Suzi Safarians

456 total citations
10 papers, 362 citations indexed

About

Suzi Safarians is a scholar working on Molecular Biology, Oncology and Immunology and Allergy. According to data from OpenAlex, Suzi Safarians has authored 10 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Oncology and 2 papers in Immunology and Allergy. Recurrent topics in Suzi Safarians's work include Cancer Cells and Metastasis (3 papers), Protease and Inhibitor Mechanisms (2 papers) and Cell Adhesion Molecules Research (2 papers). Suzi Safarians is often cited by papers focused on Cancer Cells and Metastasis (3 papers), Protease and Inhibitor Mechanisms (2 papers) and Cell Adhesion Molecules Research (2 papers). Suzi Safarians collaborates with scholars based in United States and United Kingdom. Suzi Safarians's co-authors include Sanford H. Barsky, Mark D. Sternlicht, Paul A. Kedeshian, Zhi Ming Shao, Thomas C. Calcaterra, Carol J. Mirell, Susan M. Love, Koei Chin, Alan L. Hiti and Joe Gray and has published in prestigious journals such as Oncogene, Biochemical and Biophysical Research Communications and International Journal of Cancer.

In The Last Decade

Suzi Safarians

10 papers receiving 356 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suzi Safarians United States 8 212 157 126 60 59 10 362
Tetsuyo ODAJIMA Japan 12 178 0.8× 272 1.7× 66 0.5× 67 1.1× 23 0.4× 32 471
Marcilei Buim Brazil 11 194 0.9× 127 0.8× 99 0.8× 56 0.9× 19 0.3× 13 339
Manuel Florentino Fresno Spain 11 190 0.9× 165 1.1× 126 1.0× 86 1.4× 39 0.7× 13 395
Paul A. Kedeshian United States 3 178 0.8× 235 1.5× 97 0.8× 29 0.5× 185 3.1× 5 482
Kirsten G. Edington United Kingdom 7 213 1.0× 228 1.5× 78 0.6× 37 0.6× 10 0.2× 7 427
Natsuyo Noguchi Japan 11 181 0.9× 169 1.1× 93 0.7× 40 0.7× 23 0.4× 23 377
Koji YOSHIGA Japan 12 100 0.5× 188 1.2× 93 0.7× 90 1.5× 11 0.2× 46 405
Minna Takkunen Finland 6 199 0.9× 263 1.7× 70 0.6× 47 0.8× 70 1.2× 8 426
Donatella Brancorsini Italy 10 150 0.7× 129 0.8× 50 0.4× 93 1.6× 32 0.5× 27 418
Andrea Treszl Hungary 12 179 0.8× 164 1.0× 81 0.6× 34 0.6× 13 0.2× 16 353

Countries citing papers authored by Suzi Safarians

Since Specialization
Citations

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

Fields of papers citing papers by Suzi Safarians

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suzi Safarians

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

All Works

10 of 10 papers shown
1.
Barsky, Sanford H., Mark D. Sternlicht, Suzi Safarians, et al.. (1997). Evidence of a dominant transcriptional pathway which regulates an undifferentiated and complete metastatic phenotype. Oncogene. 15(17). 2077–2091. 13 indexed citations
2.
Sternlicht, Mark D., Paul A. Kedeshian, Zhi Ming Shao, Suzi Safarians, & Sanford H. Barsky. (1997). The human myoepithelial cell is a natural tumor suppressor.. PubMed. 3(11). 1949–58. 193 indexed citations
3.
Safarians, Suzi, et al.. (1997). Ectopic G-CSF expression in human melanoma lines marks a trans-dominant pathway of tumor progression.. PubMed. 150(3). 949–62. 7 indexed citations
4.
Sternlicht, Mark D., Suzi Safarians, Thomas C. Calcaterra, & Sanford H. Barsky. (1996). Establishment and characterization of a novel human myoepithelial cell line and matrix-producing xenograft from a parotid basal cell adenocarcinoma. In Vitro Cellular & Developmental Biology - Animal. 32(9). 550–563. 24 indexed citations
6.
Safarians, Suzi, et al.. (1996). Human breast cancer progression can be regulated by dominant trans-acting factors in somatic cell hybridization studies.. PubMed. 56(15). 3560–9. 14 indexed citations
7.
Safarians, Suzi, et al.. (1996). Characterizations of the extracellular matrix and proteinase inhibitor content of human myoepithelial tumors.. PubMed. 74(4). 781–96. 73 indexed citations
9.
Sternlicht, Mark D., Carol J. Mirell, Suzi Safarians, & Sanford H. Barsky. (1994). A Novel Strategy for the Investigation of Clonality in Precancerous Disease States and Early Stages of Tumor Progression. Biochemical and Biophysical Research Communications. 199(2). 511–518. 13 indexed citations
10.
Wagar, Elizabeth A., Suzi Safarians, & Mabel Pang. (1992). Analysis of genomic DNA fromChlamydia trachomatisfor Dam and Dcm methylation. FEMS Microbiology Letters. 98(1-3). 161–168. 3 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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