Agnes Day

761 total citations
18 papers, 637 citations indexed

About

Agnes Day is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Agnes Day has authored 18 papers receiving a total of 637 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Cancer Research and 4 papers in Genetics. Recurrent topics in Agnes Day's work include Cancer, Lipids, and Metabolism (4 papers), Cell Adhesion Molecules Research (4 papers) and Bone and Dental Protein Studies (3 papers). Agnes Day is often cited by papers focused on Cancer, Lipids, and Metabolism (4 papers), Cell Adhesion Molecules Research (4 papers) and Bone and Dental Protein Studies (3 papers). Agnes Day collaborates with scholars based in United States, Italy and Syria. Agnes Day's co-authors include John D. Termine, C. McQuillan, Mathew R. Young, Marian F. Young, Pamela Gehron Robey, Larry W. Fisher, Mark E. Bolander, Haile F. Yancy, Marti Jett and Robert Copeland and has published in prestigious journals such as Nucleic Acids Research, Biochemical Journal and Annals of the New York Academy of Sciences.

In The Last Decade

Agnes Day

18 papers receiving 627 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Agnes Day United States 11 379 160 153 127 108 18 637
F. Descalzi Cancedda Italy 13 444 1.2× 111 0.7× 69 0.5× 342 2.7× 110 1.0× 16 801
Bruce E. Linebaugh United States 15 421 1.1× 137 0.9× 334 2.2× 81 0.6× 65 0.6× 23 850
Shinichi Asada Japan 15 491 1.3× 137 0.9× 68 0.4× 50 0.4× 81 0.8× 21 767
K.I. Kivirikko Finland 9 328 0.9× 106 0.7× 122 0.8× 66 0.5× 70 0.6× 10 547
Judy Grover Canada 15 378 1.0× 308 1.9× 109 0.7× 229 1.8× 124 1.1× 23 779
S Tanaka Japan 14 316 0.8× 162 1.0× 129 0.8× 272 2.1× 41 0.4× 31 830
Gerald F. Casperson United States 16 664 1.8× 153 1.0× 66 0.4× 45 0.4× 197 1.8× 22 942
Tatsuya Yamagata Japan 19 715 1.9× 414 2.6× 81 0.5× 93 0.7× 58 0.5× 64 1.0k
Benoit deCrombrugghe United States 14 721 1.9× 61 0.4× 98 0.6× 132 1.0× 260 2.4× 17 993
Jane R. Dunlevy United States 16 289 0.8× 206 1.3× 67 0.4× 27 0.2× 33 0.3× 30 652

Countries citing papers authored by Agnes Day

Since Specialization
Citations

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

Fields of papers citing papers by Agnes Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Agnes Day

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

All Works

18 of 18 papers shown
1.
Darling‐Reed, Selina, Hernan Flores‐Rozas, Patricia Mendonca, et al.. (2021). Diallyl Sulfide Attenuation of Carcinogenesis in Mammary Epithelial Cells through the Inhibition of ROS Formation, and DNA Strand Breaks. Biomolecules. 11(9). 1313–1313. 6 indexed citations
2.
Bowman, Michael J., et al.. (2018). The first report of antifungal lipopeptide production by a Bacillus subtilis subsp. inaquosorum strain. Microbiological Research. 216. 40–46. 24 indexed citations
3.
Abbas, Muneer, Luisel Ricks‐Santi, Desta Beyene, et al.. (2015). Vitamin D receptor genetic polymorphisms are associated with PSA level, Gleason score and prostate cancer risk in African-American men.. PubMed. 35(3). 1549–58. 27 indexed citations
4.
Kanaan, Yasmine, Brante P. Sampey, Desta Beyene, et al.. (2015). Metabolic profile of triple-negative breast cancer in African-American women reveals potential biomarkers of aggressive disease.. PubMed. 11(6). 279–94. 74 indexed citations
5.
Kanaan, Yasmine, Jharna R. Das, Oladapo Bakare, et al.. (2010). Cytotoxic effects of N-(3-chloro-1,4-dioxo 1,4-dihydro-naphthalen-2-yl)-benzamide on androgen-dependent and -independent prostate cancer cell lines.. PubMed. 30(2). 519–27. 3 indexed citations
6.
Muhie, Seid, et al.. (2009). Estrogen receptor-dependent genomic expression profiles in breast cancer cells in response to fatty acids. Journal of Carcinogenesis. 8(1). 17–17. 10 indexed citations
7.
Yancy, Haile F., et al.. (2007). Metastatic progression and gene expression between breast cancer cell lines from African American and Caucasian women. Journal of Carcinogenesis. 6(1). 8–8. 51 indexed citations
8.
Day, Agnes, et al.. (2006). MOLECULAR EXPRESSION PROFILES OF EXTRACELLULAR MATRIX PROTEINS IN HUMAN SKIN DISEASES. Ethnicity & Disease. 16. 20–21. 2 indexed citations
9.
Hammamieh, Rasha, Nabarun Chakraborty, Rina Das, et al.. (2006). Differential Effects of Omega-3 and Omega-6 fatty Acids on Gene Expression in Breast Cancer Cells. Breast Cancer Research and Treatment. 101(1). 7–16. 32 indexed citations
10.
Yancy, Haile F., et al.. (2004). Comparative study of matrix metalloproteinase expression between African American and Caucasian Women.. Journal of Carcinogenesis. 3(1). 15–15. 2 indexed citations
11.
Yancy, Haile F., Sherry Ayers, Dorothy E. Farrell, Agnes Day, & Michael J. Myers. (2001). Differential cytokine mRNA expression in swine whole blood and peripheral blood mononuclear cell cultures. Veterinary Immunology and Immunopathology. 79(1-2). 41–52. 26 indexed citations
12.
Leak, Lee V., M. Saunders, Agnes Day, & Michael Jones. (2000). Stimulation of Plasminogen Activator and Inhibitor in the Lymphatic Endothelium. Microvascular Research. 60(3). 201–211. 8 indexed citations
13.
Kenney, Nicholas J., Toshiaki Saeki, Marco M. Gottardis, et al.. (1993). Expression of transforming growth factor α antisense mRNA inhibits the estrogen‐induced production of TGFα and estrogen‐induced proliferation of estrogen‐responsive human breast cancer cells. Journal of Cellular Physiology. 156(3). 497–514. 47 indexed citations
14.
Young, Marian F., et al.. (1990). Structure and Expression of Osteonectin Mrna in Human Tissue. Connective Tissue Research. 24(1). 17–28. 49 indexed citations
15.
Young, Marian F., Agnes Day, Pamela Gehron Robey, & John D. Termine. (1990). Interaction of Osteonectin and Type I Collagen in Bone Cells. Annals of the New York Academy of Sciences. 580(1). 526–528. 5 indexed citations
16.
Day, Agnes, C. McQuillan, John D. Termine, & Mathew R. Young. (1987). Molecular cloning and sequence analysis of the cDNA for small proteoglycan II of bovine bone. Biochemical Journal. 248(3). 801–805. 133 indexed citations
17.
Day, Agnes, et al.. (1986). Characterization of bone PG II cDNA and its relationship to PG II mRNA from other connective tissues. Nucleic Acids Research. 14(24). 9861–9876. 37 indexed citations
18.
Young, Marian F., et al.. (1986). Osteontctin mRNA: distribution in normal and transformed cells. Nucleic Acids Research. 14(11). 4483–4497. 101 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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