Author

Aristidis Veves

Beth Israel Deaconess Medical CenterORCID 0000-0002-3901-4405Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genomics· 1 Immunology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Organism:human· 3 Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Approach:experimental assay· 2 Assay:scRNA-seq· 2 Assay:spatial transcriptomics· 2 Approach:statistical model· 2 Research Focus:batch correction / integration· 1

Frequent Co-Authors

Georgios TheocharidisiD· 3 shared Ikram MezghaniiD· 2 shared Ruxandra F. SîrbulescuiD· 2 shared Ann E. SluderiD· 1 shared Antonella Arruda de AmaraliD· 1 shared Antonio LobaoiD· 1 shared Antonios Kafanas· 1 shared Beena E. ThomasiD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 32 mutual co-author links

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Focal author (center)Selected co-authorORCID co-authorUnlinked name

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3 shared papersImmunology

Georgios TheocharidisORCID

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3 papers

Recent·Most cited

ImmunologybioRxivPreprintNov 9, 2026

Cholinergic modulation engages a CHRM1-IL-17 neuroimmune axis to promote diabetic wound repair

Zhuqing Li, Georgios Theocharidis, Sangmin Lee…·Aristidis Veves

The paper identifies a CHRM1-IL-17 neuroimmune axis that promotes diabetic wound healing through cholinergic modulation and local AChE inhibition.

DOI 10.64898/2026.11.06.764960

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GenomicsNature CommunicationsPeer-reviewedJan 10, 2022

Single Cell Transcriptomic Landscape of Diabetic Foot Ulcers

Georgios Theocharidis, Beena E. Thomas, Debasree Sarkar…·Manoj Bhasin

The paper profiles single-cell RNA sequencing data from diabetic foot ulcers to identify cell types and gene expression patterns associated with wound healing.

473 citationstop 1%

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Systems BiologybioRxivPreprintDec 20, 2021

MIAAIM: Multi-omics image integration and tissue state mapping using topological data analysis and cobordism learning

Joshua M. Hess, Iulian Ilieş, Denis Schapiro…·Ruxandra F. Sîrbulescu

MIAAIM integrates multimodal imaging data across tissue types to map tissue states and link cellular phenotypes with molecular microenvironments.

3 citations

humanspatial transcriptomics

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