Sean Lawler

14.3k total citations · 4 hit papers
145 papers, 10.0k citations indexed

About

Sean Lawler is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Sean Lawler has authored 145 papers receiving a total of 10.0k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Molecular Biology, 43 papers in Oncology and 33 papers in Cancer Research. Recurrent topics in Sean Lawler's work include MicroRNA in disease regulation (26 papers), Virus-based gene therapy research (21 papers) and CAR-T cell therapy research (18 papers). Sean Lawler is often cited by papers focused on MicroRNA in disease regulation (26 papers), Virus-based gene therapy research (21 papers) and CAR-T cell therapy research (18 papers). Sean Lawler collaborates with scholars based in United States, United Kingdom and Germany. Sean Lawler's co-authors include Josie Hayes, E. Antonio Chiocca, Pier Paolo Peruzzi, Jakub Godlewski, Michal O. Nowicki, Agnieszka Bronisz, Maria C. Speranza, Ruey‐Hwa Chen, Rik Derynck and Reinhard Ebner and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Sean Lawler

140 papers receiving 9.8k citations

Hit Papers

MicroRNAs in cancer: biomarkers, functions and therapy 2008 2026 2014 2020 2014 2008 2008 2016 500 1000 1.5k

Peers

Sean Lawler
Linda Rodgers United States
Vivek Mittal United States
Tan A. Ince United States
Gordon Stamp United Kingdom
Marc Vooijs Netherlands
Dean W. Felsher United States
John Laterra United States
Linda Rodgers United States
Sean Lawler
Citations per year, relative to Sean Lawler Sean Lawler (= 1×) peers Linda Rodgers

Countries citing papers authored by Sean Lawler

Since Specialization
Citations

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

Fields of papers citing papers by Sean Lawler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sean Lawler

