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Sloan Kettering Institute Postdocs

Formats
  1. Journal Article (8036)
  2. Meeting Abstract (3693)
  3. Review (630)
  4. Editorial (262)
  5. Book Section (195)
  6. Conference Paper (161)
  7. Research Letter (139)
  8. Correspondence (68)
  9. Miscellaneous (67)
  10. Guidelines (30)
  11. Book Whole (6)
Groups
  1. GSK Faculty (6363)
  2. Department of Medicine (4809)
  3. Sloan Kettering Institute Faculty (3570)
  4. Center for Molecular Imaging and Biotechnology (CMIB) (3037)
  5. Surgery (2633)
  6. Solid Tumor Oncology Division (2604)

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People
  1. Britta Weigelt (376)
  2. Jorge Reis-Filho (328)
  3. Mithat Gonen (318)
  4. Marc Ladanyi (309)
  5. Michael Berger (288)
  6. Joseph Deasy (285)

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Years
  1. 2026 (1)
  2. 2025 (697)
  3. 2024 (1080)
  4. 2023 (1152)
  5. 2022 (1366)
  6. 2021 (1179)

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Publications
  1. Blood (680)
  2. Cancer Research (543)
  3. Journal of Clinical Oncology (431)
  4. Journal of Nuclear Medicine (271)
  5. Annals of Surgical Oncology (264)
  6. Clinical Cancer Research (249)

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Publishers
  1. Nature Publishing Group (1349)
  2. Elsevier Inc. (1106)
  3. American Association for Cancer Research (1058)
  4. Springer (840)
  5. American Society of Hematology (740)
  6. Cell Press (740)

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Results (13287)


Citation style sort is year ascending, and then by author or title. Author ascending is default.
  • Survival impact of anti-GD2 antibody response - A phase II ganglioside vaccine trial in relapsed neuroblastoma
    Meeting Abstract

    Cheung, I. Y.; Cheung, N. K. V.; Modak, S.; Mauguen, A.; Basu, E.; Roberts, S. S.; Ragupathi, G.; Kushner, B. H.
    Cancer Research (2020)

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  • Pulsatile MEK inhibition improves anti-tumor immunity and T cell function in Kras mutant lung cancer
    Meeting Abstract

    Choi, H.; Deng, J.; Li, S.; Silk, T.; Dong, L.; Brea, E. J.; Houghton, S.; Redmond, D.; Zhong, H.; Boiarsky, J.; more...
    Cancer Research (2020)

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  • TRK xDFG mutations trigger a sensitivity switch from type I to II kinase inhibitors
    Meeting Abstract

    Cocco, E.; Lee, J. E.; Kannan, S.; Schram, A. M.; Won, H. H.; Shifman, S.; Kulick, A.; Baldino, L.; Toska, E.; Arena, S.; more...
    Cancer Research (2020)

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  • Cell state diversity promotes metastasis through heterotypic cluster formation in melanoma
    Meeting Abstract

    Campbell, N. R.; Zhang, M.; Baron, M.; Heilmann, S.; Deforet, M.; Ferretti, L.; Huang, T. H.; Levesque, M. P.; Yanai, I.; Xavier, J. B.; more...
    Cancer Research (2020)

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  • Preclinical characterization of PRT543, a potent and selective inhibitor of protein arginine methyltransferase 5 (PRMT5), with broad antitumor activity in in vitro and in vivo models
    Meeting Abstract

    Bhagwat, N.; Zhang, Y.; Lin, H.; Wang, M.; Rominger, D.; Emm, T.; Chugani-Mahtani, D.; Angelis, D.; Shetty, R.; Leal, R.; more...
    Cancer Research (2020)

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  • Oncologic therapy shapes the fitness landscape of clonal hematopoiesis
    Meeting Abstract

    Bolton, K. L.; Ptashkin, R. N.; Gao, T.; Braunstein, L.; Devlin, S. M.; Patel, M.; Berthon, A.; Syed, A.; Yabe, M.; Coombs, C.; more...
    Cancer Research (2020)

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  • CDK12 alterations define a distinct molecular subtype of prostate cancers with unique genomic and clinical characteristics
    Meeting Abstract

    Nguyen, B.; Mota, J. M.; Nandakumar, S.; Stopsack, K. H.; Weg, E.; Rathkopf, D.; Morris, M. J.; Scher, H.; Kantoff, P. W.; Gopalan, A.; more...
    Cancer Research (2020)

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  • OncoMatch: Unbiased, quantitative assessment of cancer model fidelity for drug sensitivity and mechanism of action elucidation
    Meeting Abstract

    Alvarez, M. J.; Pengrong, Y.; Alpaugh, M. L.; Bowden, M.; Sicinska, E. T.; Zhou, C. W.; Karan, C.; Realubit, R. B.; Mundi, P. S.; Grunn, A.; more...
    Cancer Research (2020)

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  • FOXA1 mutations reveal distinct chromatin profiles and influence therapeutic response in breast cancer
    Meeting Abstract

    Arruabarrena-Aristorena, A.; Maag, J. L. V.; Kittane, S.; Cai, Y.; Park, J.; Razavi, P.; Ferrando, L.; Selenica, P.; Karthaus, W. R.; Kannan, S.; more...
    Cancer Research (2020)

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  • Prediction of breast cancer treatment–induced fatigue by machine learning using genome-wide association data
    Journal Article

    Lee, S.; Deasy, J. O.; Oh, J. H.; Di Meglio, A.; Dumas, A.; Menvielle, G.; Charles, C.; Boyault, S.; Rousseau, M.; Besse, C.; more...
    JNCI Cancer Spectrum (2020)

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