Jay Newby

2.5k total citations · 2 hit papers
43 papers, 1.7k citations indexed

About

Jay Newby is a scholar working on Molecular Biology, Statistical and Nonlinear Physics and Mathematical Physics. According to data from OpenAlex, Jay Newby has authored 43 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Molecular Biology, 20 papers in Statistical and Nonlinear Physics and 8 papers in Mathematical Physics. Recurrent topics in Jay Newby's work include stochastic dynamics and bifurcation (18 papers), Diffusion and Search Dynamics (14 papers) and Stochastic processes and statistical mechanics (8 papers). Jay Newby is often cited by papers focused on stochastic dynamics and bifurcation (18 papers), Diffusion and Search Dynamics (14 papers) and Stochastic processes and statistical mechanics (8 papers). Jay Newby collaborates with scholars based in United States, Canada and United Kingdom. Jay Newby's co-authors include Paul C. Bressloff, M. Gregory Forest, Samuel K. Lai, James P. Keener, Alison Schaefer, Amy S. Gladfelter, Kelsey Gasior, Feifei Xu, Sara E. Wobker and C. Michael Lin and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Jay Newby

42 papers receiving 1.6k 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.

Stochastic models of intracellular transport

2013 420 citations Paul C. Bressloff, Jay Newby profile →
HSP70 chaperones RNA-free TDP-43 into anisotropic intranuclear liquid spherical shells

2021 218 citations Kelsey Gasior, Jay Newby et al. profile →

Author Peers

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

Author						Papers	Cites
Jay Newby	1.0k	428	262	171	169	43	1.7k
Ariel Amir	1.2k 1.2×	210 0.5×	208 0.8×	45 0.3×	123 0.7×	86	2.3k
Ramon Grima	2.2k 2.2×	408 1.0×	264 1.0×	55 0.3×	156 0.9×	106	2.9k
Amitabha Nandi	436 0.4×	205 0.5×	252 1.0×	31 0.2×	469 2.8×	55	1.3k
Stephanie C. Weber	1.8k 1.8×	226 0.5×	184 0.7×	38 0.2×	173 1.0×	16	2.3k
Juan Elezgaray	573 0.6×	175 0.4×	362 1.4×	54 0.3×	39 0.2×	82	1.5k
Tomer Kalisky	1.6k 1.6×	328 0.8×	341 1.3×	46 0.3×	76 0.4×	53	2.9k
Anatoly B. Kolomeisky	2.2k 2.1×	847 2.0×	657 2.5×	360 2.1×	744 4.4×	181	4.2k
Arvind Murugan	447 0.4×	277 0.6×	120 0.5×	26 0.2×	62 0.4×	41	1.6k
José M. G. Vilar	1.9k 1.8×	944 2.2×	306 1.2×	23 0.1×	86 0.5×	60	3.1k
Michael A. Lomholt	1.2k 1.2×	602 1.4×	319 1.2×	324 1.9×	37 0.2×	50	2.0k

Countries citing papers authored by Jay Newby

Since Specialization

Citations

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

Fields of papers citing papers by Jay Newby

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay Newby. 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 Jay Newby. The network helps show where Jay Newby may publish in the future.

Co-authorship network of co-authors of Jay Newby

This figure shows the co-authorship network connecting the top 25 collaborators of Jay Newby. A scholar is included among the top collaborators of Jay Newby 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 Jay Newby. Jay Newby 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

1.

Zhang, Lu, Matthew I. Milowsky, Feifei Xu, et al.. (2024). The Binding Site Barrier Elicited by Tumor-Associated Fibroblasts Interferes Disposition of Nanoparticles in Stroma-Vessel Type Tumors. UNC Libraries.

2.

Zheng, Peng, et al.. (2023). Cooperative motility, force generation and mechanosensing in a foraging non-photosynthetic diatom. Open Biology. 13(10). 230148–230148. 4 indexed citations

3.

Newby, Jay, et al.. (2021). Personalized Virus Load Curves for Acute Viral Infections. Viruses. 13(9). 1815–1815. 5 indexed citations

4.

