Constance Chiappetta

22 papers receiving 1.1k citations

Peers

Constance Chiappetta
Comparison fields: 5 of 76
  • Genetics 557
  • Reproductive Medicine 158
  • Obstetrics and Gynecology 96
  • Immunology 218
  • Cancer Research 132
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Nancy L. Bossert United States
M. Perrot-Applanat France
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Citations per field
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Citations per year

Countries citing papers authored by Constance Chiappetta

Since Specialization
Citations

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

Fields of papers citing papers by Constance Chiappetta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Identification of functional estrogen response elements in the gene coding for the potent angiogenic factor vascular endothelial growth factor.
2000241
2 1988192
3
Uterine expression of vascular endothelial growth factor is increased by estradiol and tamoxifen.
1996156
4 199588
5 199985
6 200174
7
Selective inhibition of estrogen-regulated gene expression in vivo by the pure antiestrogen ICI 182,780.
199771
8 199256
9 200549
10 200625
11 199721
12 199220
13 200516
14 199910
15 19989
16 19958
17 20007
18 19987
19 20066
20 19892

About Constance Chiappetta

Constance Chiappetta is a scholar working on Genetics, Immunology, Molecular Biology, Endocrinology, Diabetes and Metabolism and Obstetrics and Gynecology, having authored 22 papers that have together received 1.1k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (14 papers), Angiogenesis and VEGF in Cancer (5 papers), Respiratory viral infections research (4 papers), Reproductive System and Pregnancy (4 papers), Cytokine Signaling Pathways and Interactions (2 papers), Endometriosis Research and Treatment (2 papers), Retinoids in leukemia and cellular processes (2 papers) and Growth Hormone and Insulin-like Growth Factors (2 papers). The work is most often cited by research in Genetics (557 citations), Reproductive Medicine (158 citations), Obstetrics and Gynecology (96 citations), Immunology (218 citations) and Cancer Research (132 citations). Constance Chiappetta has collaborated with scholars based in United States, Japan and Australia. Frequent co-authors include George M. Stancel, Salman M. Hyder, Zafar Nawaz, David S. Loose‐Mitchell, Lata J. Murthy, Holly L. Boettger‐Tong, Sari Mäkelä, Giuseppe N. Colasurdo, John L. Kirkland and Joseph L. Alcorn. Their work appears in journals such as Cancer Letters, Environmental Health Perspectives, Molecular Endocrinology, Journal of Pharmacology and Experimental Therapeutics and Carcinogenesis.

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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