S M Shafie

2.0k citations
6 papers · 1.7k indexed · 1 hit paper · h-index 5
Topics
Estrogen and related hormone effects (2 papers)Cancer Genomics and Diagnostics (1 paper)Metabolism, Diabetes, and Cancer (1 paper)

In The Last Decade

S M Shafie

5 papers receiving 1.5k citations

Hit Papers

Metastatic potential correlates with enzymatic degradatio...198020261995201019804008001.2k

Peers

S M Shafie
Comparison fields: 5 of 97
  • Cancer Research 838
  • Oncology 772
  • Molecular Biology 644
  • Immunology and Allergy 374
  • Genetics 173
Replace C. M. Foltz with:
C. M. Foltz United States
Angela Garofalo Italy
Junya Yoneda Japan
R. Daniel Bonfil United States
Ulrike Benbow United States
Teresa Maguire Ireland
M Seiki Japan
Emilia Fransvea Italy
Koh‐ichi Nakashiro Japan
Kirsi Ropponen Finland
S M Shafie relative to C. M. Foltz United States C. M. Foltz's profile →
Citations per field
00.5×1.5×2.1×
C. M. Foltz · 1×
Citations per year

Countries citing papers authored by S M Shafie

Since Specialization
Citations

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

Fields of papers citing papers by S M Shafie

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S M Shafie. 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 S M Shafie. The network helps show where S M Shafie may publish in the future.

Co-authorship network of co-authors of S M Shafie

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

All Works

6 of 6 papers shown
#WorkIndexed citations
1
Effect of growth on the estrogen receptor levels in MCF-7 cells.
13
2 1
3 142
4
Metastatic potential correlates with enzymatic degradation of basement membrane collagenbreakdown →
1462
5
Effect of pH and buffers on insulin binding to normal and neoplastic mammary cells, fat cells and membrane preparations.
5
6
Characteristics of the dextran-coated charcoal assay for estradiol receptor in breast cancer preparations.
32

About S M Shafie

S M Shafie is a scholar working on Immunology and Allergy, Health, Toxicology and Mutagenesis and Genetics, having authored 6 papers that have together received 1.7k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (2 papers), Cancer Genomics and Diagnostics (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Immunology and Allergy (374 citations), Cancer Research (838 citations) and Oncology (772 citations). S M Shafie has collaborated with scholars based in United States, United Kingdom and India. Frequent co-authors include Spiridione Garbisa, Ian R. Hart, Lance A. Liotta, C. M. Foltz, Karl Tryggvason, Flora H. Grantham, S.C. Brooks, Dwight E. Saunders, Maria Giulia Battelli and James N. Livingston. Their work appears in journals such as Nature, JNCI Journal of the National Cancer Institute and European Journal of Endocrinology.

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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