Paul D. Lyne

4.9k total citations · 1 hit paper
66 papers, 2.9k citations indexed

About

Paul D. Lyne is a scholar working on Molecular Biology, Oncology and Organic Chemistry. According to data from OpenAlex, Paul D. Lyne has authored 66 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 28 papers in Oncology and 16 papers in Organic Chemistry. Recurrent topics in Paul D. Lyne's work include Computational Drug Discovery Methods (10 papers), Cytokine Signaling Pathways and Interactions (8 papers) and Lung Cancer Treatments and Mutations (7 papers). Paul D. Lyne is often cited by papers focused on Computational Drug Discovery Methods (10 papers), Cytokine Signaling Pathways and Interactions (8 papers) and Lung Cancer Treatments and Mutations (7 papers). Paul D. Lyne collaborates with scholars based in United States, United Kingdom and Sweden. Paul D. Lyne's co-authors include Jamal Saeh, Michelle L. Lamb, Martin Karplus, Adrian J. Mulholland, W. Graham Richards, William G. Richards, D. Michael P. Mingos, Milan Hodošček, Fabrizio Giordanetto and Hongming Chen and has published in prestigious journals such as Journal of the American Chemical Society, Blood and PLoS ONE.

In The Last Decade

Paul D. Lyne

65 papers receiving 2.8k citations

Hit Papers

Accurate Prediction of the Relative Potencies of Members ... 2006 2026 2012 2019 2006 100 200 300 400 500

Peers

Paul D. Lyne
Matthew Eldridge United Kingdom
Dmitry Lupyan United States
Joseph W. Kaus United States
J. Willem M. Nissink United Kingdom
Chaya S. Rapp United States
Robert C. Rizzo United States
Jennifer L. Knight United States
Paul A. Rejto United States
Glen E. Kellogg United States
Matthew Eldridge United Kingdom
Paul D. Lyne
Citations per year, relative to Paul D. Lyne Paul D. Lyne (= 1×) peers Matthew Eldridge

Countries citing papers authored by Paul D. Lyne

Since Specialization
Citations

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

Fields of papers citing papers by Paul D. Lyne

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul D. Lyne. 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 Paul D. Lyne. The network helps show where Paul D. Lyne may publish in the future.

Co-authorship network of co-authors of Paul D. Lyne

This figure shows the co-authorship network connecting the top 25 collaborators of Paul D. Lyne. A scholar is included among the top collaborators of Paul D. Lyne 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 Paul D. Lyne. Paul D. Lyne 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.
Xu, Hongmei, Ganesh Mugundu, Martin Scott, et al.. (2019). Population pharmacokinetic analysis of danvatirsen supporting flat dosing switch. Journal of Pharmacokinetics and Pharmacodynamics. 46(1). 65–74. 11 indexed citations
2.
Gingipalli, Lakshmaiah, M. Block, Les A. Dakin, et al.. (2018). Discovery of 2,6-disubstituted pyrazine derivatives as inhibitors of CK2 and PIM kinases. Bioorganic & Medicinal Chemistry Letters. 28(8). 1336–1341. 10 indexed citations
3.
Rhyasen, Garrett W., Yi Yao, Jingwen Zhang, et al.. (2018). BRD4 amplification facilitates an oncogenic gene expression program in high-grade serous ovarian cancer and confers sensitivity to BET inhibitors. PLoS ONE. 13(7). e0200826–e0200826. 41 indexed citations
4.
Ross, Sarah J., Alexey S. Revenko, Lyndsey Hanson, et al.. (2017). Targeting KRAS-dependent tumors with AZD4785, a high-affinity therapeutic antisense oligonucleotide inhibitor of KRAS. Science Translational Medicine. 9(394). 143 indexed citations
5.
Borodovsky, Alexandra, Yanjun Wang, Minwei Ye, et al.. (2017). Abstract 5580: Preclinical pharmacodynamics and antitumor activity of AZD4635, a novel adenosine 2A receptor inhibitor that reverses adenosine mediated T cell suppression. Cancer Research. 77(13_Supplement). 5580–5580. 19 indexed citations
7.
Gu, Chungang, Michelle L. Lamb, Jeffrey W. Johannes, et al.. (2016). Modulating the strength of hydrogen bond acceptors to achieve low Caco2 efflux for oral bioavailability of PARP inhibitors blocking centrosome clustering. Bioorganic & Medicinal Chemistry Letters. 26(19). 4775–4780. 5 indexed citations
9.
Dakin, Les A., M. Block, Huawei Chen, et al.. (2012). Discovery of novel benzylidene-1,3-thiazolidine-2,4-diones as potent and selective inhibitors of the PIM-1, PIM-2, and PIM-3 protein kinases. Bioorganic & Medicinal Chemistry Letters. 22(14). 4599–4604. 85 indexed citations
10.
Oza, Vibha, Susan Ashwell, Patrick Brassil, et al.. (2012). Synthesis and evaluation of triazolones as checkpoint kinase 1 inhibitors. Bioorganic & Medicinal Chemistry Letters. 22(6). 2330–2337. 19 indexed citations
11.
Bright, Glen, et al.. (2009). Performance-based analysis of current South African semi-trailer designs. Pharmaceutical Research. 27(82). 132–150. 1 indexed citations
12.
Scott, David A., Brian Aquila, Geraldine Bebernitz, et al.. (2008). Pyridyl and thiazolyl bisamide CSF-1R inhibitors for the treatment of cancer. Bioorganic & Medicinal Chemistry Letters. 18(17). 4794–4797. 14 indexed citations
13.
Lyne, Paul D., Brian Aquila, Les A. Dakin, et al.. (2008). Identification of amidoheteroaryls as potent inhibitors of mutant (V600E) B-Raf kinase with in vivo activity. Bioorganic & Medicinal Chemistry Letters. 19(3). 1026–1029. 7 indexed citations
14.
Chen, Hongming, et al.. (2007). On Evaluating Molecular-Docking Methods for Pose Prediction and Enrichment Factors. [J. Chem. Inf. Model. 46, 401−415 (2006)] by. Journal of Chemical Information and Modeling. 48(1). 246–246. 7 indexed citations
15.
Lyne, Paul D.. (2002). Structure-based virtual screening: an overview. Drug Discovery Today. 7(20). 1047–1055. 469 indexed citations
16.
Várnai, Péter, William G. Richards, & Paul D. Lyne. (1999). Modelling the catalytic reaction in human aldose reductase. Proteins Structure Function and Bioinformatics. 37(2). 218–227. 35 indexed citations
17.
Remko, Milan, Paul D. Lyne, & W. Graham Richards. (1999). Molecular structure, gas-phase acidity and basicity of N-hydroxyurea. Physical Chemistry Chemical Physics. 1(23). 5353–5357. 44 indexed citations
18.
Caravella, Justin A., Paul D. Lyne, & William G. Richards. (1996). A partial model of the erythropoietin receptor complex. Proteins Structure Function and Bioinformatics. 24(3). 394–401. 10 indexed citations
19.
Lyne, Paul D., Paul Bamborough, David S. Duncan, & William G. Richards. (1995). Molecular modeling of the GM‐CSF and IL‐3 receptor complexes. Protein Science. 4(10). 2223–2233. 22 indexed citations
20.
Lyne, Paul D. & Robert O’Neill. (1990). Stearate-modified carbon paste electrodes for detecting dopamine in vivo: decrease in selectivity caused by lipids and other surface-active agents. Analytical Chemistry. 62(21). 2347–2351. 29 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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