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:

Joint probabilistic modeling of single-cell multi-omic data with totalVI
Adam Gayoso, Zoë Steier, Romain Lopez, et al.
Nature Methods (2021) Vol. 18, Iss. 3, pp. 272-282
Open Access | Times Cited: 351

Showing 1-25 of 351 citing articles:

Spatial proteogenomics reveals distinct and evolutionarily conserved hepatic macrophage niches
Martin Guilliams, Johnny Bonnardel, Birthe Haest, et al.
Cell (2022) Vol. 185, Iss. 2, pp. 379-396.e38
Open Access | Times Cited: 578

Best practices for single-cell analysis across modalities
Lukas Heumos, Anna C. Schaar, Christopher Lance, et al.
Nature Reviews Genetics (2023) Vol. 24, Iss. 8, pp. 550-572
Open Access | Times Cited: 436

A Python library for probabilistic analysis of single-cell omics data
Adam Gayoso, Romain Lopez, Galen Xing, et al.
Nature Biotechnology (2022) Vol. 40, Iss. 2, pp. 163-166
Open Access | Times Cited: 388

Mapping single-cell data to reference atlases by transfer learning
Mohammad Lotfollahi, Mohsen Naghipourfar, Malte D. Luecken, et al.
Nature Biotechnology (2021) Vol. 40, Iss. 1, pp. 121-130
Open Access | Times Cited: 361

Comparison of methods and resources for cell-cell communication inference from single-cell RNA-Seq data
Daniel Dimitrov, Dénes Türei, Martín Garrido‐Rodríguez, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 264

WormBase in 2022—data, processes, and tools for analyzing Caenorhabditis elegans
Paul A. Davis, Magdalena Zarowiecki, Valerio Arnaboldi, et al.
Genetics (2022) Vol. 220, Iss. 4
Open Access | Times Cited: 241

Efficient and precise single-cell reference atlas mapping with Symphony
Joyce B. Kang, Aparna Nathan, Kathryn Weinand, et al.
Nature Communications (2021) Vol. 12, Iss. 1
Open Access | Times Cited: 153

Multi-omics integration in the age of million single-cell data
Zhen Miao, Benjamin D. Humphreys, Andrew P. McMahon, et al.
Nature Reviews Nephrology (2021) Vol. 17, Iss. 11, pp. 710-724
Open Access | Times Cited: 140

Characterizing cis-regulatory elements using single-cell epigenomics
Sebastian Preißl, Kyle J. Gaulton, Bing Ren
Nature Reviews Genetics (2022) Vol. 24, Iss. 1, pp. 21-43
Closed Access | Times Cited: 133

DestVI identifies continuums of cell types in spatial transcriptomics data
Romain Lopez, Baoguo Li, Hadas Keren‐Shaul, et al.
Nature Biotechnology (2022) Vol. 40, Iss. 9, pp. 1360-1369
Open Access | Times Cited: 132

Neutrophils and emergency granulopoiesis drive immune suppression and an extreme response endotype during sepsis
Andrew Kwok, Alice Allcock, Ricardo C. Ferreira, et al.
Nature Immunology (2023) Vol. 24, Iss. 5, pp. 767-779
Open Access | Times Cited: 117

Normalizing and denoising protein expression data from droplet-based single cell profiling
Matthew P. Mulè, Andrew J. Martins, John S. Tsang
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 116

MultiVI: deep generative model for the integration of multimodal data
Tal Ashuach, Mariano I. Gabitto, Rohan V. Koodli, et al.
Nature Methods (2023) Vol. 20, Iss. 8, pp. 1222-1231
Open Access | Times Cited: 108

Deep transfer learning of cancer drug responses by integrating bulk and single-cell RNA-seq data
Junyi Chen, Xiaoying Wang, Anjun Ma, et al.
Nature Communications (2022) Vol. 13, Iss. 1
Open Access | Times Cited: 84

Single-cell biological network inference using a heterogeneous graph transformer
Anjun Ma, Xiaoying Wang, Jingxian Li, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 80

Future of Digital Assays to Resolve Clinical Heterogeneity of Single Extracellular Vesicles
Renee‐Tyler T. Morales, Jina Ko
ACS Nano (2022) Vol. 16, Iss. 8, pp. 11619-11645
Open Access | Times Cited: 73

Biologically informed deep learning to query gene programs in single-cell atlases
Mohammad Lotfollahi, Sergei Rybakov, Karin Hrovatin, et al.
Nature Cell Biology (2023)
Open Access | Times Cited: 51

Modeling and analyzing single-cell multimodal data with deep parametric inference
Huan Hu, Zhen Feng, Hai Lin, et al.
Briefings in Bioinformatics (2023) Vol. 24, Iss. 1
Closed Access | Times Cited: 50

Deep learning applications in single-cell genomics and transcriptomics data analysis
Nafiseh Erfanian, A. Ali Heydari, Adib Miraki Feriz, et al.
Biomedicine & Pharmacotherapy (2023) Vol. 165, pp. 115077-115077
Open Access | Times Cited: 47

Mapping cells through time and space with moscot
Dominik Klein, Giovanni Palla, Marius Lange, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 46

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: 45

Deep generative modeling of transcriptional dynamics for RNA velocity analysis in single cells
Adam Gayoso, Philipp Weiler, Mohammad Lotfollahi, et al.
Nature Methods (2023) Vol. 21, Iss. 1, pp. 50-59
Open Access | Times Cited: 45

A Novel Type of Monocytic Leukemia Stem Cell Revealed by the Clinical Use of Venetoclax-Based Therapy
Shanshan Pei, Ian T. Shelton, Austin E. Gillen, et al.
Cancer Discovery (2023) Vol. 13, Iss. 9, pp. 2032-2049
Open Access | Times Cited: 40

Explainable multi-task learning for multi-modality biological data analysis
Xin Tang, Jiawei Zhang, Yichun He, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 36

Mosaic integration and knowledge transfer of single-cell multimodal data with MIDAS
眞智子 平賀, Shuofeng Hu, Yaowen Chen, et al.
Nature Biotechnology (2024) Vol. 42, Iss. 10, pp. 1594-1605
Open Access | Times Cited: 21

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