John Lowengrub

17.4k total citations · 2 hit papers
194 papers, 11.7k citations indexed

About

John Lowengrub is a scholar working on Computational Mechanics, Materials Chemistry and Modeling and Simulation. According to data from OpenAlex, John Lowengrub has authored 194 papers receiving a total of 11.7k indexed citations (citations by other indexed papers that have themselves been cited), including 76 papers in Computational Mechanics, 58 papers in Materials Chemistry and 53 papers in Modeling and Simulation. Recurrent topics in John Lowengrub's work include Mathematical Biology Tumor Growth (52 papers), Solidification and crystal growth phenomena (44 papers) and Fluid Dynamics and Thin Films (34 papers). John Lowengrub is often cited by papers focused on Mathematical Biology Tumor Growth (52 papers), Solidification and crystal growth phenomena (44 papers) and Fluid Dynamics and Thin Films (34 papers). John Lowengrub collaborates with scholars based in United States, Germany and United Kingdom. John Lowengrub's co-authors include Vittorio Cristini, Steven M. Wise, Lev Truskinovsky, Hermann B. Frieboes, Axel Voigt, Paul Macklin, Junseok Kim, Michael Shelley, Thomas Y. Hou and Perry H. Leo and has published in prestigious journals such as Physical Review Letters, Nature Communications and The Journal of Chemical Physics.

In The Last Decade

John Lowengrub

193 papers receiving 11.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Quasi–incompressible Cahn–Hilliard fluids and topological transitions

1998 669 citations John Lowengrub et al. profile →
Removing the stiffness from interfacial flows with surface tension

1994 423 citations John Lowengrub et al. Journal of Computational Physics profile →

Peers

Countries citing papers authored by John Lowengrub

Since Specialization

Citations

This map shows the geographic impact of John Lowengrub's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by John Lowengrub with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Lowengrub more than expected).

Fields of papers citing papers by John Lowengrub

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John Lowengrub. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by John Lowengrub. The network helps show where John Lowengrub may publish in the future.

