Stuart C. Ray

892 citations
9 papers · 749 · h-index 8

Impact in

Papers in

Stuart C. Ray

9 papers receiving 717 citations

Peers

Stuart C. Ray
Comparison fields: 5 of 74
  • Computational Theory and Mathematics 202
  • Molecular Biology 581
  • Toxicology 25
  • Physical and Theoretical Chemistry 61
  • Immunology 106
Replace Jenifer Borgognoni with:
Jenifer Borgognoni United Kingdom
Sharna J. Rich United Kingdom
Julie E. Cansfield United Kingdom
Rob Howes United Kingdom
Gary D. Probst United States
Srinivas Rao Kasibhatla United States
Alistair O’Brien United Kingdom
Simeon Bowers United States
Christopher J. Northfield United Kingdom
Danuta Zatorska United States
Stuart C. Ray relative to Jenifer Borgognoni United Kingdom Jenifer Borgognoni's profile →
Citations per field
00.5×1.7×
Jenifer Borgognoni · 1×
Citations per year

Countries citing papers authored by Stuart C. Ray

Since Specialization
Citations

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

Fields of papers citing papers by Stuart C. Ray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stuart C. Ray. 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 Stuart C. Ray. The network helps show where Stuart C. Ray may publish in the future.

Co-authors

The 25 scholars most cited alongside Stuart C. Ray, 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 Stuart C. Ray Line = papers co-authored together Stuart C. Ray links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2007394
2 201079
3 200979
4 201954
5 201240
6 201739
7 202133
8 202128
9 20233

About Stuart C. Ray

Stuart C. Ray is a scholar working on Computational Theory and Mathematics, Molecular Biology, Oncology, Signal Processing and Neurology, having authored 9 papers that have together received 749 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (4 papers), Heat shock proteins research (2 papers), Protein Structure and Dynamics (2 papers), Signaling Pathways in Disease (2 papers), Peptidase Inhibition and Analysis (2 papers), Internet Traffic Analysis and Secure E-voting (1 paper), Parkinson's Disease Mechanisms and Treatments (1 paper) and Cell death mechanisms and regulation (1 paper). The work is most often cited by research in Computational Theory and Mathematics (202 citations), Molecular Biology (581 citations), Toxicology (25 citations), Physical and Theoretical Chemistry (61 citations) and Immunology (106 citations). Stuart C. Ray has collaborated with scholars based in United Kingdom, France and Denmark. Frequent co-authors include Pawel Dokurno, Allan E. Surgenor, James B. Murray, Chris Bryant, Jonathan D. Moore, Ben J. Davis, Lisa M. Baker, David Alexander Robinson, Christine M. Richardson and Simon Scrace. Their work appears in journals such as Journal of Medicinal Chemistry, Bioorganic & Medicinal Chemistry Letters, ACS Omega and Bioorganic & Medicinal Chemistry.

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.

Explore authors with similar magnitude of impact