Ed Luther

2.7k total citations · 1 hit paper
37 papers, 2.2k citations indexed

About

Ed Luther is a scholar working on Molecular Biology, Biophysics and Biomaterials. According to data from OpenAlex, Ed Luther has authored 37 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 14 papers in Biophysics and 8 papers in Biomaterials. Recurrent topics in Ed Luther's work include Cell Image Analysis Techniques (14 papers), Nanoparticle-Based Drug Delivery (8 papers) and Molecular Biology Techniques and Applications (6 papers). Ed Luther is often cited by papers focused on Cell Image Analysis Techniques (14 papers), Nanoparticle-Based Drug Delivery (8 papers) and Molecular Biology Techniques and Applications (6 papers). Ed Luther collaborates with scholars based in United States, Brazil and Saudi Arabia. Ed Luther's co-authors include Timothy A. Springer, Stephen J. Roth, Shannon Rose, Louis A. Kamentsky, Vladimir P. Torchilin, Can Sarısözen, Elena Holden, Zbigniew Darżynkiewicz, Frank Traganos and Xuan Huang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Ed Luther

34 papers receiving 2.2k citations

Hit Papers

Monocyte chemoattractant protein 1 acts as a T-lymphocyte... 1994 2026 2004 2015 1994 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ed Luther United States 19 961 727 537 225 216 37 2.2k
Juliane Winkler Germany 15 1.8k 1.9× 369 0.5× 668 1.2× 114 0.5× 399 1.8× 20 2.9k
Yoshikazu Tsuzuki Japan 25 840 0.9× 513 0.7× 435 0.8× 51 0.2× 319 1.5× 78 2.3k
Peter McCourt Norway 28 972 1.0× 434 0.6× 210 0.4× 100 0.4× 271 1.3× 66 2.7k
Marı́a C. Montoya Spain 30 1.4k 1.4× 1.4k 1.9× 652 1.2× 70 0.3× 284 1.3× 50 3.6k
Raanan Margalit Israel 30 869 0.9× 914 1.3× 419 0.8× 64 0.3× 151 0.7× 65 3.1k
Shan Liao China 27 1.2k 1.2× 984 1.4× 1.4k 2.6× 202 0.9× 382 1.8× 79 3.3k
Ana Rouzaut Spain 32 1.1k 1.1× 1.5k 2.1× 1.4k 2.7× 73 0.3× 251 1.2× 60 3.2k
Ilse Hurbain France 32 1.8k 1.9× 488 0.7× 317 0.6× 88 0.4× 87 0.4× 49 3.4k
Mary M. Tomayko United States 21 1.2k 1.2× 1.8k 2.5× 1.0k 1.9× 116 0.5× 225 1.0× 41 4.0k
Panomwat Amornphimoltham United States 32 2.1k 2.2× 616 0.8× 1.1k 2.1× 47 0.2× 160 0.7× 55 3.7k

