S. Beier

1.1k citations
30 papers · 986 · h-index 14

Impact in

Papers in

S. Beier

28 papers receiving 861 citations

Peers

S. Beier
Comparison fields: 5 of 87
  • Reproductive Medicine 241
  • Endocrinology, Diabetes and Metabolism 263
  • Genetics 327
  • Public Health, Environmental and Occupational Health 225
  • Behavioral Neuroscience 29
Replace K.R. Laumas with:
K.R. Laumas India
Leonard J. Lerner Malaysia
H. Philip Schane United States
G. O. Potts United States
Ronald C. Strickler United States
Damodar K. Mahajan United States
Hilton A. Salhanick United States
Fernand Labrie Canada
E. Ferguson United States
L. Bokser United States
S. Beier relative to K.R. Laumas India K.R. Laumas's profile →
Citations per field
00.5×6.5×
K.R. Laumas · 1×
Citations per year

Countries citing papers authored by S. Beier

Since Specialization
Citations

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

Fields of papers citing papers by S. Beier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984161
2 2003116
3 1995109
4 1978101
5 198689
6 199188
7 198756
8 198939
9 198937
10
Antihypertensive effect of oral nitrite uptake in the spontaneously hypertensive rat.
199536
11 198420
12 199118
13 199417
14 199414
15 200013
16 197912
17 197911
18 19869
19 19927
20 19867

About S. Beier

S. Beier is a scholar working on Genetics, Endocrinology, Diabetes and Metabolism, Organic Chemistry, Molecular Biology and Reproductive Medicine, having authored 30 papers that have together received 986 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (18 papers), Hormonal Regulation and Hypertension (6 papers), Hormonal and reproductive studies (5 papers), Bioactive Compounds and Antitumor Agents (4 papers), Steroid Chemistry and Biochemistry (4 papers), Reproductive Physiology in Livestock (4 papers), Neuroendocrine regulation and behavior (3 papers) and Organic Chemistry Cycloaddition Reactions (3 papers). The work is most often cited by research in Reproductive Medicine (241 citations), Endocrinology, Diabetes and Metabolism (263 citations), Genetics (327 citations), Public Health, Environmental and Occupational Health (225 citations) and Behavioral Neuroscience (29 citations). S. Beier has collaborated with scholars based in Germany, Ireland and United States. Frequent co-authors include W. Elger, David Henderson, Günter Neef, Robert E. Garfield, Rudolf Wiechert, E. Schillinger, K. Pollow, Rolf Krattenmacher, Peter Muhn and Alexander Hillisch. Their work appears in journals such as Contraception, Steroids, European Journal of Endocrinology, American Journal of Obstetrics and Gynecology and The Journal of Clinical Endocrinology & Metabolism.

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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