Author

Nicholas Chiorazzi

Northwell HealthORCID 0000-0003-1023-6650Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Approach:experimental assay· 2 Organism:human· 2 Assay:proteomics· 2 Research Focus:protein structure prediction· 1 Approach:statistical model· 1 Research Focus:variant calling· 1 Assay:whole-genome sequencing· 1

Frequent Co-Authors

Christoph SchultheißiD· 2 shared Heinz Philipp LaubliiD· 2 shared Lukas Egli· 2 shared Mascha BinderiD· 2 shared Obinna ChijiokeiD· 2 shared Sebastian KoboldiD· 2 shared Shih‐Shih CheniD· 2 shared Andreas ZinggiD· 1 shared

Activity by Year

2017-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 43 mutual co-author links

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Curved chords = mutual co-authorship

2 shared papersCancer Biology

Christoph SchultheißORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Cancer BiologyHaematologicaPeer-reviewedSep 11, 2025

IGLV3-21-R110-directed bispecific antibodies activate T cells and promote killing in a high-risk subset of chronic lymphocytic leukemia

Claudia Fischer, Shih‐Shih Chen, Johanna Nimmerfroh…·Mascha Binder

This study develops bispecific antibodies targeting IGLV3-21R110 to selectively kill high-risk CLL cells while sparing healthy B cells and stem cells.

1 citation

humanproteomics

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Cancer BiologyNature CommunicationsPeer-reviewedFeb 2, 2024

Mutation-specific CAR T cells as precision therapy for IGLV3-21R110 expressing high-risk chronic lymphocytic leukemia

Florian Märkl, Christoph Schultheiß, Murtaza Ali…·Mascha Binder

This study develops CAR T cells targeting a specific mutation in CLL to selectively kill cancer cells while sparing healthy B cells.

15 citations

humanproteomics

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BioinformaticsJournal of Statistical PhysicsPeer-reviewedDec 21, 2017

On statistical modeling of sequencing noise in high depth data to assess tumor evolution

Raúl Rabadán, Gyan V Bhanot, Sonia Marsilio…·Hossein Khiabanian

This paper develops a statistical model for sequencing noise in high-depth data to identify mutations associated with tumor progression and recurrence.

11 citations

whole-genome sequencingstatistical model

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