Gasior, Kelsey, Maguelone G. Forest, Amy S. Gladfelter, & Jay Newby. (2020). Mathematically Modeling Mechanisms of Molecular Identity in Biomolecular Condensates. Biophysical Journal. 118(3). 304a–304a. 1 indexed citations

5.

McLaughlin, Grace A., Erin M. Langdon, John Crutchley, et al.. (2020). Spatial heterogeneity of the cytosol revealed by machine learning-based 3D particle tracking. Molecular Biology of the Cell. 31(14). 1498–1511. 15 indexed citations

6.

Gasior, Kelsey, M. Gregory Forest, Amy S. Gladfelter, & Jay Newby. (2020). Modeling the Mechanisms by Which Coexisting Biomolecular RNA–Protein Condensates Form. Bulletin of Mathematical Biology. 82(12). 153–153. 10 indexed citations

7.

Xu, Feifei, Jay Newby, Holly A. Schroeder, et al.. (2019). Modeling Barrier Properties of Intestinal Mucus Reinforced with IgG and Secretory IgA against Motile Bacteria. ACS Infectious Diseases. 5(9). 1570–1580. 25 indexed citations

8.

Huckaby, Justin T., Christina L. Parker, Timothy M. Jacobs, et al.. (2019). Engineering Polymer‐Binding Bispecific Antibodies for Enhanced Pretargeted Delivery of Nanoparticles to Mucus‐Covered Epithelium. Angewandte Chemie. 131(17). 5660–5664. 3 indexed citations

9.

Huckaby, Justin T., Christina L. Parker, Timothy M. Jacobs, et al.. (2019). Engineering Polymer‐Binding Bispecific Antibodies for Enhanced Pretargeted Delivery of Nanoparticles to Mucus‐Covered Epithelium. Angewandte Chemie International Edition. 58(17). 5604–5608. 16 indexed citations

10.

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

11.

Forest, M. Gregory, et al.. (2019). Limited processivity of single motors improves overall transport flux of self-assembled motor-cargo complexes. Physical review. E. 100(2). 22408–22408. 1 indexed citations

12.

Yang, Bing, Alison Schaefer, Yingying Wang, et al.. (2018). ZMapp Reinforces the Airway Mucosal Barrier Against Ebola Virus. The Journal of Infectious Diseases. 218(6). 901–910. 26 indexed citations

13.

Khan, Anum, Jay Newby, & Amy S. Gladfelter. (2018). Control of septin filament flexibility and bundling by subunit composition and nucleotide interactions. Molecular Biology of the Cell. 29(6). 702–712. 15 indexed citations

14.

Newby, Jay & Michael A. Schwemmer. (2014). Effects of Moderate Noise on a Limit Cycle Oscillator: Counterrotation and Bistability. Physical Review Letters. 112(11). 114101–114101. 22 indexed citations

15.

Bressloff, Paul C. & Jay Newby. (2014). Stochastic hybrid model of spontaneous dendritic NMDA spikes. Physical Biology. 11(1). 16006–16006. 23 indexed citations

16.

Newby, Jay & S. Jonathan Chapman. (2013). Metastable behavior in Markov processes with internal states. Journal of Mathematical Biology. 69(4). 941–976. 12 indexed citations

17.

Isaacson, Samuel A. & Jay Newby. (2013). Uniform asymptotic approximation of diffusion to a small target. Physical Review E. 88(1). 12820–12820. 23 indexed citations

18.

Bressloff, Paul C. & Jay Newby. (2011). Quasi-steady-state analysis of two-dimensional random intermittent search processes. Physical Review E. 83(6). 61139–61139. 26 indexed citations

19.

Newby, Jay & Paul C. Bressloff. (2010). Local synaptic signaling enhances the stochastic transport of motor-driven cargo in neurons. Physical Biology. 7(3). 36004–36004. 27 indexed citations

20.

Newby, Jay & Paul C. Bressloff. (2009). Directed intermittent search for a hidden target on a dendritic tree. Physical Review E. 80(2). 21913–21913. 35 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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