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:
Uncovering the genetic blueprint of theC. elegansnervous system
I. Kovács, Dániel L. Barabási, Albert‐László Barabási
Proceedings of the National Academy of Sciences (2020) Vol. 117, Iss. 52, pp. 33570-33577
Open Access | Times Cited: 34
I. Kovács, Dániel L. Barabási, Albert‐László Barabási
Proceedings of the National Academy of Sciences (2020) Vol. 117, Iss. 52, pp. 33570-33577
Open Access | Times Cited: 34
Showing 26-50 of 34 citing articles:
A Transcriptome Community-and-Module Approach of the Human Mesoconnectome
Omar Paredes, Jhonatan B. López, César Covantes-Osuna, et al.
Entropy (2021) Vol. 23, Iss. 8, pp. 1031-1031
Open Access | Times Cited: 5
Omar Paredes, Jhonatan B. López, César Covantes-Osuna, et al.
Entropy (2021) Vol. 23, Iss. 8, pp. 1031-1031
Open Access | Times Cited: 5
Complex Computation from Developmental Priors
Dániel L. Barabási, Taliesin Beynon, Ádám Katona
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 4
Dániel L. Barabási, Taliesin Beynon, Ádám Katona
bioRxiv (Cold Spring Harbor Laboratory) (2021)
Open Access | Times Cited: 4
Deciphering the Genetic Code of Neuronal Type Connectivity: A Bilinear Modeling Approach
Mu Qiao
(2024)
Open Access
Mu Qiao
(2024)
Open Access
An Optimized Comparative Proteomic Approach as a Tool in Neurodegenerative Disease Research
Rachel Kline, Lena Lößlein, Dominic Kurian, et al.
Cells (2022) Vol. 11, Iss. 17, pp. 2653-2653
Open Access | Times Cited: 2
Rachel Kline, Lena Lößlein, Dominic Kurian, et al.
Cells (2022) Vol. 11, Iss. 17, pp. 2653-2653
Open Access | Times Cited: 2
Feature learning and network structure from noisy node activity data
Junyao Kuang, Caterina Scoglio, Kristin Michel
Physical review. E (2022) Vol. 106, Iss. 6
Open Access | Times Cited: 1
Junyao Kuang, Caterina Scoglio, Kristin Michel
Physical review. E (2022) Vol. 106, Iss. 6
Open Access | Times Cited: 1
Uncovering the genetics of the human connectome
Aurina Arnatkevičiūtė, Ben Fulcher, Alex Fornito
Elsevier eBooks (2023), pp. 309-341
Closed Access
Aurina Arnatkevičiūtė, Ben Fulcher, Alex Fornito
Elsevier eBooks (2023), pp. 309-341
Closed Access
Deciphering the Genetic Code of Neuronal Type Connectivity Through Bilinear Modeling
Mu Qiao
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Mu Qiao
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access
Deciphering the genetic code of neuronal type connectivity through bilinear modeling
Mu Qiao
eLife (2023) Vol. 12
Open Access
Mu Qiao
eLife (2023) Vol. 12
Open Access
A positive statistical benchmark to assess network agreement
Bingjie Hao, I. Kovács
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access
Bingjie Hao, I. Kovács
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access
