E. Alsat

68 papers receiving 1.8k citations

Peers

E. Alsat
Comparison fields: 5 of 49
  • Obstetrics and Gynecology 529
  • Endocrinology, Diabetes and Metabolism 297
  • Pediatrics, Perinatology and Child Health 58
  • Immunology 87
  • Molecular Biology 151
Replace Andrea Leiva Mendoza with:
Andrea Leiva Mendoza Chile
James Lawrence United States
Chao‐Chin Hsu Taiwan
Emilyn U. Alejandro United States
André Lemay Canada
Gisela K. Clemons United States
Chin‐Der Chen Taiwan
Yuan Jiang China
邦彰 江島 Japan
Henry C. Ford New Zealand
E. Alsat relative to Andrea Leiva Mendoza Chile Andrea Leiva Mendoza's profile →
Citations per field
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Andrea Leiva Mendoza · 1×
Citations per year

Countries citing papers authored by E. Alsat

Since Specialization
Citations

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

Fields of papers citing papers by E. Alsat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993175
2 1996160
3 1998119
4 1998112
5 1997101
6 199579
7 199866
8 199463
9 199161
10 199458
11 199356
12 199555
13 199051
14 198745
15 198442
16 199242
17 199640
18 199837
19 199836
20 198235

About E. Alsat

E. Alsat is a scholar working on Obstetrics and Gynecology, Endocrinology, Diabetes and Metabolism, Surgery, Molecular Biology and Genetics, having authored 70 papers that have together received 1.9k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (22 papers), Cholesterol and Lipid Metabolism (9 papers), Growth Hormone and Insulin-like Growth Factors (9 papers), Retinoids in leukemia and cellular processes (2 papers), Estrogen and related hormone effects (2 papers), Protein Kinase Regulation and GTPase Signaling (1 paper), Connexins and lens biology (1 paper) and Genomics and Chromatin Dynamics (1 paper). The work is most often cited by research in Obstetrics and Gynecology (529 citations), Endocrinology, Diabetes and Metabolism (297 citations), Pediatrics, Perinatology and Child Health (58 citations), Immunology (87 citations) and Molecular Biology (151 citations). E. Alsat has collaborated with scholars based in France, Belgium and Norway. Frequent co-authors include Danièle Evain‐Brion, Jean Guibourdenche, Lise Cedard, Françis Frankenne, André Malassiné, Georges P. Hennen, V. Mirlesse, Dominique Porquet, C Nessmann and Kjetil Taskén. Their work appears in journals such as Placenta, Molecular and Cellular Endocrinology, Pediatric Research, The Journal of Clinical Endocrinology & Metabolism and Journal of Cellular Physiology.

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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