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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 Particle Tracking: From Theory to Biophysical Applications
Hao Shen, Lawrence J. Tauzin, Rashad Baiyasi, et al.
Chemical Reviews (2017) Vol. 117, Iss. 11, pp. 7331-7376
Closed Access | Times Cited: 459

Showing 1-25 of 459 citing articles:

Nanodelivery of nucleic acids
Bárbara B. Mendes, João Conniot, Aviram Avital, et al.
Nature Reviews Methods Primers (2022) Vol. 2, Iss. 1
Open Access | Times Cited: 394
Robust model-based analysis of single-particle tracking experiments with Spot-On
Anders S. Hansen, Maxime Woringer, Jonathan B. Grimm, et al.
eLife (2018) Vol. 7
Open Access | Times Cited: 294
Optical tweezers — from calibration to applications: a tutorial
Jan Gieseler, Juan Ruben Gomez-Solano, Alessandro Magazzù, et al.
Advances in Optics and Photonics (2020) Vol. 13, Iss. 1, pp. 74-74
Open Access | Times Cited: 200
Visualizing transcription factor dynamics in living cells
Zhe Liu, Robert Tjian
The Journal of Cell Biology (2018) Vol. 217, Iss. 4, pp. 1181-1191
Open Access | Times Cited: 182
Single-Virus Tracking: From Imaging Methodologies to Virological Applications
Shu‐Lin Liu, Zhi‐Gang Wang, Hai‐Yan Xie, et al.
Chemical Reviews (2020) Vol. 120, Iss. 3, pp. 1936-1979
Open Access | Times Cited: 181
Lanthanide‐Doped Near‐Infrared Nanoparticles for Biophotonics
Hui Li, Xin Wang, Tymish Y. Ohulchanskyy, et al.
Advanced Materials (2020) Vol. 33, Iss. 6
Closed Access | Times Cited: 178
Single-Particle Diffusion Characterization by Deep Learning
Naor Granik, Lucien E. Weiss, Elias Nehme, et al.
Biophysical Journal (2019) Vol. 117, Iss. 2, pp. 185-192
Open Access | Times Cited: 164
Recent advances in luminescent materials for super-resolution imaging via stimulated emission depletion nanoscopy
Yanzi Xu, Ruohan Xu, Zhihua Wang, et al.
Chemical Society Reviews (2020) Vol. 50, Iss. 1, pp. 667-690
Closed Access | Times Cited: 141
Effects of morphology and size of nanoscale drug carriers on cellular uptake and internalization process: a review
Wenjie Zhang, Reza Taheri‐Ledari, Fatemeh Ganjali, et al.
RSC Advances (2022) Vol. 13, Iss. 1, pp. 80-114
Open Access | Times Cited: 87
Liquid–liquid phase separation as an organizing principle of intracellular space: overview of the evolution of the cell compartmentalization concept
Iuliia A. Antifeeva, Alexander V. Fonin, Anna S. Fefilova, et al.
Cellular and Molecular Life Sciences (2022) Vol. 79, Iss. 5
Closed Access | Times Cited: 82
Brightness of fluorescent organic nanomaterials
Anila Hoskere Ashoka, Ilya O. Aparin, Andreas Reisch, et al.
Chemical Society Reviews (2023) Vol. 52, Iss. 14, pp. 4525-4548
Open Access | Times Cited: 82
Molecular Rotors: Fluorescent Sensors for Microviscosity and Conformation of Biomolecules
Miguel Páez-Pérez, Marina K. Kuimova
Angewandte Chemie International Edition (2023) Vol. 63, Iss. 6
Open Access | Times Cited: 47
Real-time single-molecule imaging of transcriptional regulatory networks in living cells
Dong-Woo Hwang, Anna Maekiniemi, Robert H. Singer, et al.
Nature Reviews Genetics (2024) Vol. 25, Iss. 4, pp. 272-285
Closed Access | Times Cited: 18
Lipid Rafts in Signalling, Diseases, and Infections: What Can Be Learned from Fluorescence Techniques?
Sara Anselmo, Elisa Bonaccorso, Chiara M. A. Gangemi, et al.
Membranes (2025) Vol. 15, Iss. 1, pp. 6-6
Open Access | Times Cited: 4
The Role of Fractional Time-Derivative Operators on Anomalous Diffusion
A. A. Tateishi, Haroldo V. Ribeiro, E. K. Lenzi
Frontiers in Physics (2017) Vol. 5
Open Access | Times Cited: 158
Interferometric Scattering Microscopy
Gavin Young, Philipp Kukura
Annual Review of Physical Chemistry (2019) Vol. 70, Iss. 1, pp. 301-322
Closed Access | Times Cited: 135
Classification of diffusion modes in single-particle tracking data: Feature-based versus deep-learning approach
Patrycja Kowalek, Hanna Loch-Olszewska, Janusz Szwabiński
Physical review. E (2019) Vol. 100, Iss. 3
Open Access | Times Cited: 119
A bird’s-eye view of deep learning in bioimage analysis
Erik Meijering
Computational and Structural Biotechnology Journal (2020) Vol. 18, pp. 2312-2325
Open Access | Times Cited: 118
Exploring the protein–protein interaction landscape in plants
Sylwia Struk, Anse Jacobs, Elena Sánchez Martín‐Fontecha, et al.
Plant Cell & Environment (2018) Vol. 42, Iss. 2, pp. 387-409
Open Access | Times Cited: 117
Visualisation of dCas9 target search in vivo using an open-microscopy framework
Koen J.A. Martens, Sam P. B. van Beljouw, Simon van der, et al.
Nature Communications (2019) Vol. 10, Iss. 1
Open Access | Times Cited: 107
Methods for characterizing the material properties of biomolecular condensates
Ibraheem Alshareedah, Taranpreet Kaur, Priya R. Banerjee
Methods in enzymology on CD-ROM/Methods in enzymology (2020), pp. 143-183
Open Access | Times Cited: 76
Quantum Dots: A Promising Fluorescent Label for Probing Virus Trafficking
Zhi‐Gang Wang, Shu‐Lin Liu, Dai‐Wen Pang
Accounts of Chemical Research (2021) Vol. 54, Iss. 14, pp. 2991-3002
Closed Access | Times Cited: 70
Recovering mixtures of fast-diffusing states from short single-particle trajectories
Alec Heckert, Liza Dahal, Robert Tjian, et al.
eLife (2022) Vol. 11
Open Access | Times Cited: 67
Mesoscale Modeling and Single-Nucleosome Tracking Reveal Remodeling of Clutch Folding and Dynamics in Stem Cell Differentiation
Pablo Aurelio Gómez-García, Stephanie Portillo‐Ledesma, Maria Victoria Neguembor, et al.
Cell Reports (2021) Vol. 34, Iss. 2, pp. 108614-108614
Open Access | Times Cited: 64
Single-particle diffusional fingerprinting: A machine-learning framework for quantitative analysis of heterogeneous diffusion
Henrik Dahl Pinholt, Søren S.-R. Bohr, Josephine F. Iversen, et al.
Proceedings of the National Academy of Sciences (2021) Vol. 118, Iss. 31
Open Access | Times Cited: 62
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