Jay Painter

2.2k citations
9 papers · 1.9k indexed · 2 hit papers · h-index 5

Jay Painter

6 papers receiving 1.9k citations

Hit Papers

Optimal description of a protein structure in terms of mu...1.1k20062026201220192505007501000

Peers

Jay Painter
Comparison fields: 5 of 104
  • Molecular Biology 1.4k
  • Endocrinology 84
  • Molecular Medicine 69
  • Biotechnology 112
  • Virology 55
Replace Gerrit G. Langer with:
Gerrit G. Langer Germany
Thomas Womack Netherlands
T. Krojer United Kingdom
Francis Schaeffer France
Ganesh S. Anand Singapore
Rachel B. Kapust United States
Paul G. Young New Zealand
F. Niesen United Kingdom
Eric de La Fortelle United Kingdom
Catherine Birck France
Jay Painter relative to Gerrit G. Langer Germany Gerrit G. Langer's profile →
Citations per field
00.5×1.5×2.1×
Gerrit G. Langer · 1×
Citations per year

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

The 9 scholars most cited alongside Jay Painter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jay Painter Line = papers co-authored together Jay Painter links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 20231
2 20141
3 20100
4 200835
5
Optimal description of a protein structure in terms of multiple groups undergoing TLS motionbreakdown →
20061127
6
TLSMDweb server for the generation of multi-group TLS modelsbreakdown →
2006683
7 200576
8 200422
9
Experimental evaluation of software-driven digital gain-drift compensation in scintillator gamma-ray spectroscopy
19921

About Jay Painter

Jay Painter is a scholar working on Ocean Engineering, Radiation and Anthropology, having authored 9 papers that have together received 1.9k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (4 papers), Enzyme Structure and Function (4 papers), Oil and Gas Production Techniques (2 papers), RNA and protein synthesis mechanisms (2 papers), Glycosylation and Glycoproteins Research (1 paper), Force Microscopy Techniques and Applications (1 paper), Atomic and Subatomic Physics Research (1 paper) and Biochemical and Structural Characterization (1 paper). The work is most often cited by research in Molecular Biology (1.4k citations), Endocrinology (84 citations) and Molecular Medicine (69 citations). Jay Painter has collaborated with scholars based in United States, Angola and China. Frequent co-authors include E.A. Merritt, Faruck Morcos, Khang Nguyen, Mark Gerstein, Kevin S. Keating, Leslie A. Kuhn, Samuel Coulbourn Flores, Phanish Suryanarayana and Paolo Russo. Their work appears in journals such as Journal of Applied Crystallography, Proteins Structure Function and Bioinformatics, The Classical World, Offshore Technology Conference and Acta Crystallographica Section D Biological Crystallography.

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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