S Saez

2.8k citations
80 papers · 2.3k · h-index 27

Impact in

Papers in

    • Estrogen and related hormone effects 42
    • HER2/EGFR in Cancer Research 13
    • Cancer Cells and Metastasis 4
    • Bone health and treatments 4

S Saez

78 papers receiving 2.2k citations

Peers

S Saez
Comparison fields: 5 of 110
  • Genetics 796
  • Cancer Research 414
  • Pathology and Forensic Medicine 472
  • Oncology 710
  • Endocrinology, Diabetes and Metabolism 308
Replace María Jesús Larriba with:
María Jesús Larriba Spain
Yoko Yamamoto Japan
Kuniko Horie‐Inoue Japan
Isabel Puig Spain
Victoria L. Heath United Kingdom
Masaaki Masuhara Japan
Salvatore Travali Italy
Alessandra Vacca Italy
Albert Seymour United States
Robert J.G. Haché Canada
S Saez relative to María Jesús Larriba Spain María Jesús Larriba's profile →
Citations per field
00.5×1.5×1.8×
María Jesús Larriba · 1×
Citations per year

Countries citing papers authored by S Saez

Since Specialization
Citations

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

Fields of papers citing papers by S Saez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside S Saez, 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 S Saez Line = papers co-authored together S Saez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1983256
2 1983120
3 1990117
4 1996114
5
Estradiol and progesterone receptor levels in human breast adenocarcinoma in relation to plasma estrogen and progesterone levels.
1978100
6 201099
7 198699
8 197889
9
Sex steroid and 1,25-dihydroxyvitamin D3 receptors in human colorectal adenocarcinoma and normal mucosa.
199187
10
The role of vitamin D3 in the proliferation of a human colon cancer cell line in vitro.
198786
11 198573
12 199069
13 197965
14 198357
15 198153
16 197652
17 201047
18 198146
19 199639
20 199337

About S Saez

S Saez is a scholar working on Genetics, Oncology, Molecular Biology, Pathology and Forensic Medicine and Radiology, Nuclear Medicine and Imaging, having authored 80 papers that have together received 2.3k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (42 papers), HER2/EGFR in Cancer Research (13 papers), Vitamin D Research Studies (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers), Breast Cancer Treatment Studies (7 papers), Effects and risks of endocrine disrupting chemicals (5 papers), Cancer Cells and Metastasis (4 papers) and Bone health and treatments (4 papers). The work is most often cited by research in Genetics (796 citations), Cancer Research (414 citations), Pathology and Forensic Medicine (472 citations), Oncology (710 citations) and Endocrinology, Diabetes and Metabolism (308 citations). S Saez has collaborated with scholars based in France, United States and Japan. Frequent co-authors include Laurence Danel, C. Chouvet, Pierre Martin, J. Cohen, Patrice Lointier, G Cordier, Farid Meggouh, J.P. Revillard, A. Valentin-Opran and Nicole Falette. Their work appears in journals such as Breast Cancer Research and Treatment, Recent results in cancer research, British Journal of Cancer, Cancer Letters and Steroids.

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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