R. Greg Stacey

1.0k total citations
34 papers, 631 citations indexed

About

R. Greg Stacey is a scholar working on Molecular Biology, Spectroscopy and Cell Biology. According to data from OpenAlex, R. Greg Stacey has authored 34 papers receiving a total of 631 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Spectroscopy and 6 papers in Cell Biology. Recurrent topics in R. Greg Stacey's work include Bioinformatics and Genomic Networks (10 papers), Advanced Proteomics Techniques and Applications (7 papers) and Biotin and Related Studies (6 papers). R. Greg Stacey is often cited by papers focused on Bioinformatics and Genomic Networks (10 papers), Advanced Proteomics Techniques and Applications (7 papers) and Biotin and Related Studies (6 papers). R. Greg Stacey collaborates with scholars based in Canada, United Kingdom and United States. R. Greg Stacey's co-authors include Leonard J. Foster, Michael A. Skinnider, David S. Wishart, Nichollas E. Scott, Craig H. Kerr, Daniela Salas, David Rattray, Queenie W. T. Chan, Nikolay Stoynov and Catherine M. Cowan and has published in prestigious journals such as Cell, Journal of Biological Chemistry and Bioinformatics.

In The Last Decade

R. Greg Stacey

30 papers receiving 626 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. Greg Stacey Canada 13 436 128 96 86 84 34 631
M. Schwalbe Germany 11 497 1.1× 78 0.6× 35 0.4× 98 1.1× 105 1.3× 12 674
Inigo Barrio‐Hernandez United Kingdom 14 883 2.0× 77 0.6× 59 0.6× 103 1.2× 63 0.8× 22 1.2k
Alain Ibáñez de Opakua Germany 19 787 1.8× 64 0.5× 28 0.3× 113 1.3× 80 1.0× 38 1.1k
P.C.M. Vanzijl United States 6 504 1.2× 171 1.3× 16 0.2× 55 0.6× 118 1.4× 7 1.1k
Christian Haupt Germany 17 757 1.7× 39 0.3× 66 0.7× 79 0.9× 94 1.1× 42 1.0k
Arina Hadziselimovic United States 13 728 1.7× 85 0.7× 67 0.7× 168 2.0× 65 0.8× 17 999
Pearl Akamine United States 8 597 1.4× 57 0.4× 45 0.5× 90 1.0× 127 1.5× 18 712
Giorgio Favrin United Kingdom 11 504 1.2× 51 0.4× 53 0.6× 53 0.6× 132 1.6× 15 683
Andrew L. Hellewell United Kingdom 10 599 1.4× 38 0.3× 38 0.4× 105 1.2× 58 0.7× 13 861
Bogdan Munteanu Germany 15 380 0.9× 138 1.1× 50 0.5× 48 0.6× 26 0.3× 29 718

Countries citing papers authored by R. Greg Stacey

Since Specialization
Citations

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

Fields of papers citing papers by R. Greg Stacey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. Greg Stacey. 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 R. Greg Stacey. The network helps show where R. Greg Stacey may publish in the future.

