Margaret Au

65 total papers · 2.2k total citations
23 papers, 837 citations indexed

About

Margaret Au is a scholar working on Molecular Biology, Genetics and Reproductive Medicine. According to data from OpenAlex, Margaret Au has authored 23 papers receiving a total of 837 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 10 papers in Genetics and 8 papers in Reproductive Medicine. Recurrent topics in Margaret Au's work include Hypothalamic control of reproductive hormones (8 papers), Sexual Differentiation and Disorders (6 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers). Margaret Au is often cited by papers focused on Hypothalamic control of reproductive hormones (8 papers), Sexual Differentiation and Disorders (6 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (6 papers). Margaret Au collaborates with scholars based in United States, United Kingdom and Switzerland. Margaret Au's co-authors include William F. Crowley, Nelly Pitteloud, Stephanie B. Seminara, Lacey Plummer, Andrew Dwyer, Virginia Hughes, Gerasimos P. Sykiotis, Richard Quinton, Janet E. Hall and James F. Gusella and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Endocrine Reviews and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Margaret Au

22 papers receiving 814 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Margaret Au	478	402	348	141	85	23	837
Pierre-Marc Bouloux	485 1.0×	365 0.9×	242 0.7×	193 1.4×	61 0.7×	27	863
Corinne Fouveaut	429 0.9×	332 0.8×	298 0.9×	99 0.7×	66 0.8×	12	722
Marie-Laure Kottler	362 0.8×	456 1.1×	407 1.2×	252 1.8×	39 0.5×	22	980
Kirsi Vaaralahti	437 0.9×	332 0.8×	283 0.8×	197 1.4×	27 0.3×	35	718
Fred A. Martinson	173 0.4×	447 1.1×	447 1.3×	88 0.6×	71 0.8×	15	894
Milena Gurgel Teles	631 1.3×	500 1.2×	384 1.1×	175 1.2×	55 0.6×	34	924
Éva Szönyi	289 0.6×	416 1.0×	203 0.6×	165 1.2×	336 4.0×	16	964
Veronique Duke	299 0.6×	383 1.0×	202 0.6×	53 0.4×	23 0.3×	22	921
Buffy S. Ellsworth	136 0.3×	570 1.4×	343 1.0×	293 2.1×	24 0.3×	29	932
Tomoya Ozaki	226 0.5×	316 0.8×	116 0.3×	35 0.2×	79 0.9×	42	820

Countries citing papers authored by Margaret Au

Since Specialization

Citations

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

Fields of papers citing papers by Margaret Au

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margaret Au

This figure shows the co-authorship network connecting the top 25 collaborators of Margaret Au. A scholar is included among the top collaborators of Margaret Au 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 Margaret Au. Margaret Au is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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