Mark Sangster

Research Professor

University of Rochester

United States

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Mark Sangster is a Research Professor at the University of Rochester in the United States. His research areas focus on vaccinology, particularly the immune responses to viral infections such as COVID-19 and influenza. His recent work includes investigations into the long-term effects of vaccination during therapy for chronic lymphocytic leukemia and the characterization of immune responses to SARS-CoV-2. Professor Sangster's contributions enhance our understanding of memory B cell formation and the effects of adjuvants in vaccine efficacy.

Articles (8)

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2023

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2022

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2021

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2021

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2021

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2020

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2020

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2020

Collaborators (5)

Jiong Wang

Research assistant Professor

University of Rochester Medical Center

UNITED STATES

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Benjamin Miller

University of Rochester

UNITED STATES

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Clive Zent

Professor

University of Rochester

UNITED STATES

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Michael Brady

University of Rochester Medical Center

UNITED STATES

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David J. Topham

University of Rochester Medical Center

UNITED STATES

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Mark Sangster

Research Interests

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Articles (8)

Long‐term results of vaccination with adjuvanted recombinant varicella zoster glycoprotein E during initial Bruton tyrosine kinase inhibitors therapy for chronic lymphocytic leukemia or lymphoplasmacytic lymphoma

Formation and Expansion of Memory B Cells against Coronavirus in Acutely Infected COVID-19 Individuals

Short term results of vaccination with adjuvanted recombinant varicella zoster glycoprotein E during initial BTK inhibitor therapy for CLL or lymphoplasmacytic lymphoma

Squalene-Based Influenza Vaccine Adjuvants and Their Impact on the Hemagglutinin-Specific B Cell Response

Characterization of SARS-CoV-2 RNA, Antibodies, and Neutralizing Capacity in Milk Produced by Women with COVID-19

S Protein-Reactive IgG and Memory B Cell Production after Human SARS-CoV-2 Infection Includes Broad Reactivity to the S2 Subunit

Array-based analysis of SARS-CoV-2, other coronaviruses, and influenza antibodies in convalescent COVID-19 patients.

Implementing sequence-based antigenic distance calculation into immunological shape space model.

Collaborators (5)

Jiong Wang

Benjamin Miller

Clive Zent

Michael Brady

David J. Topham

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