Author

Joel Chaim Sunshine

Johns Hopkins UniversityORCID 0000-0001-9987-6712Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Approach:deep learning· 1 Assay:imaging· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Aleksandra OgurtsovaiD· 1 shared Alexa Fiorante· 1 shared Alexander S. SzalayiD· 1 shared Andrew Jorquera· 1 shared Ashley L. KiemeniD· 1 shared Bartholomew StarichiD· 1 shared Benjamin GreeniD· 1 shared Boyang ZhangiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

Click any collaborator node to inspect or filter shared papers

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

Curved chords = mutual co-authorship

1 shared paperPathology

Aleksandra OgurtsovaORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

PathologybioRxivPreprintAug 13, 2025

Novel Predictive Spatial Biomarker in Non-Small Cell Lung Carcinoma: The Diversity of Niches Unlocking Treatment Sensitivity (DONUTS)

Tricia R. Cottrell, Jeffrey S. Roskes, Michael Fotheringham…·Janis Marie Taube

The paper develops a spatial biomarker, DONUTS, to predict treatment response in lung cancer by analyzing the niche surrounding CD8+FoxP3+ T-cells.

2 citations

𝕏 PostBluesky

PathologybioRxivPreprintApr 3, 2024

qMAP Enabled Microanatomical Mapping of Human Skin Aging

Kyu Sang Han, Inbal B. Sander, Jacqueline Kumer…·Pei-Hsun Wu

This study introduces qMAP, a deep learning-based workflow for microanatomical mapping of human skin, identifying 10 core processes strongly associated with aging and achieving age prediction accuracy comparable to epigenetic clocks.

7 citations

𝕏 PostBluesky