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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Automated assignment of cell identity from single-cell multiplexed imaging and proteomic data
Michael J. Geuenich, Jinyu Hou, Lee Sunyun, et al.
Cell Systems (2021) Vol. 12, Iss. 12, pp. 1173-1186.e5
Open Access | Times Cited: 59

Showing 1-25 of 59 citing articles:

Spatial components of molecular tissue biology
Giovanni Palla, David S. Fischer, Aviv Regev, et al.
Nature Biotechnology (2022) Vol. 40, Iss. 3, pp. 308-318
Closed Access | Times Cited: 237
Spatial omics technologies at multimodal and single cell/subcellular level
Jiwoon Park, Junbum Kim, Tyler Lewy, et al.
Genome biology (2022) Vol. 23, Iss. 1
Open Access | Times Cited: 76
Robust phenotyping of highly multiplexed tissue imaging data using pixel-level clustering
Candace C. Liu, Noah F. Greenwald, Alex Kong, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 51
MAPS: pathologist-level cell type annotation from tissue images through machine learning
Muhammad Shaban, Yunhao Bai, Huaying Qiu, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 19
Integration of spatial and single-cell data across modalities with weakly linked features
Shuxiao Chen, Bokai Zhu, Sijia Huang, et al.
Nature Biotechnology (2023) Vol. 42, Iss. 7, pp. 1096-1106
Open Access | Times Cited: 41
Different approaches to Imaging Mass Cytometry data analysis
Vladan Milošević
Bioinformatics Advances (2023) Vol. 3, Iss. 1
Open Access | Times Cited: 28
Spatial insights into immunotherapy response in non-small cell lung cancer (NSCLC) by multiplexed tissue imaging
James Monkman, Afshin Moradi, Joseph Yunis, et al.
Journal of Translational Medicine (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 12
Points to Consider From the ESTP Pathology 2.0 Working Group: Overview on Spatial Omics Technologies Supporting Drug Discovery and Development
Kerstin Hahn, Bettina Amberg, Josep M. Monné Rodríguez, et al.
Toxicologic Pathology (2025)
Closed Access | Times Cited: 1
The impacts of active and self-supervised learning on efficient annotation of single-cell expression data
Michael J. Geuenich, D. H. Gong, Kieran R. Campbell
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 7
Semi-automated approaches for interrogating spatial heterogeneity of tissue samples
Vytautas Navikas, Joanna Kowal, Daniel Rodríguez, et al.
Scientific Reports (2024) Vol. 14, Iss. 1
Open Access | Times Cited: 6
Highly multiplexed spatial profiling with CODEX: bioinformatic analysis and application in human disease
Wilson Kuswanto, Garry P. Nolan, Guolan Lu
Seminars in Immunopathology (2022) Vol. 45, Iss. 1, pp. 145-157
Open Access | Times Cited: 24
A review on deep learning applications in highly multiplexed tissue imaging data analysis
Mohammed Zidane, Ahmad Makky, Matthias Bruhns, et al.
Frontiers in Bioinformatics (2023) Vol. 3
Open Access | Times Cited: 14
Tribus: Semi-automated discovery of cell identities and phenotypes from multiplexed imaging and proteomic data
Ziqi Kang, Angela E. Szabó, Teodora Farago, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 4
AnnoSpat annotates cell types and quantifies cellular arrangements from spatial proteomics
Aanchal Mongia, Fatema Tuz Zohora, Noah G. Burget, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 4
Automated classification of cellular expression in multiplexed imaging data with Nimbus
Josef Lorenz Rumberger, Noah F. Greenwald, Jolene S. Ranek, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 4
Segmentation aware probabilistic phenotyping of single-cell spatial protein expression data
Yu‐Ju Lee, Edward L.Y. Chen, Darren C. H. Chan, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Estimation and model selection for finite mixtures of Tukey’s g- &-h distributions
Tingting Zhan, Misung Yi, Amy R. Peck, et al.
Statistics and Computing (2025) Vol. 35, Iss. 3
Open Access
Integrated workflow for analysis of immune enriched spatial proteomic data with IMmuneCite
Arianna Barbetta, Sarah Bangerth, Jason T. C. Lee, et al.
Scientific Reports (2025) Vol. 15, Iss. 1
Open Access
Analyzing Spatial Point Patterns in Digital Pathology: Immune Cells in High-Grade Serous Ovarian Carcinomas
Jonatan A. González, Julia Wrobel, Simon Vandekar, et al.
The American Statistician (2025), pp. 1-26
Closed Access
Deconvolution of cell types and states in spatial multiomics utilizing TACIT
Khoa Le Anh Huynh, Katarzyna M. Tyc, Bruno Fernandes Matuck, et al.
Nature Communications (2025) Vol. 16, Iss. 1
Open Access
Deep cell phenotyping and spatial analysis of multiplexed imaging with TRACERx-PHLEX
Alastair Magness, Emma Colliver, Katey S.S. Enfield, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 3
Robust phenotyping of highly multiplexed tissue imaging data using pixel-level clustering
Candace C. Liu, Noah F. Greenwald, Alex Kong, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 12
Mapping the single cell spatial immune landscapes of the melanoma microenvironment
Jamie Magrill, Dan Moldoveanu, J. Gu, et al.
Clinical & Experimental Metastasis (2024) Vol. 41, Iss. 4, pp. 301-312
Open Access | Times Cited: 2
Generalized cell phenotyping for spatial proteomics with language-informed vision models
Xuefei Wang, Rohit Dilip, Yuval Bussi, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 2
Disease trajectories in hospitalized COVID-19 patients are predicted by clinical and peripheral blood signatures representing distinct lung pathologies
João Luiz Silva‐Filho, Vanessa Herder, Matthew P. Gibbins, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 6
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