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:

SpatialDM for rapid identification of spatially co-expressed ligand–receptor and revealing cell–cell communication patterns
Zhuoxuan Li, Tianjie Wang, Pentao Liu, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 46

Showing 1-25 of 46 citing articles:

Screening cell–cell communication in spatial transcriptomics via collective optimal transport
Zixuan Cang, Yanxiang Zhao, Axel A. Almet, et al.
Nature Methods (2023) Vol. 20, Iss. 2, pp. 218-228
Open Access | Times Cited: 200

A Review of Single-Cell RNA-Seq Annotation, Integration, and Cell–Cell Communication
Changde Cheng, Wenan Chen, Hongjian Jin, et al.
Cells (2023) Vol. 12, Iss. 15, pp. 1970-1970
Open Access | Times Cited: 65

The diversification of methods for studying cell–cell interactions and communication
Erick Armingol, Hratch Baghdassarian, Nathan E. Lewis
Nature Reviews Genetics (2024) Vol. 25, Iss. 6, pp. 381-400
Closed Access | Times Cited: 52

LIANA+ provides an all-in-one framework for cell–cell communication inference
Daniel Dimitrov, Philipp Schäfer, Elias Farr, et al.
Nature Cell Biology (2024) Vol. 26, Iss. 9, pp. 1613-1622
Open Access | Times Cited: 25

Spatial multi-omics: novel tools to study the complexity of cardiovascular diseases
Paul Kießling, Christoph Kuppe
Genome Medicine (2024) Vol. 16, Iss. 1
Open Access | Times Cited: 24

Identifying potential ligand–receptor interactions based on gradient boosted neural network and interpretable boosting machine for intercellular communication analysis
Lihong Peng, Pengfei Gao, Wei Xiong, et al.
Computers in Biology and Medicine (2024) Vol. 171, pp. 108110-108110
Closed Access | Times Cited: 12

Spatial oncology: Translating contextual biology to the clinic
Dennis Gong, Jeanna M Arbesfeld-Qiu, Ella Perrault, et al.
Cancer Cell (2024)
Closed Access | Times Cited: 6

ESICCC as a systematic computational framework for evaluation, selection, and integration of cell-cell communication inference methods
Jiaxin Luo, Minghua Deng, Xuegong Zhang, et al.
Genome Research (2023) Vol. 33, Iss. 10, pp. 1788-1805
Open Access | Times Cited: 16

Spatially resolved multiomics on the neuronal effects induced by spaceflight in mice
Yuvarani Masarapu, Egle Cekanaviciute, Žaneta Andrusivová, et al.
Nature Communications (2024) Vol. 15, Iss. 1
Open Access | Times Cited: 5

Mapping cellular interactions from spatially resolved transcriptomics data
James Zhu, Y. Wang, Woo Yong Chang, et al.
Nature Methods (2024) Vol. 21, Iss. 10, pp. 1830-1842
Closed Access | Times Cited: 5

Spatial transcriptomics reveals tumor-derived SPP1 induces fibroblast chemotaxis and activation in the hepatocellular carcinoma microenvironment
Wen Tong, Tianze Wang, Yi Bai, et al.
Journal of Translational Medicine (2024) Vol. 22, Iss. 1
Open Access | Times Cited: 4

sCCIgen: A high-fidelity spatially resolved transcriptomics data simulator for cell-cell interaction studies.
Xiaoyu Song, Joselyn Cristina Chávez-Fuentes, Weiping Ma, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Closed Access

Predicting cell–cell communication by combining heterogeneous ensemble deep learning and weighted geometric mean
Lihong Peng, L. C. Liu, Liangliang Huang, et al.
Applied Soft Computing (2025), pp. 112839-112839
Closed Access

Single-cell multiome and spatial profiling reveals pancreas cell type-specific gene regulatory programs driving type 1 diabetes progression
Rebecca L. Melton, Sara Jiménez, Weston S. Elison, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Open Access

Quantifying and interpreting biologically meaningful spatial signatures within tumor microenvironments
Siyu Jing, He-qi Wang, Ping Lin, et al.
npj Precision Oncology (2025) Vol. 9, Iss. 1
Open Access

Tensor-Based Approaches for Omics Data Analysis: Applications, Challenges, and Future Directions
Amirhamzeh Khoshnam, Daniel Chafamo, Neriman Tokcan
La Matematica (2025)
Closed Access

A Reciprocal Statistic for Detecting the Full Range of Local Patterns of Bivariate Spatial Association
Ran Tao, Jean‐Claude Thill
Annals of the American Association of Geographers (2025), pp. 1-22
Closed Access

SpaGRN: Investigating spatially informed regulatory paths for spatially resolved transcriptomics data
Yao Li, Xiaobin Liu, Lidong Guo, et al.
Cell Systems (2025), pp. 101243-101243
Closed Access

InSituCor: exploring spatially correlated genes conditional on the cell type landscape
Patrick Danaher, Dan McGuire, Lidan Wu, et al.
Genome biology (2025) Vol. 26, Iss. 1
Open Access

Signals that control MAIT cell function in healthy and inflamed human tissues
A Konecny, Yin Huang, Manu Setty, et al.
Immunological Reviews (2024) Vol. 323, Iss. 1, pp. 138-149
Open Access | Times Cited: 3

Spatial Multi-Omics in Alzheimer’s Disease: A Multi-Dimensional Approach to Understanding Pathology and Progression
Yixiao Ma, Wenting Shi, Yahong Dong, et al.
Current Issues in Molecular Biology (2024) Vol. 46, Iss. 5, pp. 4968-4990
Open Access | Times Cited: 3

SEraster: a rasterization preprocessing framework for scalable spatial omics data analysis
Gohta Aihara, Kalen Clifton, Mayling Chen, et al.
Bioinformatics (2024) Vol. 40, Iss. 7
Open Access | Times Cited: 3

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