Author

Max Blecher

Johns Hopkins University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

Click to filter author papers

Bioinformatics· 1 Evolutionary Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:development & morphogenesis· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Organism:human· 1 Assay:imaging· 1 Assay:metabolomics· 1

Frequent Co-Authors

André ForjaziD· 2 shared Ashley L. KiemeniD· 2 shared Paul A. GensbigleriD· 2 shared Alfredo Hernandez· 1 shared Ashleigh J. CrawfordiD· 1 shared Biyi LiiD· 1 shared Brittany Pratt· 1 shared Chulan KwoniD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 35 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

2 shared papersEvolutionary Biology

André ForjazORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Muscle Loss as a Foundational Step in the Development and Evolution of the Turtle Shell

William Foster, Paul A. Gensbigler, Max Blecher, André Forjaz, Biyi Li, Valentina Matos-Romero, Chulan Kwon, Ashley L. Kiemen, Tyler R. Lyson, Gabriel S. Bever

The paper investigates muscle loss as a key evolutionary step in turtle shell development using multi-modal imaging and histology-based deep learning to analyze turtle embryos.

bioRxiv · Jun 24, 2026 · PreprintEvolutionary Biology

3D multi-omic mapping of whole nondiseased human fallopian tubes at cellular resolution reveals a large incidence of ovarian cancer precursors

André Forjaz, Vasco Queiroga, Yajuan Li, Alfredo Hernandez, Ashleigh J. Crawford, Xiaoyu Qin, Mei Zhong, Margarita Tsapatsis, Saurabh Joshi, Donald Kramer, Oliver Nizet, Habin Bea, Yuhan Li, Shuo Qin, Robert O’Flynn, , Denis Wirtz

The paper presents a 3D multi-omic framework to detect and characterize ovarian cancer precursors in fallopian tubes, identifying TP53 mutations in microscopic lesions.

bioRxiv · Sep 21, 2025 · PreprintBioinformatics