Harvard Catalyst Profiles

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Nir Hacohen, Ph.D.

Co-Author

This page shows the publications co-authored by Nir Hacohen and Arnav Mehta.
Connection Strength

0.957
  1. Plasma from patients with bacterial sepsis or severe COVID-19 induces suppressive myeloid cell production from hematopoietic progenitors in vitro. Sci Transl Med. 2021 06 16; 13(598).
    View in: PubMed
    Score: 0.245
  2. Induction of a regulatory myeloid program in bacterial sepsis and severe COVID-19. bioRxiv. 2020 Sep 02.
    View in: PubMed
    Score: 0.233
  3. Plasma P-selectin is an early marker of thromboembolism in COVID-19. medRxiv. 2021 Jul 14.
    View in: PubMed
    Score: 0.062
  4. SARS-CoV-2 viremia is associated with distinct proteomic pathways and predicts COVID-19 outcomes. J Clin Invest. 2021 07 01; 131(13).
    View in: PubMed
    Score: 0.062
  5. Longitudinal proteomic analysis of severe COVID-19 reveals survival-associated signatures, tissue-specific cell death, and cell-cell interactions. Cell Rep Med. 2021 May 18; 2(5):100287.
    View in: PubMed
    Score: 0.061
  6. SARS-CoV-2 Viremia is Associated with Distinct Proteomic Pathways and Predicts COVID-19 Outcomes. medRxiv. 2021 Feb 26.
    View in: PubMed
    Score: 0.060
  7. Temporal and spatial heterogeneity of host response to SARS-CoV-2 pulmonary infection. Nat Commun. 2020 12 09; 11(1):6319.
    View in: PubMed
    Score: 0.059
  8. Plasma proteomics reveals tissue-specific cell death and mediators of cell-cell interactions in severe COVID-19 patients. bioRxiv. 2020 Nov 03.
    View in: PubMed
    Score: 0.059
  9. Fitness Landscape of Clonal Hematopoiesis Under Selective Pressure of Immune Checkpoint Blockade. JCO Precis Oncol. 2020; 4.
    View in: PubMed
    Score: 0.058
  10. Temporal and Spatial Heterogeneity of Host Response to SARS-CoV-2 Pulmonary Infection. medRxiv. 2020 Aug 02.
    View in: PubMed
    Score: 0.058
Connection Strength
The connection strength for co-authors is the sum of the scores for each of their shared publications.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.