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:

A protocol for dynamic model calibration
Alejandro F. Villaverde, Dilan Pathirana, Fabian Fröhlich, et al.
Briefings in Bioinformatics (2021) Vol. 23, Iss. 1
Open Access | Times Cited: 77

Showing 1-25 of 77 citing articles:

Assessing the Value of ChatGPT for Clinical Decision Support Optimization
Siru Liu, Aileen P. Wright, Barron L. Patterson, et al.
medRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 69

Benchmarking tools for a priori identifiability analysis
Xabier Rey Barreiro, Alejandro F. Villaverde
Bioinformatics (2023) Vol. 39, Iss. 2
Open Access | Times Cited: 30

Modelling count data with partial differential equation models in biology
Matthew J. Simpson, Ryan J. Murphy, Oliver J. Maclaren
Journal of Theoretical Biology (2024) Vol. 580, pp. 111732-111732
Open Access | Times Cited: 11

Integrative modeling uncovers p21-driven drug resistance and prioritizes therapies for PIK3CA-mutant breast cancer
Hon Yan Kelvin Yip, Sung‐Young Shin, Annabel Chee, et al.
npj Precision Oncology (2024) Vol. 8, Iss. 1
Open Access | Times Cited: 8

Building blocks needed for mechanistic modeling of bioprocesses: A critical review based on protein production by CHO cells
Yusmel González-Hernández, Patrick Perré
Metabolic Engineering Communications (2024) Vol. 18, pp. e00232-e00232
Open Access | Times Cited: 7

Assessment of Prediction Uncertainty Quantification Methods in Systems Biology
Alejandro F. Villaverde, Elba Raimúndez, Jan Hasenauer, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics (2022) Vol. 20, Iss. 3, pp. 1725-1736
Open Access | Times Cited: 25

The relationship between confidence intervals and distributions of estimators for parameters of deterministic models
Konstadia Lika, S.A.L.M. Kooijman
Ecological Modelling (2024) Vol. 490, pp. 110645-110645
Open Access | Times Cited: 4

ATAC-seq as a versatile tool to portray genomes and epigenomes
Islem Toumi, Laurent Le Cam, Pierre‐François Roux
bioRxiv (Cold Spring Harbor Laboratory) (2025)
Closed Access

Employing Observability Rank Conditions for Taking into Account Experimental Information a priori
Alejandro F. Villaverde
Bulletin of Mathematical Biology (2025) Vol. 87, Iss. 3
Open Access

Timed batch inputs unlock significantly higher yields for enzymatic cascades
Wilhelm T. S. Huck, ‪Miglė Jakštaitė, Tao Zhou, et al.
Research Square (Research Square) (2025)
Closed Access

iPHoP: an integrated machine-learning framework to maximize host prediction for metagenome-assembled virus genomes
Simon Roux, Antônio Pedro Camargo, Felipe H. Coutinho, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Open Access | Times Cited: 21

Improved gene annotation of the fungal wheat pathogenZymoseptoria triticibased on combined Iso-Seq and RNA-Seq evidence
Nicolas Lapalu, Lucie Lamothe, Yohann Petit, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 9

NuFold: A Novel Tertiary RNA Structure Prediction Method Using Deep Learning with Flexible Nucleobase Center Representation
Yuki Kagaya, Zicong Zhang, Nabil Ibtehaz, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 7

System identifiability in a time-evolving agent-based model
Tal Robin, Jaime Cascante-Vega, Jeffrey Shaman, et al.
PLoS ONE (2024) Vol. 19, Iss. 1, pp. e0290821-e0290821
Open Access | Times Cited: 2

Reliable and efficient parameter estimation using approximate continuum limit descriptions of stochastic models
Matthew J. Simpson, Ruth E. Baker, Pascal R. Buenzli, et al.
Journal of Theoretical Biology (2022) Vol. 549, pp. 111201-111201
Open Access | Times Cited: 11

Efficient computation of adjoint sensitivities at steady-state in ODE models of biochemical reaction networks
Polina Lakrisenko, Paul Stapor, Stephan Grein, et al.
PLoS Computational Biology (2023) Vol. 19, Iss. 1, pp. e1010783-e1010783
Open Access | Times Cited: 6

BGCFlow: Systematic pangenome workflow for the analysis of biosynthetic gene clusters across large genomic datasets
Matin Nuhamunada, Omkar S. Mohite, Patrick V. Phaneuf, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2023)
Open Access | Times Cited: 6

Changes in a new type of genomic accordion may open the pallets to increased monkeypox transmissibility
Sara Monzón, Sarai Varona, Anabel Negredo, et al.
bioRxiv (Cold Spring Harbor Laboratory) (2022)
Closed Access | Times Cited: 9

Process Model Inversion in the Data-Driven Engineering Context for Improved Parameter Sensitivities
Subiksha Selvarajan, Aike Aline Tappe, Caroline Heiduk, et al.
Processes (2022) Vol. 10, Iss. 9, pp. 1764-1764
Open Access | Times Cited: 8

A Comparison of Antibody-Antigen Complex Sequence-to-Structure Prediction Methods and their Systematic Biases
Katherine Maia McCoy, Margaret E. Ackerman, Gevorg Grigoryan
bioRxiv (Cold Spring Harbor Laboratory) (2024)
Open Access | Times Cited: 1

Active learning maps the emergent dynamics of enzymatic reaction networks.
‪Miglė Jakštaitė, Tao Zhou, Frank H. T. Nelissen, et al.
(2024)
Open Access | Times Cited: 1

Non-Negative Universal Differential Equations With Applications in Systems Biology
Maren Philipps, Antonia Körner, Jakob Vanhoefer, et al.
IFAC-PapersOnLine (2024) Vol. 58, Iss. 23, pp. 25-30
Open Access | Times Cited: 1

Unified knowledge-driven network inference from omics data
Pablo Rodríguez-Mier, Martín Garrido‐Rodríguez, Attila Gábor, et al.
(2024)
Open Access | Times Cited: 1

Analyzing the Influential Factors on ICaF Performance in Bayesian Model Calibration and Forecasting
Xinyue Xu, Yishuang Wang, Roland Platz, et al.
Conference proceedings of the Society for Experimental Mechanics (2024), pp. 73-81
Closed Access | Times Cited: 1

Bumble bee pollination and the wildflower/crop trade-off: When do wildflower enhancements improve crop yield?
Bruno Carturan, Nourridine Siewe, Christina A. Cobbold, et al.
Ecological Modelling (2023) Vol. 484, pp. 110447-110447
Open Access | Times Cited: 4

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