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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:

Single-Cell Transcriptome Profiling of Human Pancreatic Islets in Health and Type 2 Diabetes
Åsa Segerstolpe, Athanasia Palasantza, Pernilla Eliasson, et al.
Cell Metabolism (2016) Vol. 24, Iss. 4, pp. 593-607
Open Access | Times Cited: 1395

Showing 1-25 of 1395 citing articles:

Comprehensive Integration of Single-Cell Data
Tim Stuart, Andrew Butler, Paul Hoffman, et al.
Cell (2019) Vol. 177, Iss. 7, pp. 1888-1902.e21
Open Access | Times Cited: 12849
Fast, sensitive and accurate integration of single-cell data with Harmony
Ilya Korsunsky, Nghia Millard, Jean Fan, et al.
Nature Methods (2019) Vol. 16, Iss. 12, pp. 1289-1296
Open Access | Times Cited: 5989
Determining cell type abundance and expression from bulk tissues with digital cytometry
Aaron M. Newman, Chloé B. Steen, Chih Long Liu, et al.
Nature Biotechnology (2019) Vol. 37, Iss. 7, pp. 773-782
Open Access | Times Cited: 3325
Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighbors
Laleh Haghverdi, Aaron T. L. Lun, Michael D. Morgan, et al.
Nature Biotechnology (2018) Vol. 36, Iss. 5, pp. 421-427
Open Access | Times Cited: 2081
Current best practices in single‐cell RNA‐seq analysis: a tutorial
Malte D. Luecken, Fabian J. Theis
Molecular Systems Biology (2019) Vol. 15, Iss. 6
Open Access | Times Cited: 1724
Cross-Species Single-Cell Analysis of Pancreatic Ductal Adenocarcinoma Reveals Antigen-Presenting Cancer-Associated Fibroblasts
Ela Elyada, Mohan Bolisetty, Pasquale Laise, et al.
Cancer Discovery (2019) Vol. 9, Iss. 8, pp. 1102-1123
Open Access | Times Cited: 1575
Single-cell mRNA quantification and differential analysis with Census
Xiaojie Qiu, Andrew J. Hill, Jonathan S. Packer, et al.
Nature Methods (2017) Vol. 14, Iss. 3, pp. 309-315
Open Access | Times Cited: 1550
Glucagon-like peptide 1 (GLP-1)
Timo D. Müller, Brian Finan, Stephen R. Bloom, et al.
Molecular Metabolism (2019) Vol. 30, pp. 72-130
Open Access | Times Cited: 1312
Mechanisms of Action and Therapeutic Application of Glucagon-like Peptide-1
Daniel J. Drucker
Cell Metabolism (2018) Vol. 27, Iss. 4, pp. 740-756
Open Access | Times Cited: 1249
Single cell RNA sequencing of human liver reveals distinct intrahepatic macrophage populations
Sonya A. MacParland, Jeff C. Liu, Xue-Zhong Ma, et al.
Nature Communications (2018) Vol. 9, Iss. 1
Open Access | Times Cited: 1240
Challenges in unsupervised clustering of single-cell RNA-seq data
Vladimir Yu Kiselev, Tallulah Andrews, Martin Hemberg
Nature Reviews Genetics (2019) Vol. 20, Iss. 5, pp. 273-282
Closed Access | Times Cited: 1008
Single-cell RNA-seq highlights intra-tumoral heterogeneity and malignant progression in pancreatic ductal adenocarcinoma
Junya Peng, Baofa Sun, Chuanyuan Chen, et al.
Cell Research (2019) Vol. 29, Iss. 9, pp. 725-738
Open Access | Times Cited: 957
Construction of a human cell landscape at single-cell level
Xiaoping Han, Ziming Zhou, Lijiang Fei, et al.
Nature (2020) Vol. 581, Iss. 7808, pp. 303-309
Closed Access | Times Cited: 920
A benchmark of batch-effect correction methods for single-cell RNA sequencing data
Hoa Thi Tran, Kok Siong Ang, Marion Chevrier, et al.
Genome biology (2020) Vol. 21, Iss. 1
Open Access | Times Cited: 859
Efficient integration of heterogeneous single-cell transcriptomes using Scanorama
Brian Hie, Bryan D. Bryson, Bonnie Berger
Nature Biotechnology (2019) Vol. 37, Iss. 6, pp. 685-691
Open Access | Times Cited: 759
Bulk tissue cell type deconvolution with multi-subject single-cell expression reference
Xuran Wang, Jihwan Park, Katalin Suszták, et al.
Nature Communications (2019) Vol. 10, Iss. 1
Open Access | Times Cited: 724
Dissecting Immune Circuits by Linking CRISPR-Pooled Screens with Single-Cell RNA-Seq
Diego Adhemar Jaitin, Assaf Weiner, Ido Yofe, et al.
Cell (2016) Vol. 167, Iss. 7, pp. 1883-1896.e15
Open Access | Times Cited: 709
scmap: projection of single-cell RNA-seq data across data sets
Vladimir Yu Kiselev, Andrew Yiu, Martin Hemberg
Nature Methods (2018) Vol. 15, Iss. 5, pp. 359-362
Open Access | Times Cited: 656
Pancreatic β-Cell Electrical Activity and Insulin Secretion: Of Mice and Men
Patrik Rorsman, Frances M. Ashcroft
Physiological Reviews (2017) Vol. 98, Iss. 1, pp. 117-214
Open Access | Times Cited: 638
Single-cell transcriptomes identify human islet cell signatures and reveal cell-type–specific expression changes in type 2 diabetes
Nathan Lawlor, Joshy George, Mohan Bolisetty, et al.
Genome Research (2016) Vol. 27, Iss. 2, pp. 208-222
Open Access | Times Cited: 516
SARS-CoV-2 infects and replicates in cells of the human endocrine and exocrine pancreas
Janis A. Müller, Rüdiger Groß, Carina Conzelmann, et al.
Nature Metabolism (2021) Vol. 3, Iss. 2, pp. 149-165
Open Access | Times Cited: 510
Single-Cell Analysis of Human Pancreas Reveals Transcriptional Signatures of Aging and Somatic Mutation Patterns
Martin Enge, H. Efsun Arda, Marco Mignardi, et al.
Cell (2017) Vol. 171, Iss. 2, pp. 321-330.e14
Open Access | Times Cited: 506
GPCR-Mediated Signaling of Metabolites
Anna Sofie Husted, Mette Trauelsen, Olga Rudenko, et al.
Cell Metabolism (2017) Vol. 25, Iss. 4, pp. 777-796
Open Access | Times Cited: 502
A comparison of automatic cell identification methods for single-cell RNA sequencing data
Tamim Abdelaal, Lieke Michielsen, Davy Cats, et al.
Genome biology (2019) Vol. 20, Iss. 1
Open Access | Times Cited: 491
Charting cellular identity during human in vitro β-cell differentiation
Adrian Veres, Aubrey L. Faust, Henry L. Bushnell, et al.
Nature (2019) Vol. 569, Iss. 7756, pp. 368-373
Open Access | Times Cited: 454
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