Kevin Lawlor

652 total citations
10 papers, 537 citations indexed

About

Kevin Lawlor is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Kevin Lawlor has authored 10 papers receiving a total of 537 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Spectroscopy and 5 papers in Oncology. Recurrent topics in Kevin Lawlor's work include Advanced Proteomics Techniques and Applications (6 papers), Peptidase Inhibition and Analysis (4 papers) and Advanced Biosensing Techniques and Applications (3 papers). Kevin Lawlor is often cited by papers focused on Advanced Proteomics Techniques and Applications (6 papers), Peptidase Inhibition and Analysis (4 papers) and Advanced Biosensing Techniques and Applications (3 papers). Kevin Lawlor collaborates with scholars based in United States, Sweden and United Kingdom. Kevin Lawlor's co-authors include Paul Tempst, Josep Villanueva, Arpi Nazarian, Richard J. Robbins, John Philip, Martin Fleisher, Mariana Yaneva, Alessandra Martorella, Andrew T. Jacovina and Ricardo Toledo‐Crow and has published in prestigious journals such as Journal of Clinical Oncology, Nature Protocols and Journal of Chromatography A.

In The Last Decade

Kevin Lawlor

8 papers receiving 516 citations

Peers

Kevin Lawlor

MB

SPECT

ONCOL

CR

RNMI

Jan Moebius Germany

Sarah Elschenbroich Canada

Kelly Cooke United States

Hannah Johnson United States

Amy J. VanMeter United States

Rikke Raaen Lund Denmark

Joanne Berry United Kingdom

Elizabeth Remily-Wood United States

Tasneem H. Patwa United States

Vinay V. Prabhu United States

Jan Moebius Germany

Kevin Lawlor

388 ×1.0

MB

291 ×1.0

SPECT

45 ×0.4

ONCOL

100 ×1.7

CR

39 ×0.8

RNMI

Citations per year, relative to Kevin Lawlor Kevin Lawlor (= 1×) peers Jan Moebius

Countries citing papers authored by Kevin Lawlor

Since Specialization

Citations

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

Fields of papers citing papers by Kevin Lawlor

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kevin Lawlor. 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 Kevin Lawlor. The network helps show where Kevin Lawlor may publish in the future.

Co-authorship network of co-authors of Kevin Lawlor

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

All Works

Sort: Min cites: Since: Top N: Style:

10 of 10 papers shown

1.

Lawlor, Kevin, A. E. Johnston, Albert S.B. Edge, et al.. (2024). A review of analytical parameters in ‘rapid’ liquid chromatographic methods for bioanalysis: Can we do better?. Journal of Chromatography A. 1721. 464803–464803.

2.

Arance, Ana, Steven O’Day, Luis de la Cruz‐Merino, et al.. (2024). Lenvatinib (len) plus pembrolizumab (pembro) in patients with advanced melanoma that progressed on anti–PD-(L)1 therapy: Over 4 years of follow-up from the phase 2 LEAP-004 study.. Journal of Clinical Oncology. 42(16_suppl). 9559–9559. 1 indexed citations

3.

Huang, Fang-Ke, Guoan Zhang, Kevin Lawlor, et al.. (2017). Deep Coverage of Global Protein Expression and Phosphorylation in Breast Tumor Cell Lines Using TMT 10-plex Isobaric Labeling. Journal of Proteome Research. 16(3). 1121–1132. 46 indexed citations

4.

Nazarian, Arpi, Kevin Lawlor, San San Yi, et al.. (2014). Inhibition of Circulating Dipeptidyl Peptidase 4 Activity in Patients with Metastatic Prostate Cancer. Molecular & Cellular Proteomics. 13(11). 3082–3096. 26 indexed citations

5.

Villanueva, Josep, Arpi Nazarian, Kevin Lawlor, & Paul Tempst. (2009). Monitoring peptidase activities in complex proteomes by MALDI-TOF mass spectrometry. Nature Protocols. 4(8). 1167–1183. 21 indexed citations

6.

Lawlor, Kevin, Arpi Nazarian, Lynne Lacomis, Paul Tempst, & Josep Villanueva. (2009). Pathway-Based Biomarker Search by High-Throughput Proteomics Profiling of Secretomes. Journal of Proteome Research. 8(3). 1489–1503. 68 indexed citations

7.

Villanueva, Josep, Arpi Nazarian, Kevin Lawlor, et al.. (2007). A Sequence-specific Exopeptidase Activity Test (SSEAT) for “Functional” Biomarker Discovery. Molecular & Cellular Proteomics. 7(3). 509–518. 79 indexed citations

8.

Villanueva, Josep, Kevin Lawlor, Ricardo Toledo‐Crow, & Paul Tempst. (2006). Automated serum peptide profiling. Nature Protocols. 1(2). 880–891. 62 indexed citations

9.

Villanueva, Josep, Alessandra Martorella, Kevin Lawlor, et al.. (2006). Serum Peptidome Patterns That Distinguish Metastatic Thyroid Carcinoma from Cancer-free Controls Are Unbiased by Gender and Age. Molecular & Cellular Proteomics. 5(10). 1840–1852. 143 indexed citations

10.

Lawlor, Kevin, et al.. (2004). A Prototype Antibody Microarray Platform to Monitor Changes in Protein Tyrosine Phosphorylation. Molecular & Cellular Proteomics. 3(11). 1102–1118. 91 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.

Explore authors with similar magnitude of impact