Co-authorship network of co-authors of R. Greg Stacey

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

All Works

20 of 20 papers shown
1.
Stacey, R. Greg, et al.. (2024). Global Interactome Mapping Reveals Pro-tumorigenic Interactions of NF-κB in Breast Cancer. Molecular & Cellular Proteomics. 23(4). 100744–100744. 4 indexed citations
2.
Bar‐Yoseph, Haggai, Antonio Serapio-Palacios, Kyung‐Mee Moon, et al.. (2024). Bile acid–induced metabolic changes in the colon promote Enterobacteriaceae expansion and associate with dysbiosis in Crohn’s disease. Science Signaling. 17(867). eadl1786–eadl1786.
3.
Petersen, Charisse, Kyung‐Mee Moon, R. Greg Stacey, et al.. (2024). A Murine Model of Maternal Micronutrient Deficiencies and Gut Inflammatory Host-microbe Interactions in the Offspring. Cellular and Molecular Gastroenterology and Hepatology. 17(5). 827–852. 4 indexed citations
4.
Skinnider, Michael A., Nichollas E. Scott, Anna Prudova, et al.. (2021). An atlas of protein-protein interactions across mouse tissues. Cell. 184(15). 4073–4089.e17. 60 indexed citations
5.
Berger, Caroline, et al.. (2020). Frequent Assembly of Chimeric Complexes in the Protein Interaction Network of an Interspecies Yeast Hybrid. Molecular Biology and Evolution. 38(4). 1384–1401. 12 indexed citations
6.
Stacey, R. Greg, Michael A. Skinnider, & Leonard J. Foster. (2020). On the Robustness of Graph-Based Clustering to Random Network Alterations. Molecular & Cellular Proteomics. 20. 100002–100002. 10 indexed citations
7.
Kerr, Craig H., Michael A. Skinnider, Queenie W. T. Chan, et al.. (2020). Dynamic rewiring of the human interactome by interferon signaling. Genome biology. 21(1). 140–140. 27 indexed citations
8.
Stacey, R. Greg, John William Young, Irvinder Singh Wason, et al.. (2019). Profiling the Escherichia coli membrane protein interactome captured in Peptidisc libraries. eLife. 8. 50 indexed citations
9.
Silverman, Judith M., Kyung‐Mee Moon, Catherine M. Cowan, et al.. (2019). CNS-derived extracellular vesicles from superoxide dismutase 1 (SOD1)G93A ALS mice originate from astrocytes and neurons and carry misfolded SOD1. Journal of Biological Chemistry. 294(10). 3744–3759. 128 indexed citations
10.
Salas, Daniela, et al.. (2019). Next-generation Interactomics: Considerations for the Use of Co-elution to Measure Protein Interaction Networks. Molecular & Cellular Proteomics. 19(1). 1–10. 46 indexed citations
11.
Stacey, R. Greg, Michael A. Skinnider, Jenny Chik, & Leonard J. Foster. (2018). Context-specific interactions in literature-curated protein interaction databases. BMC Genomics. 19(1). 758–758. 21 indexed citations
12.
Skinnider, Michael A., R. Greg Stacey, & Leonard J. Foster. (2018). Genomic data integration systematically biases interactome mapping. PLoS Computational Biology. 14(10). e1006474–e1006474. 28 indexed citations
13.
Stacey, R. Greg, Michael A. Skinnider, Nichollas E. Scott, & Leonard J. Foster. (2017). A rapid and accurate approach for prediction of interactomes from co-elution data (PrInCE). BMC Bioinformatics. 18(1). 457–457. 48 indexed citations
14.
15.
Fradkin, Larissa & R. Greg Stacey. (2009). The high-frequency description of scatter of a plane compressional wave by an elliptic crack. Ultrasonics. 50(4-5). 529–538. 6 indexed citations
16.
Stacey, R. Greg. (2003). Stability Analysis of Finite-Difference Approximations of Elastic Wave Equations. Bulletin of the Seismological Society of America. 93(3). 1198–1211. 2 indexed citations
17.
Stacey, R. Greg. (1995). Separation of longitudinal and transverse waves in elastic scattering using finite difference methods. The Journal of the Acoustical Society of America. 98(1). 261–269. 1 indexed citations
18.
Stacey, R. Greg & J.P. Weight. (1994). Pulse-echo scattering in solids with nonuniform transducers. IEE Proceedings - Science Measurement and Technology. 141(5). 363–368. 3 indexed citations
19.
Stacey, R. Greg. (1994). New finite-difference methods for free surfaces with a stability analysis. Bulletin of the Seismological Society of America. 84(1). 171–184. 18 indexed citations
20.
Stacey, R. Greg. (1983). Simple doubling of lattice fermions. Physics Letters B. 127(6). 440–442.

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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