Paul K. Newton

3.3k total citations
111 papers, 2.0k citations indexed

About

Paul K. Newton is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics and Molecular Biology. According to data from OpenAlex, Paul K. Newton has authored 111 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Statistical and Nonlinear Physics, 26 papers in Computational Mechanics and 14 papers in Molecular Biology. Recurrent topics in Paul K. Newton's work include Quantum chaos and dynamical systems (21 papers), Fluid Dynamics and Turbulent Flows (21 papers) and Nonlinear Waves and Solitons (12 papers). Paul K. Newton is often cited by papers focused on Quantum chaos and dynamical systems (21 papers), Fluid Dynamics and Turbulent Flows (21 papers) and Nonlinear Waves and Solitons (12 papers). Paul K. Newton collaborates with scholars based in United States, Japan and Brazil. Paul K. Newton's co-authors include Jeffrey West, Lawrence Sirovich, Peter Kühn, Philip Holmes, Alan Weinstein, Jeremy Mason, Eva Kanso, Joseph B. Keller, Kelly Bethel and Lyudmila Bazhenova and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Paul K. Newton

106 papers receiving 1.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Paul K. Newton United States	24	512	511	257	224	224	111	2.0k
Doron Levy United States	30	1.4k 2.8×	235 0.5×	310 1.2×	284 1.3×	551 2.5×	103	3.2k
George Biros United States	35	1.0k 2.0×	228 0.4×	186 0.7×	79 0.4×	333 1.5×	129	4.1k
David F. Griffiths United Kingdom	34	1.5k 2.9×	353 0.7×	539 2.1×	340 1.5×	174 0.8×	90	4.8k
Emmanuel Grenier France	23	668 1.3×	157 0.3×	258 1.0×	109 0.5×	248 1.1×	69	2.0k
Haruo Yoshida Japan	25	353 0.7×	1.5k 2.9×	157 0.6×	213 1.0×	46 0.2×	93	3.6k
Jacob Rubinstein Israel	28	527 1.0×	310 0.6×	84 0.3×	105 0.5×	84 0.4×	121	3.1k
Eric J. Kostelich United States	31	347 0.7×	1.4k 2.8×	185 0.7×	38 0.2×	175 0.8×	81	5.2k
Barry D. Hughes Australia	31	269 0.5×	705 1.4×	1.2k 4.8×	120 0.5×	799 3.6×	106	4.3k
Juncheng Wei Hong Kong	55	357 0.7×	1.6k 3.2×	1.1k 4.3×	388 1.7×	789 3.5×	534	12.8k
Michael I. Weinstein United States	41	215 0.4×	3.9k 7.7×	720 2.8×	228 1.0×	81 0.4×	131	7.6k

Countries citing papers authored by Paul K. Newton

Since Specialization

Citations

This map shows the geographic impact of Paul K. Newton'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 Paul K. Newton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Paul K. Newton more than expected).

Fields of papers citing papers by Paul K. Newton

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul K. Newton. 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 Paul K. Newton. The network helps show where Paul K. Newton may publish in the future.

Co-authorship network of co-authors of Paul K. Newton

This figure shows the co-authorship network connecting the top 25 collaborators of Paul K. Newton. A scholar is included among the top collaborators of Paul K. Newton 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 Paul K. Newton. Paul K. Newton 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

Newton, Paul K., et al.. (2023). Stochastic competitive release and adaptive chemotherapy. Physical review. E. 108(3). 34407–34407. 3 indexed citations

Pangal, Dhiraj J., Tyler Cardinal, David Craig, et al.. (2022). A quantitative characterization of the spatial distribution of brain metastases from breast cancer and respective molecular subtypes. Journal of Neuro-Oncology. 160(1). 241–251. 4 indexed citations

Ma, Yan & Paul K. Newton. (2021). Role of synergy and antagonism in designing multidrug adaptive chemotherapy schedules. Physical review. E. 103(3). 32408–32408. 13 indexed citations

Cardinal, Tyler, Dhiraj J. Pangal, Ben A. Strickland, et al.. (2021). Anatomical and topographical variations in the distribution of brain metastases based on primary cancer origin and molecular subtypes: a systematic review. Neuro-Oncology Advances. 4(1). vdab170–vdab170. 13 indexed citations

Newton, Paul K. & Yan Ma. (2021). Maximizing cooperation in the prisoner's dilemma evolutionary game via optimal control. Physical review. E. 103(1). 12304–12304. 6 indexed citations

West, Jeffrey, You Li, Jingsong Zhang, et al.. (2020). Towards Multidrug Adaptive Therapy. Cancer Research. 80(7). 1578–1589. 122 indexed citations

Mason, Jeremy, Karanvir Gill, Gus Miranda, et al.. (2019). Machine learning models for predicting post-cystectomy recurrence and survival in bladder cancer patients. PLoS ONE. 14(2). e0210976–e0210976. 52 indexed citations

West, Jeffrey & Paul K. Newton. (2017). Chemotherapeutic Dose Scheduling Based on Tumor Growth Rates Provides a Case for Low-Dose Metronomic High-Entropy Therapies. Cancer Research. 77(23). 6717–6728. 22 indexed citations

Newton, Paul K., Jeremy Mason, Kelly Bethel, et al.. (2013). Spreaders and Sponges Define Metastasis in Lung Cancer: A Markov Chain Monte Carlo Mathematical Model. Cancer Research. 73(9). 2760–2769. 66 indexed citations

10.

Tormoen, Garth W., et al.. (2012). Modeling and Simulation of Procoagulant Circulating Tumor Cells in Flow. SHILAP Revista de lepidopterología. 2. 108–108. 18 indexed citations

11.

Kanso, Eva, et al.. (2009). Von Kármán vortex streets on the sphere. Physics of Fluids. 21(11). 7 indexed citations

12.

Newton, Paul K. & Takashi Sakajo. (2006). The N-vortex problem on a rotating sphere: IV. Ring configurations coupled to a background field. EPrints - Department of Mathematics, Hokkaido University. 797. 1–19. 1 indexed citations

13.

Newton, Paul K.. (2005). The dipole dynamical system. 2005. 692. 4 indexed citations

14.

Marsden, Jerrold E., Paul K. Newton, Philip Holmes, & Alan Weinstein. (2002). Geometry, mechanics, and dynamics : volume in honor of the 60th birthday of J.E. Marsden. Springer eBooks. 7 indexed citations

15.

Newton, Paul K., et al.. (1998). The Interaction of Shocks with Dispersive Waves II. Incompressible‐Integrable Limit. Studies in Applied Mathematics. 100(4). 311–363. 1 indexed citations

16.

Newton, Paul K.. (1994). Hannay-Berry phase and the restricted three-vortex problem. Physica D Nonlinear Phenomena. 79(2-4). 416–423. 5 indexed citations

17.

Newton, Paul K. & Shinya Watanabe. (1993). The geometry of nonlinear Schrödinger standing waves: pure power nonlinearities. Physica D Nonlinear Phenomena. 67(1-3). 19–44. 4 indexed citations

18.

Newton, Paul K.. (1991). Wave interactions in the singular Zakharov system. Journal of Mathematical Physics. 32(2). 431–440. 9 indexed citations

19.

Newton, Paul K. & Joseph B. Keller. (1987). Stability of Periodic Plane Waves. SIAM Journal on Applied Mathematics. 47(5). 959–964. 23 indexed citations

20.

Newton, Paul K., Anthony J. Freemont, J Noble, et al.. (1984). Secondary Malignant Synovitis: Report of Three Cases and Review of the Literature. QJM. 53(209). 135–43. 14 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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