Ch. Bieglmayer

1.1k citations
45 papers · 832 · h-index 16

Impact in

Papers in

    • Estrogen and related hormone effects 8
    • Ovarian cancer diagnosis and treatment 5
    • Ovarian function and disorders 4

Ch. Bieglmayer

44 papers receiving 779 citations

Peers

Ch. Bieglmayer
Comparison fields: 5 of 92
  • Endocrinology, Diabetes and Metabolism 352
  • Reproductive Medicine 102
  • Dermatology 43
  • Epidemiology 117
  • Behavioral Neuroscience 11
Replace Jacques Mailloux with:
Jacques Mailloux Canada
R. Kaaks France
D M Large United Kingdom
G.L. Nicolis United States
S Dokoh Japan
Brian Saunders United States
Elizabeth Rabbitt United Kingdom
Mehmet Çalan Türkiye
E. Bolté Canada
Stephan Scharla Germany
Ch. Bieglmayer relative to Jacques Mailloux Canada Jacques Mailloux's profile →
Citations per field
00.5×3.9×
Jacques Mailloux · 1×
Citations per year

Countries citing papers authored by Ch. Bieglmayer

Since Specialization
Citations

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

Fields of papers citing papers by Ch. Bieglmayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997148
2 200593
3 199458
4 199952
5 200848
6 200343
7 200439
8 198726
9 197923
10 198820
11 198918
12 198817
13 200416
14 200515
15 198215
16 200615
17 200914
18 198014
19 197714
20 200713

About Ch. Bieglmayer

Ch. Bieglmayer is a scholar working on Genetics, Reproductive Medicine, Molecular Biology, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 45 papers that have together received 832 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (8 papers), Ovarian cancer diagnosis and treatment (5 papers), Neuroendocrine Tumor Research Advances (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Ovarian function and disorders (4 papers), Reproductive Biology and Fertility (4 papers) and Pituitary Gland Disorders and Treatments (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (352 citations), Reproductive Medicine (102 citations), Dermatology (43 citations), Epidemiology (117 citations) and Behavioral Neuroscience (11 citations). Ch. Bieglmayer has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include H. Vierhapper, Bruno Niederle, Klaus Kaserer, Sabina Baumgartner‐Parzer, Wolfgang Raber, J. Spona, W. Neunteufel, Ch. Kainz, Georg Heinze and W. Macheiner. Their work appears in journals such as Thyroid, Archives of Gynecology and Obstetrics, European Journal of Clinical Investigation, FEBS Letters and 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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