rodriguez, Eric B. Sjogren, Matt I. Gross, Jun Li and Timothy F. Stanton and has published in prestigious journals such as Blood, Cancer Research and Tetrahedron Letters.

In The Last Decade

Guy J. Laidig

9 papers receiving 1.4k citations

Hit Papers

Antitumor Activity of the Glutaminase Inhibitor CB-839... 2007 2026 2013 2019 2014 2007 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guy J. Laidig United States 5 1.0k 653 347 284 125 9 1.4k
Jinfu Yang United States 6 766 0.7× 661 1.0× 209 0.6× 159 0.6× 133 1.1× 12 1.1k
Frances Zhao United States 7 680 0.7× 653 1.0× 182 0.5× 88 0.3× 134 1.1× 12 987
Chiara Balestrieri Italy 11 738 0.7× 496 0.8× 253 0.7× 84 0.3× 62 0.5× 19 1.1k
Mark A. Gregory United States 16 1.5k 1.4× 360 0.6× 567 1.6× 335 1.2× 25 0.2× 21 1.9k
Fumiko Axelrod United States 9 895 0.9× 568 0.9× 458 1.3× 46 0.2× 75 0.6× 24 1.4k
Jessamy Tiffen Australia 21 1.3k 1.2× 393 0.6× 599 1.7× 121 0.4× 229 1.8× 40 1.8k
Shiro Koizume Japan 18 487 0.5× 239 0.4× 170 0.5× 224 0.8× 83 0.7× 37 1.0k
Courtney L. Jones United States 17 1.4k 1.4× 469 0.7× 300 0.9× 1.2k 4.1× 45 0.4× 39 2.1k
R Zeheb United States 9 514 0.5× 387 0.6× 331 1.0× 283 1.0× 26 0.2× 9 1.1k
Deborah E. Banker United States 17 695 0.7× 312 0.5× 310 0.9× 368 1.3× 19 0.2× 28 1.2k

Countries citing papers authored by Guy J. Laidig

Since Specialization
Citations

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

Fields of papers citing papers by Guy J. Laidig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Guy J. Laidig. 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 Guy J. Laidig. The network helps show where Guy J. Laidig may publish in the future.

Co-authorship network of co-authors of Guy J. Laidig

This figure shows the co-authorship network connecting the top 25 collaborators of Guy J. Laidig. A scholar is included among the top collaborators of Guy J. Laidig 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 Guy J. Laidig. Guy J. Laidig 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.
Gross, Matt I., Susan D. Demo, Jennifer B. Dennison, et al.. (2014). Antitumor Activity of the Glutaminase Inhibitor CB-839 in Triple-Negative Breast Cancer. Molecular Cancer Therapeutics. 13(4). 890–901. 797 indexed citations breakdown →
2.
Muchamuel, Tony, Monette Aujay, Mark K. Bennett, et al.. (2008). Preclinical Pharmacology and in Vitro Characterization of PR-047, An Oral Inhibitor of the 20S Proteasome. Blood. 112(11). 3671–3671. 4 indexed citations
3.
Kirk, Christopher J., Jing Jiang, Tony Muchamuel, et al.. (2008). The Selective Proteasome Inhibitor Carfilzomib Is Well Tolerated in Experimental Animals with Dose Intensive Administration. Blood. 112(11). 2765–2765. 10 indexed citations
4.
Demo, Susan D., Christopher J. Kirk, Monette Aujay, et al.. (2007). Antitumor Activity of PR-171, a Novel Irreversible Inhibitor of the Proteasome. Cancer Research. 67(13). 6383–6391. 542 indexed citations breakdown →
5.
Parlati, Francesco, Monette Aujay, Susan D. Demo, et al.. (2007). Anti-Tumor Activity of Immunoproteasome Selective Inhibitors.. Blood. 110(11). 1599–1599. 1 indexed citations
6.
Parlati, Francesco, Monette Aujay, Susan D. Demo, et al.. (2006). Immunoproteasome-Selective Keto-Epoxide Inhibitors: Potential Therapeutic Agents for the Treatment of Hematological Disorders.. Blood. 108(11). 4392–4392. 1 indexed citations
7.
Kirk, Christopher J., Mark K. Bennett, Tonia J. Buchholz, et al.. (2005). Pharmacokinetics, Pharmacodynamics and Anti-Tumor Efficacy of PR-171, a Novel Inhibitor of the 20S Proteasome.. Blood. 106(11). 609–609. 2 indexed citations
8.
Demo, Susan D., Tonia J. Buchholz, Guy J. Laidig, et al.. (2005). Biochemical and Cellular Characterization of the Novel Proteasome Inhibitor PR-171.. Blood. 106(11). 1588–1588. 13 indexed citations
9.
Wagner, Peter J. & Guy J. Laidig. (1991). Enol ether formation by disproportionation of the 1,5-biradical intermediate in the photocyclization of o-isopropoxybenzophenone. Tetrahedron Letters. 32(7). 895–898. 14 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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