Margrit Urbanek

72 papers receiving 4.4k citations

Hit Papers

Distinct subtypes of polycystic ovary syndrome with novel...2020202620222024202050100150

Peers

Margrit Urbanek
Comparison fields: 5 of 133
  • Reproductive Medicine 2.1k
  • Public Health, Environmental and Occupational Health 1.7k
  • Genetics 1.2k
  • Molecular Biology 1.1k
  • Endocrinology, Diabetes and Metabolism 685
Replace David M. de Kretser with:
David M. de Kretser Australia
Zhenmin Lei United States
Masataka Kudo Japan
Anthony J. Zeleznik United States
Philippe Touraine France
R. Ann Word United States
David de Kretser Australia
W. Colin Duncan United Kingdom
Thomas E. Curry United States
Aleksandar Rajkovic United States
Margrit Urbanek relative to David M. de Kretser Australia David M. de Kretser's profile →
Citations per field
00.5×1.5×2.5×
David M. de Kretser · 1×
Citations per year

Countries citing papers authored by Margrit Urbanek

Since Specialization
Citations

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

Fields of papers citing papers by Margrit Urbanek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margrit Urbanek

This figure shows the co-authorship network connecting the top 25 collaborators of Margrit Urbanek. A scholar is included among the top collaborators of Margrit Urbanek based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Margrit Urbanek. Margrit Urbanek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2
Distinct subtypes of polycystic ovary syndrome with novel genetic associations: An unsupervised, phenotypic clustering analysisbreakdown →
174
3 51
4 53
5
Candidate pathway genetic analysis of PCOS
1
6 14
7 60
8 19
9 18
10 134
11 84
12 4
13 78
14 139
15 28
16 21
17 65
18 305
19 46
20 75

About Margrit Urbanek

Margrit Urbanek is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Public Health, Environmental and Occupational Health, having authored 72 papers that have together received 4.6k indexed citations. Recurring topics across this work include Ovarian function and disorders (32 papers), Reproductive Biology and Fertility (22 papers) and Birth, Development, and Health (9 papers). The work is most often cited by research in Reproductive Medicine (2.1k citations), Public Health, Environmental and Occupational Health (1.7k citations) and Genetics (1.2k citations). Margrit Urbanek has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Richard S. Legro, Andrea Dunaif, Jeffrey C. Long, Richard S. Spielman, David Goldman, Jerome F. Strauss, M. Geoffrey Hayes, Nancy E. Cooke, Gülüm Kosova and Jeffrey C. Long. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

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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