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 sort by overperformance

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 →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
John Lowengrub	4.6k	4.2k	2.7k	1.8k	1.5k	194	11.7k
Steven M. Wise	3.0k 0.7×	3.9k 0.9×	1.5k 0.5×	1.8k 1.0×	363 0.2×	104	6.7k
Petros Koumoutsakos	5.1k 1.1×	2.8k 0.7×	311 0.1×	1.2k 0.6×	3.6k 2.4×	279	17.0k
Vittorio Cristini	1.7k 0.4×	1.0k 0.2×	3.5k 1.3×	745 0.4×	2.6k 1.7×	159	9.0k
Leonard M. Sander	1.5k 0.3×	4.8k 1.1×	612 0.2×	483 0.3×	1.5k 1.0×	176	15.5k
James A. Glazier	520 0.1×	1.2k 0.3×	1.5k 0.6×	328 0.2×	2.0k 1.4×	158	8.4k
Luigi Preziosi	856 0.2×	734 0.2×	2.0k 0.7×	596 0.3×	1.8k 1.2×	156	6.5k
Wouter‐Jan Rappel	583 0.1×	2.3k 0.5×	372 0.1×	234 0.1×	1.6k 1.1×	164	9.7k
Junseok Kim	4.1k 0.9×	4.4k 1.0×	369 0.1×	1.4k 0.8×	941 0.6×	454	8.4k
S. Jonathan Chapman	653 0.1×	339 0.1×	902 0.3×	598 0.3×	717 0.5×	231	6.5k
Héctor Gómez	2.1k 0.5×	858 0.2×	437 0.2×	605 0.3×	446 0.3×	137	4.4k

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

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20 of 20 papers shown

Ezhov, Ivan, Petros Koumoutsakos, Tamaz Amiranashvili, et al.. (2025). Individualizing glioma radiotherapy planning by optimization of a data and physics-informed discrete loss. Nature Communications. 16(1). 5982–5982. 2 indexed citations

Tsoi, Lam C., et al.. (2024). tauFisher predicts circadian time from a single sample of bulk and single-cell pseudobulk transcriptomic data. Nature Communications. 15(1). 3840–3840. 6 indexed citations

Zhang, Zirui, Ivan Ezhov, A. N. Zhu, et al.. (2024). Personalized predictions of Glioblastoma infiltration: Mathematical models, Physics-Informed Neural Networks and multimodal scans. Medical Image Analysis. 101. 103423–103423. 7 indexed citations

Li, Shuwang, et al.. (2023). Sharp-interface problem of the Ohta-Kawasaki model for symmetric diblock copolymers. Journal of Computational Physics. 481. 112032–112032. 4 indexed citations

Jena, Nilamani, et al.. (2023). Predictive nonlinear modeling of malignant myelopoiesis and tyrosine kinase inhibitor therapy. eLife. 12. 4 indexed citations

Butner, Joseph D., Prashant Dogra, Caroline Chung, et al.. (2022). Mathematical modeling of cancer immunotherapy for personalized clinical translation. Nature Computational Science. 2(12). 785–796. 32 indexed citations

Zheng, Xiaoming, Kun Zhao, Trachette L. Jackson, & John Lowengrub. (2022). Tumor growth towards lower extracellular matrix conductivity regions under Darcy’s Law and steady morphology. Journal of Mathematical Biology. 85(1). 5–5. 3 indexed citations

Lipková, Jana, Bjoern Menze, Benedikt Wiestler, Petros Koumoutsakos, & John Lowengrub. (2022). Modelling glioma progression, mass effect and intracranial pressure in patient anatomy. Journal of The Royal Society Interface. 19(188). 20210922–20210922. 20 indexed citations

Bellomo, Nicola, Richard J. Bingham, Mark A. J. Chaplain, et al.. (2020). A multiscale model of virus pandemic: Heterogeneous interactive entities in a globally connected world. CINECA IRIS Institutional Research Information System (Sant'Anna School of Advanced Studies). 108 indexed citations

10.

Ruiz, Rolando, Chi‐Fen Chen, Tatiana B. Krasieva, et al.. (2020). Dynamics of nevus development implicate cell cooperation in the growth arrest of transformed melanocytes. eLife. 9. 23 indexed citations

11.

Guo, Zhenlin, Christopher C. Price, Vivek B. Shenoy, & John Lowengrub. (2019). Modeling the vertical growth of van der Waals stacked 2D materials using the diffuse domain method. Modelling and Simulation in Materials Science and Engineering. 28(2). 25002–25002. 4 indexed citations

12.

Chu, Brian, et al.. (2019). Hydrodynamics of transient cell-cell contact: The role of membrane permeability and active protrusion length. PLoS Computational Biology. 15(4). e1006352–e1006352. 9 indexed citations

13.

Lipková, Jana, Panagiotis Angelikopoulos, Stephen Wu, et al.. (2018). Personalized Radiotherapy Planning for Glioma Using Multimodal Bayesian Model Calibration.. arXiv (Cornell University). 1 indexed citations

14.

Romero-López, Mónica, Kaijun Di, Hermann B. Frieboes, et al.. (2017). 3D Mathematical Modeling of Glioblastoma Suggests That Transdifferentiated Vascular Endothelial Cells Mediate Resistance to Current Standard-of-Care Therapy. Cancer Research. 77(15). 4171–4184. 32 indexed citations

15.

Lervåg, Karl Yngve & John Lowengrub. (2016). ANALYSIS OF THE DIFFUSE-DOMAIN METHOD FOR SOLVING PDES IN COMPLEX GEOMETRIES∗. 25 indexed citations

16.

Liaw, Lih‐Huei L., Michael W. Berns, Vittorio Cristini, et al.. (2010). Applications of a new In vivo tumor spheroid based shell-less chorioallantoic membrane 3-D model in bioengineering research. Journal of Biomedical Science and Engineering. 3(1). 20–26. 8 indexed citations

17.

Bearer, Elaine L., John Lowengrub, Hermann B. Frieboes, et al.. (2009). Multiparameter Computational Modeling of Tumor Invasion. Cancer Research. 69(10). 4493–4501. 98 indexed citations

18.

Li, Shuwang, Xiangrong Li, John Lowengrub, & M. E. Glicksman. (2008). A Deterministic Mechanism for Side-branching in Dendritic Growth. 4(1). 27–42. 2 indexed citations

19.

Lowengrub, John, et al.. (2007). Surface Phase Separation and Flow in a Simple Model of Multicomponent Drops and Vesicles. 3(1). 1–20. 25 indexed citations

20.

Zheng, Xiaoming, Vittorio Cristini, John Lowengrub, & Tony Anderson. (2003). An algorithm for adaptive remeshing of 2D and 3D domains: Application to the level-set method. APS. 56. 1 indexed citations

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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