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Connection

Vladimir Zharov to Molecular Imaging

This is a "connection" page, showing publications Vladimir Zharov has written about Molecular Imaging.

 
Connection Strength
 
 
 
4.582
 
  1. Galanzha EI, Nedosekin DA, Sarimollaoglu M, Orza AI, Biris AS, Verkhusha VV, Zharov VP. Photoacoustic and photothermal cytometry using photoswitchable proteins and nanoparticles with ultrasharp resonances. J Biophotonics. 2015 Jan; 8(1-2):81-93.
    View in: PubMed
    Score: 0.445
  2. Kim JW, Galanzha EI, Zaharoff DA, Griffin RJ, Zharov VP. Nanotheranostics of circulating tumor cells, infections and other pathological features in vivo. Mol Pharm. 2013 Mar 04; 10(3):813-30.
    View in: PubMed
    Score: 0.423
  3. Galanzha EI, Zharov VP. Photoacoustic flow cytometry. Methods. 2012 Jul; 57(3):280-96.
    View in: PubMed
    Score: 0.404
  4. Tuchin VV, T?rnok A, Zharov VP. In vivo flow cytometry: a horizon of opportunities. Cytometry A. 2011 Oct; 79(10):737-45.
    View in: PubMed
    Score: 0.383
  5. 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.
    View in: PubMed
    Score: 0.382
  6. Nedosekin DA, Khodakovskaya MV, Biris AS, Wang D, Xu Y, Villagarcia H, Galanzha EI, Zharov VP. In vivo plant flow cytometry: a first proof-of-concept. Cytometry A. 2011 Oct; 79(10):855-65.
    View in: PubMed
    Score: 0.382
  7. de la Zerda A, Kim JW, Galanzha EI, Gambhir SS, Zharov VP. Advanced contrast nanoagents for photoacoustic molecular imaging, cytometry, blood test and photothermal theranostics. Contrast Media Mol Imaging. 2011 Sep-Oct; 6(5):346-69.
    View in: PubMed
    Score: 0.382
  8. Galanzha EI, Zharov VP. In vivo photoacoustic and photothermal cytometry for monitoring multiple blood rheology parameters. Cytometry A. 2011 Oct; 79(10):746-57.
    View in: PubMed
    Score: 0.382
  9. 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.
    View in: PubMed
    Score: 0.381
  10. 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.
    View in: PubMed
    Score: 0.379
  11. 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.
    View in: PubMed
    Score: 0.332
  12. 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.
    View in: PubMed
    Score: 0.132
  13. 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.
    View in: PubMed
    Score: 0.103
  14. Kozlova A, Bratashov D, Grishin O, Abdurashitov A, Prikhozhdenko E, Verkhovskii R, Shushunova N, Shashkov E, Zharov VP, Inozemtseva O. Dynamic blood flow phantom for in vivo liquid biopsy standardization. Sci Rep. 2021 01 13; 11(1):1185.
    View in: PubMed
    Score: 0.046
  15. Nedosekin DA, Juratli MA, Sarimollaoglu M, Moore CL, Rusch NJ, Smeltzer MS, Zharov VP, Galanzha EI. Photoacoustic and photothermal detection of circulating tumor cells, bacteria and nanoparticles in cerebrospinal fluid in vivo and ex vivo. J Biophotonics. 2013 Jun; 6(6-7):523-33.
    View in: PubMed
    Score: 0.027
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.