E Mattar

520 citations
28 papers · 371 · h-index 12

Impact in

Papers in

E Mattar

27 papers receiving 325 citations

Peers

E Mattar
Comparison fields: 5 of 67
  • Endocrinology, Diabetes and Metabolism 203
  • Reproductive Medicine 49
  • Genetics 99
  • Molecular Biology 148
  • Cell Biology 29
Replace Joaquín Herrera with:
Joaquín Herrera Mexico
Barbara Vannelli Italy
Gérard Monfette Canada
Ron G. Rosenfeld United States
Devorah T. Max United States
Carlos F. Knopf Israel
Debora Giselle Braslavsky Argentina
Florence Roucher‐Boulez France
T E Romer Poland
H. Renneberg Germany
E Mattar relative to Joaquín Herrera Mexico Joaquín Herrera's profile →
Citations per field
00.5×1.5×2.2×
Joaquín Herrera · 1×
Citations per year

Countries citing papers authored by E Mattar

Since Specialization
Citations

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

Fields of papers citing papers by E Mattar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198751
2 197833
3 197833
4 197727
5 198027
6
Hormone levels following wedge resection in polycystic ovary syndrome.
197824
7 197922
8 196319
9 197918
10 197815
11 197814
12 198212
13 197311
14 197911
15 198411
16 19778
17 19648
18 19825
19 19855
20
[Precocious puberty due to hypothalamic hamartoma].
19774

About E Mattar

E Mattar is a scholar working on Endocrinology, Diabetes and Metabolism, Reproductive Medicine, Health, Toxicology and Mutagenesis, Molecular Biology and Endocrine and Autonomic Systems, having authored 28 papers that have together received 371 indexed citations. Recurring topics across this work include Thyroid Disorders and Treatments (9 papers), Sexual Differentiation and Disorders (4 papers), Hormonal and reproductive studies (4 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Metabolism, Diabetes, and Cancer (3 papers), Adrenal Hormones and Disorders (3 papers), Ovarian function and disorders (3 papers) and Hypothalamic control of reproductive hormones (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (203 citations), Reproductive Medicine (49 citations), Genetics (99 citations), Molecular Biology (148 citations) and Cell Biology (29 citations). E Mattar has collaborated with scholars based in Brazil, United States and Uruguay. Frequent co-authors include S. P. A. Toledo, Geraldo A. Medeiros-Neto, Meyer Knobel, BERNARDO LEO WAJCHENBERG, Humberto Cavaliere, Wilian Nicolau, WALTER BLOISE, V. Mahesh, Ivo J.P. Arnhold and Marcelo Cidade Batista. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Clinical Endocrinology, Hormone and Metabolic Research, European Journal of Endocrinology and Clinica Chimica Acta.

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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