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:
Vesalius: high‐resolution in silico anatomization of spatial transcriptomic data using image analysis
Patrick Martin, Hyobin Kim, Cecilia Lövkvist, et al.
Molecular Systems Biology (2022) Vol. 18, Iss. 9
Open Access | Times Cited: 18
Patrick Martin, Hyobin Kim, Cecilia Lövkvist, et al.
Molecular Systems Biology (2022) Vol. 18, Iss. 9
Open Access | Times Cited: 18
Showing 18 citing articles:
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: 50
Candace C. Liu, Noah F. Greenwald, Alex Kong, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 50
Innovative super-resolution in spatial transcriptomics: a transformer model exploiting histology images and spatial gene expression
Chongyue Zhao, Zhongli Xu, Xinjun Wang, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 11
Chongyue Zhao, Zhongli Xu, Xinjun Wang, et al.
Briefings in Bioinformatics (2024) Vol. 25, Iss. 2
Open Access | Times Cited: 11
Single-cell omics: experimental workflow, data analyses and applications
Fengying Sun, Haoyan Li, Dongqing Sun, et al.
Science China Life Sciences (2024)
Closed Access | Times Cited: 10
Fengying Sun, Haoyan Li, Dongqing Sun, et al.
Science China Life Sciences (2024)
Closed Access | Times Cited: 10
Spatial transcriptomics data and analytical methods: An updated perspective
Mohd Danishuddin, Shawez Khan, Jong-Joo Kim
Drug Discovery Today (2024) Vol. 29, Iss. 3, pp. 103889-103889
Closed Access | Times Cited: 8
Mohd Danishuddin, Shawez Khan, Jong-Joo Kim
Drug Discovery Today (2024) Vol. 29, Iss. 3, pp. 103889-103889
Closed Access | Times Cited: 8
Spatially Resolved Single-Cell Omics: Methods, Challenges, and Future Perspectives
Felipe Segato Dezem, Wani Arjumand, Hannah DuBose, et al.
Annual Review of Biomedical Data Science (2024) Vol. 7, Iss. 1, pp. 131-153
Closed Access | Times Cited: 6
Felipe Segato Dezem, Wani Arjumand, Hannah DuBose, et al.
Annual Review of Biomedical Data Science (2024) Vol. 7, Iss. 1, pp. 131-153
Closed Access | Times Cited: 6
Histopathologic Evaluation and Single-Cell Spatial Transcriptomics of the Colon Reveal Cellular and Molecular Abnormalities Linked to J-Pouch Failure in Patients with Inflammatory Bowel Disease.
Andrea D. Olivas, Patricia Ngai, Emily Schahrer, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Andrea D. Olivas, Patricia Ngai, Emily Schahrer, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access
Histopathologic Evaluation and Single-Cell Spatial Transcriptomics of the Colon Reveal Cellular and Molecular Abnormalities Linked to J-Pouch Failure in Patients with Inflammatory Bowel Disease
Andrea D. Olivas, Patricia Ngai, Emily Schahrer, et al.
(2025)
Open Access
Andrea D. Olivas, Patricia Ngai, Emily Schahrer, et al.
(2025)
Open Access
Spatially aware self-representation learning for tissue structure characterization and spatial functional genes identification
Chuanchao Zhang, Xinxing Li, Wendong Huang, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 4
Open Access | Times Cited: 9
Chuanchao Zhang, Xinxing Li, Wendong Huang, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 4
Open Access | Times Cited: 9
Discovery and generalization of tissue structures from spatial omics data
Zhenqin Wu, Ayano Kondo, Monee McGrady, et al.
Cell Reports Methods (2024) Vol. 4, Iss. 8, pp. 100838-100838
Open Access | Times Cited: 3
Zhenqin Wu, Ayano Kondo, Monee McGrady, et al.
Cell Reports Methods (2024) Vol. 4, Iss. 8, pp. 100838-100838
Open Access | Times Cited: 3
SC2Spa: a deep learning based approach to map transcriptome to spatial origins at cellular resolution
Linbu Liao, Esha Madan, Antonio Palma, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Linbu Liao, Esha Madan, Antonio Palma, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 2
Technical Advances and Applications of Spatial Transcriptomics
Guohao Liang, Hong Yin, Fangyuan Ding
GEN Biotechnology (2023) Vol. 2, Iss. 5, pp. 384-398
Closed Access | Times Cited: 2
Guohao Liang, Hong Yin, Fangyuan Ding
GEN Biotechnology (2023) Vol. 2, Iss. 5, pp. 384-398
Closed Access | Times Cited: 2
Applications of spatial transcriptomics and artificial intelligence to develop integrated management of pancreatic cancer
Rishabh Maurya, Isha Chug, Vignesh Vudatha, et al.
Advances in cancer research (2024), pp. 107-136
Closed Access
Rishabh Maurya, Isha Chug, Vignesh Vudatha, et al.
Advances in cancer research (2024), pp. 107-136
Closed Access
Data enhancement in the age of spatial biology
Linbu Liao, Patrick Martin, Hyobin Kim, et al.
Advances in cancer research (2024), pp. 39-70
Closed Access
Linbu Liao, Patrick Martin, Hyobin Kim, et al.
Advances in cancer research (2024), pp. 39-70
Closed Access
Current computational methods for spatial transcriptomics in cancer biology
Jaewoo Mo, J. Bae, Jahanzeb Saqib, et al.
Advances in cancer research (2024), pp. 71-106
Closed Access
Jaewoo Mo, J. Bae, Jahanzeb Saqib, et al.
Advances in cancer research (2024), pp. 71-106
Closed Access
Mult-scale and multi-context mapping of cell states across heterogenous spatial samples.
Patrick Martin, W. Wang, Hyobin Kim, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Patrick Martin, W. Wang, Hyobin Kim, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
Spatially aware self-representation learning for tissue structure characterization and spatial functional genes identification
Chuanchao Zhang, Xinxing Li, Wendong Huang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
Chuanchao Zhang, Xinxing Li, Wendong Huang, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 1
Machine Learning for Uncovering Biological Insights in Spatial Transcriptomics Data.
Alex J Lee, Robert Cahill, Reza Abbasi-Asl
PubMed (2023)
Closed Access | Times Cited: 1
Alex J Lee, Robert Cahill, Reza Abbasi-Asl
PubMed (2023)
Closed Access | Times Cited: 1
