 Connection
Ekaterina Galanzha to Mice, Nude
This is a "connection" page, showing publications Ekaterina Galanzha has written about Mice, Nude.
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Connection Strength |
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0.933 |
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Galanzha EI, Weingold R, Nedosekin DA, Sarimollaoglu M, Nolan J, Harrington W, Kuchyanov AS, Parkhomenko RG, Watanabe F, Nima Z, Biris AS, Plekhanov AI, Stockman MI, Zharov VP. Spaser as a biological probe. Nat Commun. 2017 06 08; 8:15528.
Score: 0.141
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Galanzha EI, Viegas MG, Malinsky TI, Melerzanov AV, Juratli MA, Sarimollaoglu M, Nedosekin DA, Zharov VP. In vivo acoustic and photoacoustic focusing of circulating cells. Sci Rep. 2016 Mar 16; 6:21531.
Score: 0.129
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Nedosekin DA, Verkhusha VV, Melerzanov AV, Zharov VP, Galanzha EI. In vivo photoswitchable flow cytometry for direct tracking of single circulating tumor cells. Chem Biol. 2014 Jun 19; 21(6):792-801.
Score: 0.114
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Galanzha EI, Shashkov E, Sarimollaoglu M, Beenken KE, Basnakian AG, Shirtliff ME, Kim JW, Smeltzer MS, Zharov VP. In vivo magnetic enrichment, photoacoustic diagnosis, and photothermal purging of infected blood using multifunctional gold and magnetic nanoparticles. PLoS One. 2012; 7(9):e45557.
Score: 0.102
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Galanzha EI, Sarimollaoglu M, Nedosekin DA, Keyrouz SG, Mehta JL, Zharov VP. In vivo flow cytometry of circulating clots using negative photothermal and photoacoustic contrasts. Cytometry A. 2011 Oct; 79(10):814-24.
Score: 0.094
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Galanzha EI, Shashkov EV, Tuchin VV, Zharov VP. In vivo multispectral, multiparameter, photoacoustic lymph flow cytometry with natural cell focusing, label-free detection and multicolor nanoparticle probes. Cytometry A. 2008 Oct; 73(10):884-94.
Score: 0.077
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Nolan J, Nedosekin DA, Galanzha EI, Zharov VP. Detection of Apoptotic Circulating Tumor Cells Using in vivo Fluorescence Flow Cytometry. Cytometry A. 2019 06; 95(6):664-671.
Score: 0.039
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Nolan J, Sarimollaoglu M, Nedosekin DA, Jamshidi-Parsian A, Galanzha EI, Kore RA, Griffin RJ, Zharov VP. In Vivo Flow Cytometry of Circulating Tumor-Associated Exosomes. Anal Cell Pathol (Amst). 2016; 2016:1628057.
Score: 0.034
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Juratli MA, Menyaev YA, Sarimollaoglu M, Siegel ER, Nedosekin DA, Suen JY, Melerzanov AV, Juratli TA, Galanzha EI, Zharov VP. Real-Time Label-Free Embolus Detection Using In Vivo Photoacoustic Flow Cytometry. PLoS One. 2016; 11(5):e0156269.
Score: 0.033
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Juratli MA, Siegel ER, Nedosekin DA, Sarimollaoglu M, Jamshidi-Parsian A, Cai C, Menyaev YA, Suen JY, Galanzha EI, Zharov VP. In Vivo Long-Term Monitoring of Circulating Tumor Cells Fluctuation during Medical Interventions. PLoS One. 2015; 10(9):e0137613.
Score: 0.031
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Juratli MA, Sarimollaoglu M, Siegel ER, Nedosekin DA, Galanzha EI, Suen JY, Zharov VP. Real-time monitoring of circulating tumor cell release during tumor manipulation using in vivo photoacoustic and fluorescent flow cytometry. Head Neck. 2014 Aug; 36(8):1207-15.
Score: 0.028
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Proskurnin MA, Zhidkova TV, Volkov DS, Sarimollaoglu M, Galanzha EI, Mock D, Nedosekin DA, Zharov VP. In vivo multispectral photoacoustic and photothermal flow cytometry with multicolor dyes: a potential for real-time assessment of circulation, dye-cell interaction, and blood volume. Cytometry A. 2011 Oct; 79(10):834-47.
Score: 0.024
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Nedosekin DA, Sarimollaoglu M, Ye JH, Galanzha EI, Zharov VP. In vivo ultra-fast photoacoustic flow cytometry of circulating human melanoma cells using near-infrared high-pulse rate lasers. Cytometry A. 2011 Oct; 79(10):825-33.
Score: 0.023
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Nedosekin DA, Shashkov EV, Galanzha EI, Hennings L, Zharov VP. Photothermal multispectral image cytometry for quantitative histology of nanoparticles and micrometastasis in intact, stained and selectively burned tissues. Cytometry A. 2010 Nov; 77(11):1049-58.
Score: 0.022
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Nedosekin DA, Sarimollaoglu M, Shashkov EV, Galanzha EI, Zharov VP. Ultra-fast photoacoustic flow cytometry with a 0.5 MHz pulse repetition rate nanosecond laser. Opt Express. 2010 Apr 12; 18(8):8605-20.
Score: 0.021
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Kim JW, Galanzha EI, Shashkov EV, Moon HM, Zharov VP. Golden carbon nanotubes as multimodal photoacoustic and photothermal high-contrast molecular agents. Nat Nanotechnol. 2009 Oct; 4(10):688-94.
Score: 0.021
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Connection Strength
The connection strength for concepts is the sum of the scores for each matching publication.
Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
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