This figure shows the co-authorship network connecting the top 25 collaborators of Sean Lawler. A scholar is included among the top collaborators of Sean Lawler 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 Sean Lawler. Sean Lawler 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.
Lawler, Sean, et al.. (2025). Bistable dynamics of TAN-NK cells in tumor growth and control of radiotherapy-induced neutropenia in lung cancer treatment. Mathematical Biosciences & Engineering. 22(4). 744–809. 1 indexed citations
2.
Koch, Marilin, Michal O. Nowicki, Véronique Mathieu, et al.. (2022). Self-assembled ruthenium and osmium nanosystems display a potent anticancer profile by interfering with metabolic activity. Inorganic Chemistry Frontiers. 9(11). 2594–2607. 5 indexed citations
3.
Lara‐Reyna, Samuel, et al.. (2022). Inflammasome activation: from molecular mechanisms to autoinflammation. Clinical & Translational Immunology. 11(7). e1404–e1404. 32 indexed citations
4.
Koch, Marilin, Mykola Zdioruk, Michal O. Nowicki, et al.. (2022). Perturbing DDR signaling enhances cytotoxic effects of local oncolytic virotherapy and modulates the immune environment in glioma. Molecular Therapy — Oncolytics. 26. 275–288. 6 indexed citations
5.
Lawler, Sean, et al.. (2021). The Multifaceted Role of Macrophages in Oncolytic Virotherapy. Viruses. 13(8). 1570–1570. 18 indexed citations
6.
Fadzen, Colin M., Justin M. Wolfe, Wen Zhou, et al.. (2020). A Platinum(IV) Prodrug—Perfluoroaryl Macrocyclic Peptide Conjugate Enhances Platinum Uptake in the Brain. Journal of Medicinal Chemistry. 63(13). 6741–6747. 28 indexed citations
7.
Storey, Kathleen M., Sean Lawler, & Trachette L. Jackson. (2020). Modeling Oncolytic Viral Therapy, Immune Checkpoint Inhibition, and the Complex Dynamics of Innate and Adaptive Immunity in Glioblastoma Treatment. Frontiers in Physiology. 11. 151–151. 49 indexed citations
8.
Passaro, Carmela, Quazim A. Alayo, Isabel DeLaura, et al.. (2018). Arming an Oncolytic Herpes Simplex Virus Type 1 with a Single-chain Fragment Variable Antibody against PD-1 for Experimental Glioblastoma Therapy. Clinical Cancer Research. 25(1). 290–299. 103 indexed citations
9.
Fadzen, Colin M., Justin M. Wolfe, Choi‐Fong Cho, et al.. (2017). Perfluoroarene–Based Peptide Macrocycles to Enhance Penetration Across the Blood–Brain Barrier. Journal of the American Chemical Society. 139(44). 15628–15631. 65 indexed citations
10.
Kim, Jungeun, Ying Zhang, Michael Skalski, et al.. (2014). microRNA-148a Is a Prognostic oncomiR That Targets MIG6 and BIM to Regulate EGFR and Apoptosis in Glioblastoma. Cancer Research. 74(5). 1541–1553. 105 indexed citations
11.
Bronisz, Agnieszka, Yan Wang, Michal O. Nowicki, et al.. (2013). Extracellular Vesicles Modulate the Glioblastoma Microenvironment via a Tumor Suppression Signaling Network Directed by miR-1. Cancer Research. 74(3). 738–750. 197 indexed citations
12.
Jagannathan, Sajjeev, Kazutaka Sumita, Atsuo T. Sasaki, et al.. (2013). The brain microenvironment negatively regulates miRNA-768-3p to promote K-ras expression and lung cancer metastasis. Scientific Reports. 3(1). 2392–2392. 32 indexed citations
13.
Williams, Shanté P., Michal O. Nowicki, Fang Liu, et al.. (2011). Indirubins Decrease Glioma Invasion by Blocking Migratory Phenotypes in Both the Tumor and Stromal Endothelial Cell Compartments. Cancer Research. 71(16). 5374–5380. 60 indexed citations
14.
Agudelo-Garcia, Paula A., Shanté P. Williams, Michal O. Nowicki, et al.. (2011). Glioma Cell Migration on Three-dimensional Nanofiber Scaffolds Is Regulated by Substrate Topography and Abolished by Inhibition of STAT3 Signaling. Neoplasia. 13(9). 831–IN22. 106 indexed citations
15.
Johnson, Jed, Michal O. Nowicki, Cheng‐Han Lee, et al.. (2009). Quantitative Analysis of Complex Glioma Cell Migration on Electrospun Polycaprolactone Using Time-Lapse Microscopy. Tissue Engineering Part C Methods. 15(4). 531–540. 93 indexed citations
16.
Nowicki, Michal O., Nina Dmitrieva, Andrew M. Stein, et al.. (2008). Lithium inhibits invasion of glioma cells; possible involvement of glycogen synthase kinase-3. Neuro-Oncology. 10(5). 690–699. 100 indexed citations
17.
Fulci, Giulia, Nina Dmitrieva, Davide Gianni, et al.. (2007). Depletion of Peripheral Macrophages and Brain Microglia Increases Brain Tumor Titers of Oncolytic Viruses. Cancer Research. 67(19). 9398–9406. 135 indexed citations
18.
Lawler, Sean. (1999). Regulation of actin dynamics: The LIM kinase connection. Current Biology. 9(21). R800–R802. 38 indexed citations
19.
Lawler, Sean, Olivier Gavet, Tina Rich, & André Sobel. (1998). Stathmin overexpression in 293 cells affects signal transduction and cell growth. FEBS Letters. 421(1). 55–60. 21 indexed citations
20.
Rich, T., Sean Lawler, Janet M. Lord, et al.. (1997). HLA class II-induced translocation of PKC alpha and PKC beta II isoforms is abrogated following truncation of DR beta cytoplasmic domains. The Journal of Immunology. 159(8). 3792–3798. 44 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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