Faculty profile

Jun Ding

ResearcherMeakins-Christie LaboratoriesMcGill University

This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a McGill University directory, so their courses may be missing. Find their university profile.

Jun Ding

Researcher

Meakins-Christie Laboratories

Health Sciences

McGill University

Montreal, Quebec, Canada

Supervision signals

Has led research grants, which requires an independent research appointment. Ask their department whether they supervise graduate students.
39 publications in the last five years, latest in 2026.
Senior (last) author on 15 recent papers, a sign of leading a research group.
Principal investigator on 3 research grants (2 NSERC, 1 CIHR), most recently in 2022.

These signals come from public records, including CIHR, NSERC and SSHRC funding decisions. Ask the professor or the graduate program whether they are taking new students.

Academic metrics

Publications

119

Citations

h-index

Collaborators

Grants

Publications by year

Counts cover the works listed on the university profile; citation counts come from Dimensions.

Profiles and links

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Signals and details

Research

Cellular Dynamics Cmap Drug Repurposing Graphical Models Idiopathic Pulmonary Fibrosis In-Silico Machine Learning Perturbation

Latest papers

GFETM: Genome foundation-based embedded topic model for scATAC-seq modeling.
Cell systems · 2026
Spatial omics in the AI era: Technologies, algorithmic ecosystems, biological applications, and large model perspectives.
iMeta · 2026
Single cell RNA-sequencing meta-analysis identifies the molecular signature of smoking cessation on the human lung.
Translational research : the journal of laboratory and clinical medicine · 2026

All 45 publications

Latest funding

The Sex Hormone Crossroad of Carotid Plaque Instability
CIHR · 2026 · Co-investigator
$589,050
The evolving landscape of Long COVID: identifying dynamic molecular features to improve diagnosis, prognostication and identification of novel treatment targets
CIHR · 2025 · Co-investigator
$100,000
Single-cell multi-omic integration and gene regulatory network inference towards personalized psychiatry for major depressive disorder
CIHR · 2025 · Co-investigator
$933,300

All 12 grants and awards

45 publications.

GFETM: Genome foundation-based embedded topic model for scATAC-seq modeling.

Fan Y, Osakwe A, Han S, Li Y, Ding J, Li Y

Cell systems2026

DOI: 10.1016/j.cels.2026.101563 PMID: 41932342

Spatial omics in the AI era: Technologies, algorithmic ecosystems, biological applications, and large model perspectives.

Wang H, Yang X, Wang S, Yang Z, Yang X, Yang Y, Li Z, Ren Y, Zhang Q, Zhao B, Xiao J, Wang Y, Dong J, Kou Z, Li J, Yang L, Zhao E, Fonseca G, Luo R, Yang M, Cui H, Jia G, Wang D, Li H, Ding J, Yuan Z, Shao H

iMeta2026

DOI: 10.1002/imt2.70146 PMID: 42491402

Single cell RNA-sequencing meta-analysis identifies the molecular signature of smoking cessation on the human lung.

Heimbach NS, Ding J, Eidelman DH, Baglole CJ

Translational research : the journal of laboratory and clinical medicine2026

DOI: 10.1016/j.trsl.2026.06.012 PMID: 42302895

Dissecting and steering cell dynamics using spatially-informed RNA velocity with veloAgent.

Raghavan V, Yoon B, Fonseca GJ, Li Y, Ding J

Molecular systems biology2026Senior author

DOI: 10.1038/s44320-026-00213-w PMID: 42092184

Fine-tuned large language models enhance influenza forecasting.

Li C, Gao W, Zhang Q, Zhang Y, Zhao B, Yang J, Qi L, Ding J, Tian D

Cell reports methods2026

DOI: 10.1016/j.crmeth.2026.101535 PMID: 42492523

Inhibition of epithelial cell YAP-TEAD/LOX signaling attenuates pulmonary fibrosis in preclinical models.

