A. Schirar

1.0k citations
26 papers · 823 · h-index 18

Impact in

Papers in

A. Schirar

26 papers receiving 756 citations

Peers

A. Schirar
Comparison fields: 5 of 95
  • Endocrinology, Diabetes and Metabolism 236
  • Endocrine and Autonomic Systems 89
  • Agronomy and Crop Science 137
  • Reproductive Medicine 94
  • Behavioral Neuroscience 31
Replace M Łakomy with:
M Łakomy Poland
Jerzy Kaleczyc Poland
G. L. Rossi Switzerland
Luis I. Aguado Argentina
W. Sienkiewicz Poland
P.A. Steele Australia
SAID M. SEIF United States
Irvin E. Lawrence United States
S. E. F. Guldenaar United Kingdom
J. S. Tindal United States
A. Schirar relative to M Łakomy Poland M Łakomy's profile →
Citations per field
00.5×3.7×
M Łakomy · 1×
Citations per year

Countries citing papers authored by A. Schirar

Since Specialization
Citations

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

Fields of papers citing papers by A. Schirar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198181
2 199773
3 200363
4 198062
5 199358
6 199750
7 200045
8 199541
9
Angiotensin II receptors. Properties and regulation in adrenal glomerulosa cells.
198037
10 199035
11 198933
12 198528
13 199428
14 199826
15 197523
16 198821
17 198520
18 197617
19 200217
20
Angiotensin II receptors and aldosterone secretion.
197917

About A. Schirar

A. Schirar is a scholar working on Endocrinology, Diabetes and Metabolism, Agronomy and Crop Science, Genetics, Psychiatry and Mental health and Reproductive Medicine, having authored 26 papers that have together received 823 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (7 papers), Hormonal and reproductive studies (5 papers), Sexual function and dysfunction studies (5 papers), Genetic and phenotypic traits in livestock (4 papers), Urinary Bladder and Prostate Research (3 papers), Reproductive System and Pregnancy (3 papers), Hypothalamic control of reproductive hormones (3 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (236 citations), Endocrine and Autonomic Systems (89 citations), Agronomy and Crop Science (137 citations), Reproductive Medicine (94 citations) and Behavioral Neuroscience (31 citations). A. Schirar has collaborated with scholars based in France, Morocco and United States. Frequent co-authors include Kevin Catt, G. Aguilera, Ève Devinoy, Albert J. Baukal, Alessandro M. Capponi, J. Martinet, Jean-Paul Rousseau, Jolanta Rousseau, Chawnshang Chang and Frédéric Morvan. Their work appears in journals such as Reproduction, Endocrinology, Cell and Tissue Research, Neuroscience and Animal Reproduction Science.

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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