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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:

Mass cytometry: blessed with the curse of dimensionality
Evan W. Newell, Yang Cheng
Nature Immunology (2016) Vol. 17, Iss. 8, pp. 890-895
Closed Access | Times Cited: 129

Showing 1-25 of 129 citing articles:

A Survey on Deep Learning
Samira Pouyanfar, Saad Sadiq, Yilin Yan, et al.
ACM Computing Surveys (2018) Vol. 51, Iss. 5, pp. 1-36
Closed Access | Times Cited: 1165
Distinct Cellular Mechanisms Underlie Anti-CTLA-4 and Anti-PD-1 Checkpoint Blockade
Spencer C. Wei, Jacob Levine, Alexandria P. Cogdill, et al.
Cell (2017) Vol. 170, Iss. 6, pp. 1120-1133.e17
Open Access | Times Cited: 1127
GM-CSF: From Growth Factor to Central Mediator of Tissue Inflammation
Burkhard Becher, Sònia Tugues, Melanie Greter
Immunity (2016) Vol. 45, Iss. 5, pp. 963-973
Open Access | Times Cited: 479
Understanding Subset Diversity in T Cell Memory
Stephen C. Jameson, David Masopust
Immunity (2018) Vol. 48, Iss. 2, pp. 214-226
Open Access | Times Cited: 460
An immune clock of human pregnancy
Nima Aghaeepour, Edward A. Ganio, David R. McIlwain, et al.
Science Immunology (2017) Vol. 2, Iss. 15
Open Access | Times Cited: 441
Human Innate Lymphoid Cell Subsets Possess Tissue-Type Based Heterogeneity in Phenotype and Frequency
Yannick Simoni, Michael Fehlings, Henrik N. Kløverpris, et al.
Immunity (2016) Vol. 46, Iss. 1, pp. 148-161
Open Access | Times Cited: 386
Comparison of clustering methods for high‐dimensional single‐cell flow and mass cytometry data
Lukas M. Weber, Mark D. Robinson
Cytometry Part A (2016) Vol. 89, Iss. 12, pp. 1084-1096
Open Access | Times Cited: 359
Clustergrammer, a web-based heatmap visualization and analysis tool for high-dimensional biological data
Nicolas Fernandez, Gregory W. Gundersen, Adeeb Rahman, et al.
Scientific Data (2017) Vol. 4, Iss. 1
Open Access | Times Cited: 230
Metal-isotope-tagged monoclonal antibodies for high-dimensional mass cytometry
Guojun Han, Matthew H. Spitzer, Sean C. Bendall, et al.
Nature Protocols (2018) Vol. 13, Iss. 10, pp. 2121-2148
Open Access | Times Cited: 210
Defining the carrier proteome limit for single-cell proteomics
Tommy K. Cheung, Chien‐Yun Lee, Florian Bayer, et al.
Nature Methods (2020) Vol. 18, Iss. 1, pp. 76-83
Closed Access | Times Cited: 202
Immune monitoring using mass cytometry and related high-dimensional imaging approaches
Felix J. Hartmann, Sean C. Bendall
Nature Reviews Rheumatology (2019) Vol. 16, Iss. 2, pp. 87-99
Open Access | Times Cited: 159
A Beginner’s Guide to Analyzing and Visualizing Mass Cytometry Data
Abigail K. Kimball, Lauren Oko, Bonnie Bullock, et al.
The Journal of Immunology (2017) Vol. 200, Iss. 1, pp. 3-22
Open Access | Times Cited: 154
Recent advances in the use of microfluidic technologies for single cell analysis
Travis W. Murphy, Qiang Zhang, Lynette B. Naler, et al.
The Analyst (2017) Vol. 143, Iss. 1, pp. 60-80
Open Access | Times Cited: 139
A 40-Marker Panel for High Dimensional Characterization of Cancer Immune Microenvironments by Imaging Mass Cytometry
Marieke E. Ijsselsteijn, Ruud van der Breggen, Arantza Fariña Sarasqueta, et al.
Frontiers in Immunology (2019) Vol. 10
Open Access | Times Cited: 135
Comprehensive Immune Monitoring of Clinical Trials to Advance Human Immunotherapy
Felix J. Hartmann, Joël Babdor, Pier Federico Gherardini, et al.
Cell Reports (2019) Vol. 28, Iss. 3, pp. 819-831.e4
Open Access | Times Cited: 106
OMIP‐044: 28‐color immunophenotyping of the human dendritic cell compartment
Florian Mair, Martin Prlic
Cytometry Part A (2018) Vol. 93, Iss. 4, pp. 402-405
Open Access | Times Cited: 88
Differential Dynamics of the Maternal Immune System in Healthy Pregnancy and Preeclampsia
Xiaoyuan Han, Mohammad Sajjad Ghaemi, Kazuo Ando, et al.
Frontiers in Immunology (2019) Vol. 10
Open Access | Times Cited: 84
Predicting Cell Populations in Single Cell Mass Cytometry Data
Tamim Abdelaal, Vincent van Unen, Thomas Höllt, et al.
Cytometry Part A (2019) Vol. 95, Iss. 7, pp. 769-781
Open Access | Times Cited: 77
Integration of mechanistic immunological knowledge into a machine learning pipeline improves predictions
Anthony Culos, Amy S. Tsai, Natalie Stanley, et al.
Nature Machine Intelligence (2020) Vol. 2, Iss. 10, pp. 619-628
Open Access | Times Cited: 71
How Do Uterine Natural Killer and Innate Lymphoid Cells Contribute to Successful Pregnancy?
Oisín Huhn, Xiaohui Zhao, Laura Esposito, et al.
Frontiers in Immunology (2021) Vol. 12
Open Access | Times Cited: 69
Deep immune phenotyping reveals similarities between aging, Down syndrome, and autoimmunity
Katharina Lambert, Keagan G. Moo, Azlann Arnett, et al.
Science Translational Medicine (2022) Vol. 14, Iss. 627
Open Access | Times Cited: 41
Mass cytometry: a powerful tool for dissecting the immune landscape
Yannick Simoni, Melissa Hui Yen Chng, Shamin Li, et al.
Current Opinion in Immunology (2018) Vol. 51, pp. 187-196
Closed Access | Times Cited: 79
Meeting the Challenges of High-Dimensional Single-Cell Data Analysis in Immunology
Subarna Palit, Christoph Heuser, Gustavo Pereira de Almeida, et al.
Frontiers in Immunology (2019) Vol. 10
Open Access | Times Cited: 70
Automated cell type discovery and classification through knowledge transfer
Hao-Chih Lee, Roman Kosoy, Christine Becker, et al.
Bioinformatics (2017) Vol. 33, Iss. 11, pp. 1689-1695
Open Access | Times Cited: 68
OMIP‐44: 28‐color Immunophenotyping of the Human Dendritic Cell Compartment
Florian Mair, Martin Prlic
Cytometry Part A (2019) Vol. 95, Iss. 8, pp. 925-926
Open Access | Times Cited: 64
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