Laurie L. Parker

1.7k total citations
56 papers, 1.3k citations indexed

About

Laurie L. Parker is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Hematology. According to data from OpenAlex, Laurie L. Parker has authored 56 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 13 papers in Radiology, Nuclear Medicine and Imaging and 10 papers in Hematology. Recurrent topics in Laurie L. Parker's work include Monoclonal and Polyclonal Antibodies Research (10 papers), Chronic Myeloid Leukemia Treatments (10 papers) and Advanced Biosensing Techniques and Applications (8 papers). Laurie L. Parker is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (10 papers), Chronic Myeloid Leukemia Treatments (10 papers) and Advanced Biosensing Techniques and Applications (8 papers). Laurie L. Parker collaborates with scholars based in United States, United Kingdom and Australia. Laurie L. Parker's co-authors include Andrew M. Lipchik, G. Marc Loudon, Stephen J. Kron, Wei Cui, Scott J. Richardson, Joseph Irudayaraj, Nur P. Damayanti, Stephen B. H. Kent, Ding Wu and Christie L. Eissler and has published in prestigious journals such as Journal of the American Chemical Society, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Laurie L. Parker

54 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Laurie L. Parker United States 20 731 198 186 170 145 56 1.3k
Yan Ling United States 23 1.0k 1.4× 230 1.2× 124 0.7× 81 0.5× 251 1.7× 60 1.8k
Takuya Furuta Japan 22 719 1.0× 272 1.4× 145 0.8× 81 0.5× 268 1.8× 101 1.7k
Huili Zhai United States 24 1.5k 2.1× 411 2.1× 195 1.0× 119 0.7× 222 1.5× 30 2.2k
Wei Lin China 23 925 1.3× 169 0.9× 97 0.5× 75 0.4× 232 1.6× 69 1.5k
Arig Ibrahim‐Hashim United States 17 1.4k 1.9× 614 3.1× 191 1.0× 137 0.8× 83 0.6× 28 2.8k
Miles A. Pufall United States 23 1.7k 2.3× 360 1.8× 112 0.6× 59 0.3× 237 1.6× 41 2.5k
Dominique Bonnet France 28 883 1.2× 287 1.4× 157 0.8× 78 0.5× 405 2.8× 104 2.2k
Masato Maruyama Japan 18 808 1.1× 303 1.5× 118 0.6× 68 0.4× 128 0.9× 74 1.5k
Axel Harrenga Germany 15 1.3k 1.8× 262 1.3× 90 0.5× 182 1.1× 69 0.5× 22 1.8k
Per‐Ola Freskgård Sweden 24 1.5k 2.1× 288 1.5× 102 0.5× 290 1.7× 82 0.6× 41 2.6k

Countries citing papers authored by Laurie L. Parker

Since Specialization
Citations

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

Fields of papers citing papers by Laurie L. Parker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Laurie L. Parker. 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 Laurie L. Parker. The network helps show where Laurie L. Parker may publish in the future.

