Open Access Helper

OpenAlex Citation Counts

OpenAlex Citations Logo

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:

MorphoFeatures for unsupervised exploration of cell types, tissues, and organs in volume electron microscopy
Valentyna Zinchenko, Johannes Hugger, Virginie Uhlmann, et al.
eLife (2023) Vol. 12
Open Access | Times Cited: 15

Showing 15 citing articles:

Integrating cellular electron microscopy with multimodal data to explore biology across space and time
Caitlyn L McCafferty, Sven Klumpe, Rommie E. Amaro, et al.
Cell (2024) Vol. 187, Iss. 3, pp. 563-584
Open Access | Times Cited: 43
Perisomatic ultrastructure efficiently classifies cells in mouse cortex
Leila Elabbady, Sharmishtaa Seshamani, Shang Mu, et al.
Nature (2025) Vol. 640, Iss. 8058, pp. 478-486
Open Access | Times Cited: 7
NEURD offers automated proofreading and feature extraction for connectomics
Brendan Celii, Stelios Papadopoulos, Zhuokun Ding, et al.
Nature (2025) Vol. 640, Iss. 8058, pp. 487-496
Open Access | Times Cited: 4
Virtual Fly Brain—An interactive atlas of the Drosophila nervous system
Robert Court, Marta Costa, Clare Pilgrim, et al.
Frontiers in Physiology (2023) Vol. 14
Open Access | Times Cited: 40
Spatial Transcriptomics-correlated Electron Microscopy maps transcriptional and ultrastructural responses to brain injury
Peter Androvic, Martina Schifferer, Katrin Perez Anderson, et al.
Nature Communications (2023) Vol. 14, Iss. 1
Open Access | Times Cited: 30
Geometric deep learning and multiple-instance learning for 3D cell-shape profiling
Matt De Vries, Lucas Dent, Nathan Curry, et al.
Cell Systems (2025) Vol. 16, Iss. 3, pp. 101229-101229
Open Access | Times Cited: 1
Multi-layered maps of neuropil with segmentation-guided contrastive learning
Sven Dorkenwald, Peter H. Li, Michał Januszewski, et al.
Nature Methods (2023) Vol. 20, Iss. 12, pp. 2011-2020
Open Access | Times Cited: 19
NEURD offers automated proofreading and feature extraction for connectomics
Brendan Celii, Stelios Papadopoulos, Zhuokun Ding, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 12
Perisomatic Features Enable Efficient and Dataset Wide Cell-Type Classifications Across Large-Scale Electron Microscopy Volumes
Leila Elabbady, Sharmishtaa Seshamani, Shang Mu, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 19
Artificial Intelligence-based Morphological Profiling for Drug Discovery: Advancing Towards 4D Phenotypic Profiling
Margreet R. de Vries, Lucas Dent, Hugh Sparks, et al.
Royal Society of Chemistry eBooks (2025), pp. 209-234
Closed Access
Giant mitochondria in human liver disease
Gerald J. Shami, Iryna Samarska, Ger H. Koek, et al.
Liver International (2023) Vol. 43, Iss. 11, pp. 2365-2378
Open Access | Times Cited: 9
Novel imaging and biophysical approaches to study tissue hydraulics in mammalian folliculogenesis
Jake Turley, Kim Whye Leong, Chii Jou Chan
Biophysical Reviews (2024) Vol. 16, Iss. 5, pp. 625-637
Open Access | Times Cited: 1
A Self-Supervised Learning Approach for High Throughput and High Content Cell Segmentation
Van Lam, Jeff M. Byers, Michael Robitaille, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access
A Self-Supervised Learning Approach for High Throughput and High Content Cell Segmentation
Marc P. Raphael, Van Lam, Jeff D. Byers, et al.
Research Square (Research Square) (2024)
Open Access
Finding the right type of cell
Louis K. Scheffer
eLife (2023) Vol. 12
Open Access
Page 1

Scroll to top