Jay Newman

937 total citations
29 papers, 789 citations indexed

About

Jay Newman is a scholar working on Cell Biology, Molecular Biology and Ecology. According to data from OpenAlex, Jay Newman has authored 29 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cell Biology, 7 papers in Molecular Biology and 5 papers in Ecology. Recurrent topics in Jay Newman's work include Cellular Mechanics and Interactions (11 papers), Bacteriophages and microbial interactions (5 papers) and Advanced Fluorescence Microscopy Techniques (5 papers). Jay Newman is often cited by papers focused on Cellular Mechanics and Interactions (11 papers), Bacteriophages and microbial interactions (5 papers) and Advanced Fluorescence Microscopy Techniques (5 papers). Jay Newman collaborates with scholars based in United States, Italy and Argentina. Jay Newman's co-authors include Harry L. Swinney, Loren A. Day, Lynn A. Selden, Lewis C. Gershman, James E. Estes, Pier Luigi San Biagio, Henry J. Kinosian, M. U. Palma, Bryan Lincoln and Francis D. Carlson and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Molecular Biology and Biochemistry.

In The Last Decade

Jay Newman

29 papers receiving 739 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jay Newman United States	16	287	249	144	124	118	29	789
M. G. L. van den Heuvel Netherlands	8	271 0.9×	390 1.6×	90 0.6×	124 1.0×	284 2.4×	8	929
Tadanao Ito Japan	16	832 2.9×	296 1.2×	61 0.4×	231 1.9×	186 1.6×	22	1.3k
Benjamin Pelz Germany	15	662 2.3×	292 1.2×	109 0.8×	372 3.0×	209 1.8×	25	1.1k
Tetsuichi Wazawa Japan	18	461 1.6×	135 0.5×	102 0.7×	203 1.6×	130 1.1×	45	860
Jeffrey G. Forbes United States	16	413 1.4×	129 0.5×	146 1.0×	258 2.1×	107 0.9×	30	850
Jen Hsin United States	21	1.1k 3.9×	241 1.0×	204 1.4×	374 3.0×	91 0.8×	31	1.6k
Kingo Takiguchi Japan	23	961 3.3×	452 1.8×	80 0.6×	204 1.6×	289 2.4×	59	1.4k
J. Alcalá United States	18	1.0k 3.6×	237 1.0×	231 1.6×	261 2.1×	105 0.9×	34	1.6k
Elizabeth W. Kubalek United States	10	948 3.3×	247 1.0×	128 0.9×	188 1.5×	85 0.7×	10	1.2k
David Pearson Germany	18	771 2.7×	82 0.3×	172 1.2×	64 0.5×	50 0.4×	31	1.0k

Countries citing papers authored by Jay Newman

Since Specialization

Citations

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

Fields of papers citing papers by Jay Newman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jay Newman

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

Newman, Jay, et al.. (2012). Inhibitory Effects of Arginine on the Aggregation of Bovine Insulin. PubMed. 2012. 1–7. 13 indexed citations

Manno, Mauro, Daniela Giacomazza, Jay Newman, Vincenzo Martorana, & Pier Luigi San Biagio. (2009). Amyloid Gels: Precocious Appearance of Elastic Properties during the Formation of an Insulin Fibrillar Network. Langmuir. 26(3). 1424–1426. 24 indexed citations

Newman, Jay. (2008). Physics of the Life Sciences. CERN Document Server (European Organization for Nuclear Research). 17 indexed citations

Bulone, Donatella, Daniela Giacomazza, Vincenzo Martorana, Jay Newman, & Pier Luigi San Biagio. (2004). Ordering of agarose near the macroscopic gelation point. Physical Review E. 69(4). 41401–41401. 27 indexed citations

Selden, Lynn A., Henry J. Kinosian, Jay Newman, et al.. (1998). Severing of F-Actin by the Amino-Terminal Half of Gelsolin Suggests Internal Cooperativity in Gelsolin. Biophysical Journal. 75(6). 3092–3100. 53 indexed citations

Kinosian, Henry J., Jay Newman, Bryan Lincoln, et al.. (1998). Ca2+ Regulation of Gelsolin Activity: Binding and Severing of F-actin. Biophysical Journal. 75(6). 3101–3109. 71 indexed citations

Bulone, Donatella, Jay Newman, & Pier Luigi San Biagio. (1997). Mesoscopic gels at low agarose concentration: perturbation effects of ethanol. Biophysical Journal. 72(1). 388–394. 6 indexed citations

Goverman, Joan, et al.. (1996). The bundling of actin with polyethylene glycol 8000 in the presence and absence of gelsolin. Biophysical Journal. 71(3). 1485–1492. 10 indexed citations

Newman, Jay, et al.. (1995). Mg- and Ca-actin filaments appear virtually identical in steady-state as determined by dynamic light scattering. Biochimica et Biophysica Acta (BBA) - Protein Structure and Molecular Enzymology. 1253(2). 129–132. 10 indexed citations

10.

Newman, Jay, Ken S. Zaner, Lewis C. Gershman, et al.. (1993). Nucleotide exchange and rheometric studies with F-actin prepared from ATP- or ADP-monomeric actin. Biophysical Journal. 64(5). 1559–1566. 27 indexed citations

11.

Newman, Jay, et al.. (1991). Probe diffusion in solutions of filamentous actin formed in the presence of gelsolin. Biopolymers. 31(11). 1265–1271. 4 indexed citations

12.

Newman, Jay, et al.. (1989). The spontaneous formation of long-range order in actin polymer networks. Macromolecules. 22(2). 1006–1008. 9 indexed citations

13.

Biagio, Pier Luigi San, et al.. (1989). CO-Solute control of the self-assembly of a biopolymeric supramolecular structure. Chemical Physics Letters. 154(5). 477–483. 24 indexed citations

14.

Newman, Jay, et al.. (1989). Probe diffusion in cross‐linked actin gels. Biopolymers. 28(11). 1969–1980. 10 indexed citations

15.

Biagio, Pier Luigi San, et al.. (1986). Sol–sol structural transition of aqueous agarose systems. Biopolymers. 25(12). 2255–2269. 56 indexed citations

16.

Newman, Jay, James E. Estes, Lynn A. Selden, & Lewis C. Gershman. (1985). Presence of oligomers at subcritical actin concentrations. Biochemistry. 24(6). 1538–1544. 44 indexed citations

17.

Newman, Jay, et al.. (1984). Comparison of approximations for the analysis of static and dynamic light scattering data from distributions of rodlike polymers: applications to model systems for fibrin and actin. Macromolecules. 17(7). 1391–1396. 5 indexed citations

18.

Newman, Jay, Loren A. Day, Gregory W. Dalack, & Don Eden. (1982). Hydrodynamic determination of molecular weight, dimensions, and structural parameters of Pf3 virus. Biochemistry. 21(14). 3352–3358. 22 indexed citations

19.

Newman, Jay & Francis D. Carlson. (1980). Dynamic Light-Scattering Evidence for the Flexibility of Native Muscle Thin Filaments. Biophysical Journal. 29(1). 37–47. 26 indexed citations

20.

Newman, Jay & Harry L. Swinney. (1976). Length and dipole moment of TMV by laser signal‐averaging transient electric birefringence. Biopolymers. 15(2). 301–315. 29 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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