Co-authorship network of co-authors of Laurie L. Parker

This figure shows the co-authorship network connecting the top 25 collaborators of Laurie L. Parker. A scholar is included among the top collaborators of Laurie L. Parker 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 Laurie L. Parker. Laurie L. Parker 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.
Karanicolas, John, et al.. (2023). Novel Substrate Prediction for the TAM Family of RTKs Using Phosphoproteomics and Structure-Based Modeling. ACS Chemical Biology. 19(1). 117–128.
2.
Higgins, LeeAnn, Todd W. Markowski, Pratik Jagtap, et al.. (2023). An optimized workflow for MS-based quantitative proteomics of challenging clinical bronchoalveolar lavage fluid (BALF) samples. Clinical Proteomics. 20(1). 14–14. 6 indexed citations
3.
Burton, Robert A., Andrew M. Lipchik, Barbara P. Craddock, et al.. (2019). Substrate binding to Src: A new perspective on tyrosine kinase substrate recognition from NMR and molecular dynamics. Protein Science. 29(2). 350–359. 11 indexed citations
4.
Liu, Jing, Karen M. Haas, Laurie L. Parker, et al.. (2019). The nuclear structural protein NuMA is a negative regulator of 53BP1 in DNA double-strand break repair. Nucleic Acids Research. 47(6). 2703–2715. 29 indexed citations
5.
Dickey, Deborah M., Vinh Nguyen, Sarah J. Parker, et al.. (2019). Multiomic Profiling of Tyrosine Kinase Inhibitor-Resistant K562 Cells Suggests Metabolic Reprogramming To Promote Cell Survival. Journal of Proteome Research. 18(4). 1842–1856. 18 indexed citations
6.
McClellan, Mark, et al.. (2019). A Gradient in Metaphase Tension Leads to a Scaled Cellular Response in Mitosis. Developmental Cell. 49(1). 63–76.e10. 24 indexed citations
7.
Najt, Charles P., Salmaan Khan, Timothy D. Heden, et al.. (2019). Lipid Droplet-Derived Monounsaturated Fatty Acids Traffic via PLIN5 to Allosterically Activate SIRT1. Molecular Cell. 77(4). 810–824.e8. 119 indexed citations
8.
Abdalla, Ibrahim, et al.. (2019). Assays for tyrosine phosphorylation in human cells. Methods in enzymology on CD-ROM/Methods in enzymology. 626. 375–406. 3 indexed citations
9.
Lou, Hua Jane, et al.. (2018). In Silico Design and in Vitro Characterization of Universal Tyrosine Kinase Peptide Substrates. Biochemistry. 57(12). 1847–1851. 5 indexed citations
10.
11.
Damayanti, Nur P., Laurie L. Parker, & Joseph Irudayaraj. (2013). Fluorescence Lifetime Imaging of Biosensor Peptide Phosphorylation in Single Live Cells. Angewandte Chemie. 125(14). 4023–4026. 7 indexed citations
12.
Eissler, Christie L., et al.. (2013). A Multiple Reaction Monitoring (MRM) Method to Detect Bcr-Abl Kinase Activity in CML Using a Peptide Biosensor. PLoS ONE. 8(2). e56627–e56627. 10 indexed citations
13.
Damayanti, Nur P., Laurie L. Parker, & Joseph Irudayaraj. (2013). Fluorescence Lifetime Imaging of Biosensor Peptide Phosphorylation in Single Live Cells. Angewandte Chemie International Edition. 52(14). 3931–3934. 43 indexed citations
14.
Eissler, Christie L., et al.. (2011). A general strategy for studying multisite protein phosphorylation using label-free selected reaction monitoring mass spectrometry. Analytical Biochemistry. 418(2). 267–275. 9 indexed citations
15.
Wu, Ding, et al.. (2010). Peptide reporters of kinase activity in whole cell lysates. Biopolymers. 94(4). 475–486. 32 indexed citations
16.
Parker, Laurie L. & Stephen J. Kron. (2008). Kinase activation in circulating cells: opportunities for biomarkers for diagnosis and therapeutic monitoring. Expert Opinion on Medical Diagnostics. 2(1). 33–46. 2 indexed citations
17.
Parker, Laurie L., Kevin Drew, George F. Steinhardt, et al.. (2007). Investigating quantitation of phosphorylation using MALDI‐TOF mass spectrometry. Journal of Mass Spectrometry. 43(4). 518–527. 15 indexed citations
18.
Wu, Ding, et al.. (2007). A solid-phase Bcr-Abl kinase assay in 96-well hydrogel plates. Analytical Biochemistry. 375(1). 18–26. 20 indexed citations
19.
Parker, Laurie L., Josh W. Kurutz, Stephen B. H. Kent, & Stephen J. Kron. (2006). Control of the Yeast Cell Cycle with a Photocleavable α‐Factor Analogue. Angewandte Chemie. 118(38). 6470–6473. 7 indexed citations
20.
Shieh, Bih‐Hwa, Laurie L. Parker, & Daniela C. Popescu. (2002). Protein Kinase C (PKC) Isoforms in Drosophila. The Journal of Biochemistry. 132(4). 523–527. 36 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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