E. Alsat

68 papers receiving 1.8k citations

Peers

E. Alsat
Comparison fields: 5 of 75
  • Obstetrics and Gynecology 979
  • Pediatrics, Perinatology and Child Health 798
  • Endocrinology, Diabetes and Metabolism 394
  • Immunology 317
  • Genetics 258
Replace Francisco Miralles with:
Francisco Miralles France
F. Mondon France
Michael E. Fant United States
Santanu Deb United States
Takashi Samoto Japan
R. Rebourcet France
Keiichi Kumasawa Japan
Carolyn D. Scott Australia
Norio Takamoto Japan
S J James United States
E. Alsat relative to Francisco Miralles France Francisco Miralles's profile →
Citations per field
00.5×1.5×1.8×
Francisco Miralles · 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 1993178
2 1996163
3 1998117
4 1998115
5 1997102
6 199579
7 199865
8 199464
9 199462
10 199160
11 199358
12 199051
13 199551
14 198745
15 199643
16 199243
17 198442
18 199837
19 198235
20 199835

About E. Alsat

E. Alsat is a scholar working on Obstetrics and Gynecology, Pediatrics, Perinatology and Child Health, Molecular Biology, Genetics and Endocrinology, Diabetes and Metabolism, having authored 70 papers that have together received 2.0k indexed citations. Recurring topics across this work include Pregnancy and preeclampsia studies (40 papers), Birth, Development, and Health (16 papers), Growth Hormone and Insulin-like Growth Factors (11 papers), Reproductive System and Pregnancy (10 papers), Neonatal Respiratory Health Research (7 papers), Genetic Syndromes and Imprinting (6 papers), Blood Coagulation and Thrombosis Mechanisms (6 papers) and Estrogen and related hormone effects (5 papers). The work is most often cited by research in Obstetrics and Gynecology (979 citations), Pediatrics, Perinatology and Child Health (798 citations), Endocrinology, Diabetes and Metabolism (394 citations), Immunology (317 citations) and Genetics (258 citations). E. Alsat has collaborated with scholars based in France, Belgium and Burundi. Frequent co-authors include Danièle Evain‐Brion, D. Evain‐Brion, Françis Frankenne, L. Cédard, André Malassiné, Jean Guibourdenche, Georges Hennen, V. Mirlesse, C Nessmann and Dominique Porquet. Their work appears in journals such as Placenta, Molecular and Cellular Endocrinology, American Journal of Obstetrics and Gynecology, The Journal of Clinical Endocrinology & Metabolism and Pediatric Research.

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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