E Salgado

692 citations
19 papers · 193 · h-index 9

Impact in

Papers in

E Salgado

17 papers receiving 133 citations

Peers

E Salgado
Comparison fields: 5 of 58
  • Endocrinology, Diabetes and Metabolism 62
  • Reproductive Medicine 22
  • Anatomy 2
  • Nephrology 9
  • Biochemistry 9
Replace Masatoshi Onoda with:
Masatoshi Onoda Japan
Jean‐Claude Daubresse Belgium
Theodore G. Duncan United States
H. Lisser United States
James N. Castle United States
C. Papadatos United States
Norman H. Leake United States
Mary Collison United Kingdom
Patricia S. Otto United States
Takao Watarai Japan
E Salgado relative to Masatoshi Onoda Japan Masatoshi Onoda's profile →
Citations per field
00.5×1.5×
Masatoshi Onoda · 1×
Citations per year

Countries citing papers authored by E Salgado

Since Specialization
Citations

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

Fields of papers citing papers by E Salgado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside E Salgado, 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 Salgado Line = papers co-authored together E Salgado links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 196245
2 198426
3 195421
4 195420
5 195210
6 19548
7
Hormonal factors in the production of experimental renal and cardiovascular disease; synergism between somatotrophic hormone and methylandrostenediol.
19558
8 19528
9
Influence of hypophysectomy upon the established hypertensive disease induced by desoxycorticosterone.
19558
10 19567
11 19557
12 19597
13 19575
14
[Insulin as growth factor].
19565
15 19574
16 19533
17
Chloride and water changes after scalding in hypophysectomized and hormone treated rats.
19551
18 20080
19 19540

About E Salgado

E Salgado is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Pharmacology, Dermatology and Surgery, having authored 19 papers that have together received 193 indexed citations. Recurring topics across this work include Hormonal Regulation and Hypertension (4 papers), Hormonal and reproductive studies (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Dermatology and Skin Diseases (2 papers), Physiological and biochemical adaptations (1 paper), Estrogen and related hormone effects (1 paper), Liver Diseases and Immunity (1 paper) and Medicinal Plants and Bioactive Compounds (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (62 citations), Reproductive Medicine (22 citations), Anatomy (2 citations), Nephrology (9 citations) and Biochemistry (9 citations). E Salgado has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Hans Selye, Jerry Shevitz, F. G. Zaki, Gerald Salen, Sarah Shefer, Susan Hauser, A Robert and E. Tonutti. Their work appears in journals such as Endocrinology, American Journal of Physiology-Legacy Content, Annals of the New York Academy of Sciences, Journal of Clinical Investigation and Annals of the Rheumatic Diseases.

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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