Suzi Safarians

456 citations
10 papers · 362 indexed · h-index 8
Topics
Cancer Cells and Metastasis (3 papers)Protease and Inhibitor Mechanisms (2 papers)Cell Adhesion Molecules Research (2 papers)

In The Last Decade

Suzi Safarians

10 papers receiving 356 citations

Peers

Suzi Safarians
Comparison fields: 5 of 54
  • Oncology 212
  • Molecular Biology 157
  • Cancer Research 126
  • Surgery 60
  • Immunology and Allergy 59
Replace Tetsuyo ODAJIMA with:
Tetsuyo ODAJIMA Japan
Marcilei Buim Brazil
Manuel Florentino Fresno Spain
Paul A. Kedeshian United States
Donatella Brancorsini Italy
Kirsten G. Edington United Kingdom
Andrea Treszl Hungary
Miya Yoshino Japan
Matthew B. Smolkin United States
Henry Haskell United States
Suzi Safarians relative to Tetsuyo ODAJIMA Japan Tetsuyo ODAJIMA's profile →
Citations per field
00.5×2.6×
Tetsuyo ODAJIMA · 1×
Citations per year

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
#WorkIndexed citations
1 13
2
The human myoepithelial cell is a natural tumor suppressor.
193
3
Ectopic G-CSF expression in human melanoma lines marks a trans-dominant pathway of tumor progression.
7
4 20
5 24
6
Human breast cancer progression can be regulated by dominant trans-acting factors in somatic cell hybridization studies.
14
7
Characterizations of the extracellular matrix and proteinase inhibitor content of human myoepithelial tumors.
73
8 2
9 13
10 3

About Suzi Safarians

Suzi Safarians is a scholar working on Immunology and Allergy, Oncology and Microbiology, having authored 10 papers that have together received 362 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (3 papers), Protease and Inhibitor Mechanisms (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Immunology and Allergy (59 citations), Cancer Research (126 citations) and Oncology (212 citations). Suzi Safarians has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Sanford H. Barsky, Mark D. Sternlicht, Zhi Ming Shao, Paul A. Kedeshian, Thomas C. Calcaterra, Carol J. Mirell, Susan M. Love, Joe Gray, Mai Nguyen and Koei Chin. Their work appears in journals such as Oncogene, Biochemical and Biophysical Research Communications and International Journal of Cancer.

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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