Co-authorship network of co-authors of John Lowengrub

This figure shows the co-authorship network connecting the top 25 collaborators of John Lowengrub. A scholar is included among the top collaborators of John Lowengrub based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John Lowengrub. John Lowengrub is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Individualizing glioma radiotherapy planning by optimization of a data and physics-informed discrete loss 2025 ·Nature Communications ·(unknown), (unknown), (unknown), Ivan Ezhov, (unknown), Petros Koumoutsakos, Tamaz Amiranashvili, Zirui Zhang, John Lowengrub, Igor Yakushev, Benedikt Wiestler, Bjoern Menze	2
2	Personalized predictions of Glioblastoma infiltration: Mathematical models, Physics-Informed Neural Networks and multimodal scans 2024 ·Medical Image Analysis ·Zirui Zhang, Ivan Ezhov, (unknown), A. N. Zhu, Benedikt Wiestler, Bjoern Menze, John Lowengrub	7
3	tauFisher predicts circadian time from a single sample of bulk and single-cell pseudobulk transcriptomic data 2024 ·Nature Communications ·(unknown), (unknown), (unknown), Lam C. Tsoi, Jóhann E. Guðjónsson, Babak Shahbaba, John Lowengrub, Bogi Andersen	6
4	Sharp-interface problem of the Ohta-Kawasaki model for symmetric diblock copolymers 2023 ·Journal of Computational Physics ·(unknown), (unknown), Shuwang Li, John Lowengrub, Andreas Münch, Barbara Wagner	4
5	Predictive nonlinear modeling of malignant myelopoiesis and tyrosine kinase inhibitor therapy 2023 ·eLife ·(unknown), (unknown), Nilamani Jena, (unknown), Zhongying Liu, Arthur D. Lander, John Lowengrub, Richard A. Van Etten	4
6	Tumor growth towards lower extracellular matrix conductivity regions under Darcy’s Law and steady morphology 2022 ·Journal of Mathematical Biology ·Xiaoming Zheng, Kun Zhao, Trachette L. Jackson, John Lowengrub	3
7	Mathematical modeling of cancer immunotherapy for personalized clinical translation 2022 ·Nature Computational Science ·Joseph D. Butner, Prashant Dogra, Caroline Chung, Renata Pasqualini, Wadih Arap, John Lowengrub, Vittorio Cristini, Zhihui Wang	32
8	Spatial dynamics of feedback and feedforward regulation in cell lineages 2022 ·PLoS Computational Biology ·(unknown), John Lowengrub, Natalia L. Komarova, Dominik Wodarz	2
9	A multiscale model of virus pandemic: Heterogeneous interactive entities in a globally connected world 2020 ·CINECA IRIS Institutional Research Information System (Sant'Anna School of Advanced Studies) ·Nicola Bellomo, Richard J. Bingham, Mark A. J. Chaplain, Giovanni Dosi, Guido Forni, Damián Knopoff, John Lowengrub, Reidun Twarock, Maria Enrica Virgillito	108
10	Modeling the vertical growth of van der Waals stacked 2D materials using the diffuse domain method 2019 ·Modelling and Simulation in Materials Science and Engineering ·Zhenlin Guo, Christopher C. Price, Vivek B. Shenoy, John Lowengrub	4
11	Personalized Radiotherapy Planning for Glioma Using Multimodal Bayesian Model Calibration. 2018 ·arXiv (Cornell University) ·Jana Lipková, Panagiotis Angelikopoulos, Stephen Wu, Esther Alberts, Benedikt Wiestler, Christian Diehl, Christine Preibisch, Thomas Pyka, Stephanie E. Combs, Panagiotis Hadjidoukas, Koen Van Leemput, Petros Koumoutsakos, John Lowengrub, Bjoern Menze	1
12	3D Mathematical Modeling of Glioblastoma Suggests That Transdifferentiated Vascular Endothelial Cells Mediate Resistance to Current Standard-of-Care Therapy 2017 ·Cancer Research ·(unknown), Mónica Romero-López, (unknown), Kaijun Di, Hermann B. Frieboes, Christopher C.W. Hughes, Daniela A. Bota, John Lowengrub	32
13	Simulating interfacial anisotropy in thin-film growth using an extended Cahn-Hilliard model 2012 ·Physical Review E ·Solmaz Torabi, John Lowengrub	25
14	Applications of a new In vivo tumor spheroid based shell-less chorioallantoic membrane 3-D model in bioengineering research 2010 ·Journal of Biomedical Science and Engineering ·(unknown), Lih‐Huei L. Liaw, Michael W. Berns, Vittorio Cristini, Zhongping Chen, Dwayne G. Stupack, John Lowengrub	8
15	Selection in spatial stochastic models of cancer: Migration as a key modulator of fitness 2010 ·Biology Direct ·Craig J. Thalhauser, John Lowengrub, Dwayne G. Stupack, Natalia L. Komarova	26
16	Multiparameter Computational Modeling of Tumor Invasion 2009 ·Cancer Research ·Elaine L. Bearer, John Lowengrub, Hermann B. Frieboes, Yao-Li Chuang, Fang Jin, Steven M. Wise, Mauro Ferrari, David B. Agus, Vittorio Cristini	98
17	Solving pdes in complex geometries 2009 ·Communications in Mathematical Sciences ·(unknown), John Lowengrub, (unknown), Axel Voigt	164
18	A Deterministic Mechanism for Side-branching in Dendritic Growth 2008 ·Shuwang Li, Xiangrong Li, John Lowengrub, M. E. Glicksman	2
19	Surface Phase Separation and Flow in a Simple Model of Multicomponent Drops and Vesicles 2007 ·John Lowengrub, (unknown), Axel Voigt	25
20	An algorithm for adaptive remeshing of 2D and 3D domains: Application to the level-set method 2003 ·APS ·Xiaoming Zheng, Vittorio Cristini, John Lowengrub, Tony Anderson	1

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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