Wagner DE, Alsafadi HN, Mitash N, Justet A, Hu Q, Pineda R, Staab-Weijnitz C, Korfei M, Gvazava N, Wannemo K, Onwuka U, Mozurak M, Estrada-Bernal A, Cala-Garcia J, Mutze K, Costa R, Bölükbas D, Stegmayr J, Skronska-Wasek W, Klee S, Ota C, Baarsma HA, Wang J, Sembrat J, Hilgendorff A, Ding J, Günther A, Chambers R, Rosas I, de Langhe S, Kaminski N, Lehmann M, Eickelberg O, Königshoff M

Nature communications2025

DOI: 10.1038/s41467-025-61795-x PMID: 40753090

Biological responses during high-dose protein nutrition in the critically ill: a randomized controlled trial.

Kristof AS, Hong M, Boufaied N, Tousson-Abouelazm N, Dandamudi S, Joung KB, Hatzakorzian R, Port M, Campisi G, Piccirillo CA, Fonseca GJ, Ding J, Heyland DK, Labbé DP, Wykes L, Schricker T

The American journal of clinical nutrition2025

DOI: 10.1016/j.ajcnut.2025.05.025 PMID: 40617772

DOLPHIN advances single-cell transcriptomics beyond gene level by leveraging exon and junction reads.

Song K, Zheng Y, Zhao B, Eidelman DH, Tang J, Ding J

Nature communications2025Senior author

DOI: 10.1038/s41467-025-61580-w PMID: 40615408

Harnessing agent-based frameworks in CellAgentChat to unravel cell-cell interactions from single-cell and spatial transcriptomics.

Raghavan V, Zheng Y, Li Y, Ding J

Genome research2025Senior author

DOI: 10.1101/gr.279771.124 PMID: 40316422

Single-Cell Multi-Omics Profiling of Immune Cells Isolated from Atherosclerotic Plaques in Male ApoE Knockout Mice Exposed to Arsenic.

Makhani K, Yang X, Dierick F, Subramaniam N, Gagnon N, Ebrahimian T, Lehoux S, Wu H, Ding J, Mann KK

Environmental health perspectives2025

DOI: 10.1289/ehp14285 PMID: 39847705

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Jun Ding

Research

Latest papers

Latest funding

GFETM: Genome foundation-based embedded topic model for scATAC-seq modeling.

Spatial omics in the AI era: Technologies, algorithmic ecosystems, biological applications, and large model perspectives.

Single cell RNA-sequencing meta-analysis identifies the molecular signature of smoking cessation on the human lung.

Dissecting and steering cell dynamics using spatially-informed RNA velocity with veloAgent.

Fine-tuned large language models enhance influenza forecasting.

Inhibition of epithelial cell YAP-TEAD/LOX signaling attenuates pulmonary fibrosis in preclinical models.

Biological responses during high-dose protein nutrition in the critically ill: a randomized controlled trial.

DOLPHIN advances single-cell transcriptomics beyond gene level by leveraging exon and junction reads.

Harnessing agent-based frameworks in CellAgentChat to unravel cell-cell interactions from single-cell and spatial transcriptomics.

Single-Cell Multi-Omics Profiling of Immune Cells Isolated from Atherosclerotic Plaques in Male ApoE Knockout Mice Exposed to Arsenic.

Novel multimodal approaches of decoding cellular dynamics for effective cell fate manipulation

Novel multimodal approaches of decoding cellular dynamics for effective cell fate manipulation

Frequent collaborators

Maziar Divangahi

Eva Kaufmann

Eva Kaufmann

Yue Li

Parameswaran Krishna Nair

John McDonough

Andrea Benedetti

Andrea Benedetti

Simon Rousseau

Jonathan Spicer

Linda Wykes

Ajitha Thanabalasuriar

Thomas Schricker

Stephanie Lehoux

Martin Sirois

Jean Bourbeau

Leora Simon

Ma'en Obeidat