Countries citing papers authored by Ed Luther

Since Specialization
Citations

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

Fields of papers citing papers by Ed Luther

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ed Luther

This figure shows the co-authorship network connecting the top 25 collaborators of Ed Luther. A scholar is included among the top collaborators of Ed Luther 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 Ed Luther. Ed Luther 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.
Filipczak, Nina, et al.. (2024). Disulfiram-containing polymeric nanocapsules with anticancer activity for cancer treatment. International Journal of Pharmaceutics. 669. 125059–125059. 1 indexed citations
2.
Yalamarty, Satya Siva Kishan, et al.. (2024). Evaluation of mAb 2C5-modified dendrimer-based micelles for the co-delivery of siRNA and chemotherapeutic drug in xenograft mice model. Drug Delivery and Translational Research. 14(8). 2171–2185. 1 indexed citations
3.
Mendes, Lívia P., Kobra Rostamizadeh, Kandace Gollomp, et al.. (2020). Monoclonal antibody 2C5 specifically targets neutrophil extracellular traps. mAbs. 12(1). 1850394–1850394. 10 indexed citations
5.
Zhang, Yilin, Shravan Kumar Sriraman, Hilary A. Kenny, et al.. (2016). Reversal of Chemoresistance in Ovarian Cancer by Co-Delivery of a P-Glycoprotein Inhibitor and Paclitaxel in a Liposomal Platform. Molecular Cancer Therapeutics. 15(10). 2282–2293. 59 indexed citations
6.
Sriraman, Shravan Kumar, et al.. (2015). Cytotoxicity of PEGylated liposomes co-loaded with novel pro-apoptotic drug NCL-240 and the MEK inhibitor cobimetinib against colon carcinoma in vitro. Journal of Controlled Release. 220(Pt A). 160–168. 18 indexed citations
7.
Sriraman, Shravan Kumar, Jiayi Pan, Can Sarısözen, Ed Luther, & Vladimir P. Torchilin. (2015). Enhanced Cytotoxicity of Folic Acid-Targeted Liposomes Co-Loaded with C6 Ceramide and Doxorubicin: In Vitro Evaluation on HeLa, A2780-ADR, and H69-AR Cells. Molecular Pharmaceutics. 13(2). 428–437. 50 indexed citations
8.
Sriraman, Shravan Kumar, Yilin Zhang, Ed Luther, et al.. (2015). Abstract 4416: Reversal of chemoresistance in ovarian cancer cells by the liposomal co-delivery of MDR inhibitors and paclitaxel. Cancer Research. 75(15_Supplement). 4416–4416. 1 indexed citations
9.
Leifert, Wayne R., Maxime François, Philip Thomas, et al.. (2011). Automation of the Buccal Micronucleus Cytome Assay Using Laser Scanning Cytometry. Methods in cell biology. 102. 321–339. 18 indexed citations
10.
Deaton, Ryan, Anup Amatya, Virgilia Macias, et al.. (2011). Subcellular localization of p27 and prostate cancer recurrence: automated digital microscopy analysis of tissue microarrays. Human Pathology. 42(6). 873–881. 12 indexed citations
11.
Darżynkiewicz, Zbigniew, Piotr Smolewski, Ed Luther, et al.. (2010). Laser scanning cytometry for automation of the micronucleus assay. Mutagenesis. 26(1). 153–161. 27 indexed citations
12.
Bogen, Steven A., et al.. (2009). Experimental Validation of Peptide Immunohistochemistry Controls. Applied immunohistochemistry & molecular morphology. 17(3). 239–246. 13 indexed citations
13.
Holden, Elena & Ed Luther. (2008). A novel approach to automated quantitative analysis of HER2 expression. Clinical Cancer Research. 14.
14.
Luther, Ed & William R. Geddie. (2008). Laser scatter in clinical applications. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 6864. 686412–686412. 2 indexed citations
15.
Schwock, Joerg, Jcm Ho, Ed Luther, David W. Hedley, & William R. Geddie. (2007). Measurement of Signaling Pathway Activities in Solid Tumor Fine-needle Biopsies by Slide-based Cytometry. Diagnostic Molecular Pathology. 16(3). 130–140. 13 indexed citations
16.
Luther, Ed, et al.. (2004). Next-Generation Laser Scanning Cytometry. Methods in cell biology. 75. 185–218. 27 indexed citations
17.
Huang, Xuan, Masaki Okafuji, Frank Traganos, et al.. (2004). Assessment of histone H2AX phosphorylation induced by DNA topoisomerase I and II inhibitors topotecan and mitoxantrone and by the DNA cross‐linking agent cisplatin. Cytometry Part A. 58A(2). 99–110. 177 indexed citations
18.
Kamentsky, Louis A., et al.. (1997). Slide-Based Laser Scanning Cytometry. Acta Cytologica. 41(1). 123–143. 151 indexed citations
19.
Xu, Haitan, et al.. (1996). Characterization of murine intercellular adhesion molecule-2. The Journal of Immunology. 156(12). 4909–4914. 48 indexed citations
20.
Luther, Ed & Louis A. Kamentsky. (1996). Resolution of mitotic cells using laser scanning cytometry. Cytometry. 23(4). 272–278. 73 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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