B Saffari

16 papers receiving 681 citations

Peers

B Saffari
Comparison fields: 5 of 63
  • Obstetrics and Gynecology 64
  • Endocrinology, Diabetes and Metabolism 125
  • Biochemistry 58
  • Physiology 160
  • Cardiology and Cardiovascular Medicine 126
Replace Anne Q. Reuwer with:
Anne Q. Reuwer Netherlands
Satoru Akazawa Japan
Rana Malek United States
Yvette N. Martin United States
Mariko Hida Japan
Laura W. Bowers United States
Sophie‐Élise Michaud Canada
Vicki Levidiotis Australia
R A Hegele Canada
Anna Barbosa-Desongles Spain
B Saffari relative to Anne Q. Reuwer Netherlands Anne Q. Reuwer's profile →
Citations per field
00.5×6.4×
Anne Q. Reuwer · 1×
Citations per year

Countries citing papers authored by B Saffari

Since Specialization
Citations

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

Fields of papers citing papers by B Saffari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside B Saffari, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with B Saffari Line = papers co-authored together B Saffari links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 1990116
2
Amplification and overexpression of HER-2/neu (c-erbB2) in endometrial cancers: correlation with overall survival.
1995108
3
WAF1/Cip1 gene polymorphism and expression in carcinomas of the breast, ovary, and endometrium.
199774
4 199971
5 199269
6 199257
7 199252
8 199244
9 199039
10 200528
11 200618
12 200615
13 20076
14 20054
15 20082
16
Chemosensitivity of Hybridoma Cell Lines to Actinomycin D and Bleomycin Sulfate Compared to Non-hybridoma Cell Lines
20131

About B Saffari

B Saffari is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Oncology, Cardiology and Cardiovascular Medicine and Cancer Research, having authored 16 papers that have together received 704 indexed citations. Recurring topics across this work include Lipid metabolism and disorders (4 papers), Cancer-related Molecular Pathways (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Ovarian cancer diagnosis and treatment (2 papers), Colorectal and Anal Carcinomas (2 papers), Adipose Tissue and Metabolism (2 papers) and Endometrial and Cervical Cancer Treatments (2 papers). The work is most often cited by research in Obstetrics and Gynecology (64 citations), Endocrinology, Diabetes and Metabolism (125 citations), Biochemistry (58 citations), Physiology (160 citations) and Cardiology and Cardiovascular Medicine (126 citations). B Saffari has collaborated with scholars based in United States and Germany. Frequent co-authors include Philip A. Kern, R B Simsolo, Michael F. Press, Lovell A. Jones, John M. Ong, Juling Ong, Adel K. El‐Naggar, Janine F. Felix, Jay George and Dilip Parekh. Their work appears in journals such as International Journal of Gynecological Cancer, Journal of Lipid Research, Gynecologic Oncology, Endocrinology and Molecular 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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