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D-Index & Metrics

Biology and Biochemistry

D-Index
56
Citations
26538
World Ranking
14137
National Ranking
5960

Overview

Sean C. Bendall is affiliated with Stanford University in the United States. Their research spans several scientific disciplines, primarily focusing on biochemistry, genetics, molecular biology, medicine, immunology, and microbiology. Key areas of interest within these fields include molecular biology, immunology, oncology, biophysics, and genetics.

Their work covers a range of topics related to cellular and immunological research. Main research themes include single-cell and spatial transcriptomics, cell image analysis techniques, immune cell function and interaction, T-cell and B-cell immunology, CAR-T cell therapy research, immunotherapy and immune responses, and the role of immune cells in cancer.

Sean C. Bendall has contributed to several recent papers with notable publications such as:

  • Whole-cell segmentation of tissue images with human-level performance using large-scale data annotation and deep learning, 2021, Nature Biotechnology
  • Transition to invasive breast cancer is associated with progressive changes in the structure and composition of tumor stroma, 2022, Cell
  • Single-cell metabolic profiling of human cytotoxic T cells, 2020, Nature Biotechnology
  • The immunoregulatory landscape of human tuberculosis granulomas, 2022, Nature Immunology
  • An Integrated Multi-omic Single-Cell Atlas of Human B Cell Identity, 2020, Immunity

Frequent collaborators in their research include Michael Angelo, Reema Baskar, Marc Bossé, David R. Glass, and Felix J. Hartmann.

Their publications are prominently featured in venues such as bioRxiv (Cold Spring Harbor Laboratory), Zenodo (CERN European Organization for Nuclear Research), Cancer Research, Nature Communications, and Blood.

Best Publications

  • Single-Cell Mass Cytometry of Differential Immune and Drug Responses Across a Human Hematopoietic Continuum

    Sean C. Bendall;Erin F. Simonds;Peng Qiu;El Ad D. Amir

  • Data-Driven Phenotypic Dissection of AML Reveals Progenitor-like Cells that Correlate with Prognosis.

    Jacob H. Levine;Erin F. Simonds;Sean C. Bendall;Kara L. Davis

  • viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia

    El-ad David Amir;Kara L Davis;Michelle D Tadmor;Erin F Simonds

  • Multiplexed ion beam imaging of human breast tumors

    Michael Angelo;Sean C Bendall;Rachel Finck;Matthew B Hale

  • Extracting a cellular hierarchy from high-dimensional cytometry data with SPADE

    Peng Qiu;Erin F Simonds;Sean C Bendall;Kenneth D Gibbs

  • Systemic Immunity Is Required for Effective Cancer Immunotherapy

    Matthew H. Spitzer;Yaron Carmi;Yaron Carmi;Nathan E. Reticker-Flynn;Serena S. Kwek

  • Single-Cell Trajectory Detection Uncovers Progression and Regulatory Coordination in Human B Cell Development

    Sean C. Bendall;Kara L. Davis;El-ad David Amir;Michelle D. Tadmor

  • A Structured Tumor-Immune Microenvironment in Triple Negative Breast Cancer Revealed by Multiplexed Ion Beam Imaging

    Leeat Keren;Marc Bosse;Diana Marquez;Roshan Angoshtari

  • IGF and FGF cooperatively establish the regulatory stem cell niche of pluripotent human cells in vitro

    Sean C. Bendall;Morag H. Stewart;Pablo Menendez;Dustin George

  • A deep profiler's guide to cytometry.

    Sean C. Bendall;Garry P. Nolan;Mario Roederer;Pratip K. Chattopadhyay

  • Normalization of mass cytometry data with bead standards

    Rachel Finck;Erin F. Simonds;Astraea Jager;Smita Krishnaswamy

  • Cytometry by Time-of-Flight Shows Combinatorial Cytokine Expression and Virus-Specific Cell Niches within a Continuum of CD8+ T Cell Phenotypes

    Evan W. Newell;Natalia Sigal;Sean C. Bendall;Garry P. Nolan

  • Wishbone identifies bifurcating developmental trajectories from single-cell data.

    Manu Setty;Michelle D Tadmor;Shlomit Reich-Zeliger;Omer Angel

  • Multiplexed mass cytometry profiling of cellular states perturbed by small-molecule regulators

    Bernd Bodenmiller;Eli R Zunder;Rachel Finck;Tiffany J Chen

  • Whole-cell segmentation of tissue images with human-level performance using large-scale data annotation and deep learning.

    Noah F. Greenwald;Geneva Miller;Erick Moen;Alex Kong

  • A HUPO test sample study reveals common problems in mass spectrometry–based proteomics

    Alexander W. Bell;Eric W. Deutsch;Catherine E. Au;Robert E. Kearney

  • MIBI-TOF: A multiplexed imaging platform relates cellular phenotypes and tissue structure

    Leeat Keren;Marc Bosse;Steve Thompson;Tyler Risom

  • Clinical recovery from surgery correlates with single-cell immune signatures.

    Brice Gaudillière;Gabriela K. Fragiadakis;Robert V. Bruggner;Monica Nicolau

  • The transcriptional landscape of αβ T cell differentiation

    Michael Mingueneau;Taras Kreslavsky;Daniel Gray;Daniel Gray;Tracy Heng

  • An Interactive Reference Framework for Modeling a Dynamic Immune System

    Matthew H. Spitzer;Pier Federico Gherardini;Gabriela K. Fragiadakis;Nupur Bhattacharya

Frequent Co-Authors

Garry P. Nolan
Garry P. Nolan Stanford University
Mark M. Davis
Mark M. Davis Stanford University
Dana Pe'er
Dana Pe'er Memorial Sloan Kettering Cancer Center
Mickie Bhatia
Mickie Bhatia McMaster University
Robert Tibshirani
Robert Tibshirani Stanford University
Holden T. Maecker
Holden T. Maecker Stanford University
Gilles A. Lajoie
Gilles A. Lajoie University of Western Ontario
Thomas J. Montine
Thomas J. Montine Stanford University
Connie J. Eaves
Connie J. Eaves University of British Columbia
David A. Largaespada
David A. Largaespada University of Minnesota

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