Jay Painter

2.2k total citations · 2 hit papers
9 papers, 1.9k citations indexed

About

Jay Painter is a scholar working on Molecular Biology, Materials Chemistry and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Jay Painter has authored 9 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Materials Chemistry and 2 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Jay Painter's work include Protein Structure and Dynamics (4 papers), Enzyme Structure and Function (4 papers) and Oil and Gas Production Techniques (2 papers). Jay Painter is often cited by papers focused on Protein Structure and Dynamics (4 papers), Enzyme Structure and Function (4 papers) and Oil and Gas Production Techniques (2 papers). Jay Painter collaborates with scholars based in United States, Angola and China. Jay Painter's co-authors include E.A. Merritt, Faruck Morcos, Samuel Coulbourn Flores, Khang Nguyen, Kevin S. Keating, Leslie A. Kuhn, Mark Gerstein, Paolo Russo and Phanish Suryanarayana and has published in prestigious journals such as Journal of Applied Crystallography, Proteins Structure Function and Bioinformatics and The Classical World.

In The Last Decade

Jay Painter

6 papers receiving 1.9k citations

Hit Papers

Optimal description of a protein structure in terms of mu... 2006 2026 2012 2019 2006 2006 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jay Painter United States 5 1.4k 501 291 175 135 9 1.9k
Thomas Womack Netherlands 3 1.3k 0.9× 393 0.8× 184 0.6× 159 0.9× 181 1.3× 3 1.8k
Gerrit G. Langer Germany 5 1.1k 0.8× 451 0.9× 196 0.7× 97 0.6× 115 0.9× 8 1.5k
Maarten L. Hekkelman Netherlands 12 2.0k 1.4× 406 0.8× 375 1.3× 126 0.7× 148 1.1× 19 2.6k
Paul G. Young New Zealand 26 1.9k 1.4× 359 0.7× 200 0.7× 264 1.5× 165 1.2× 76 2.7k
Stephen R. Comeau United States 11 2.1k 1.5× 433 0.9× 163 0.6× 174 1.0× 186 1.4× 19 2.7k
Anne‐Marie Gilles France 29 1.9k 1.4× 676 1.3× 388 1.3× 258 1.5× 251 1.9× 81 2.6k
Eric de La Fortelle France 11 2.2k 1.6× 898 1.8× 326 1.1× 95 0.5× 155 1.1× 14 2.8k
J.M. Sauder United States 25 1.7k 1.2× 398 0.8× 291 1.0× 61 0.3× 143 1.1× 52 2.4k
Maria C. Bewley United States 24 1.7k 1.2× 290 0.6× 556 1.9× 207 1.2× 295 2.2× 45 2.8k
S. James Remington United States 28 1.6k 1.1× 752 1.5× 240 0.8× 73 0.4× 199 1.5× 42 2.1k

Countries citing papers authored by Jay Painter

Since Specialization
Citations

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

Fields of papers citing papers by Jay Painter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jay Painter

This figure shows the co-authorship network connecting the top 25 collaborators of Jay Painter. A scholar is included among the top collaborators of Jay Painter 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 Painter. Jay Painter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
1.
Suryanarayana, Phanish, et al.. (2023). Multi-String Analysis of a Mudline Hanger System in High Temperature Wells During Production. Offshore Technology Conference. 1 indexed citations
2.
Painter, Jay, et al.. (2014). Developing Reliability in Hydraulic Stimulation Operations. 1 indexed citations
3.
Painter, Jay, et al.. (2010). "Page and Stage": The Actor's Perspective. The Classical World. 103(2). 251–255.
4.
Flores, Samuel Coulbourn, Kevin S. Keating, Jay Painter, et al.. (2008). HingeMaster: Normal mode hinge prediction approach and integration of complementary predictors. Proteins Structure Function and Bioinformatics. 73(2). 299–319. 35 indexed citations
5.
Painter, Jay & E.A. Merritt. (2006). Optimal description of a protein structure in terms of multiple groups undergoing TLS motion. Acta Crystallographica Section D Biological Crystallography. 62(4). 439–450. 1127 indexed citations breakdown →
6.
Painter, Jay & E.A. Merritt. (2006). TLSMDweb server for the generation of multi-group TLS models. Journal of Applied Crystallography. 39(1). 109–111. 683 indexed citations breakdown →
7.
Painter, Jay & E.A. Merritt. (2005). A molecular viewer for the analysis of TLS rigid-body motion in macromolecules. Acta Crystallographica Section D Biological Crystallography. 61(4). 465–471. 76 indexed citations
8.
Painter, Jay & E.A. Merritt. (2004). mmLibPython toolkit for manipulating annotated structural models of biological macromolecules. Journal of Applied Crystallography. 37(1). 174–178. 22 indexed citations
9.
Russo, Paolo, et al.. (1992). Experimental evaluation of software-driven digital gain-drift compensation in scintillator gamma-ray spectroscopy. 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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