Angela K. Chua

521 total citations
8 papers, 389 citations indexed

About

Angela K. Chua is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, Angela K. Chua has authored 8 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Reproductive Medicine, 6 papers in Public Health, Environmental and Occupational Health and 4 papers in Genetics. Recurrent topics in Angela K. Chua's work include Ovarian function and disorders (8 papers), Reproductive Biology and Fertility (6 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers). Angela K. Chua is often cited by papers focused on Ovarian function and disorders (8 papers), Reproductive Biology and Fertility (6 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers). Angela K. Chua collaborates with scholars based in United States and Poland. Angela K. Chua's co-authors include Mark O. Goodarzi, Ricardo Azziz, Michelle R. Jones, Richard S. Legro, Wendy Ankener, Andrea Dunaif, Jerome F. Strauss, Margrit Urbanek, Ronald M. Krauss and Yii-Der I. Chen and has published in prestigious journals such as PLoS ONE, The Journal of Clinical Endocrinology & Metabolism and Fertility and Sterility.

In The Last Decade

Angela K. Chua

8 papers receiving 383 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Angela K. Chua United States	8	305	241	88	62	48	8	389
Steve Franks United Kingdom	10	354 1.2×	254 1.1×	50 0.6×	60 1.0×	95 2.0×	13	474
S. Sadrzadeh Netherlands	5	477 1.6×	365 1.5×	72 0.8×	88 1.4×	80 1.7×	6	569
Sheena L.P. Regan Australia	11	235 0.8×	318 1.3×	61 0.7×	133 2.1×	53 1.1×	13	469
Arnaud Leclerc France	5	281 0.9×	269 1.1×	61 0.7×	68 1.1×	30 0.6×	5	383
Deepika Garg United States	9	237 0.8×	178 0.7×	57 0.6×	42 0.7×	52 1.1×	18	394
Ali Aflatounian Australia	8	194 0.6×	134 0.6×	26 0.3×	65 1.0×	42 0.9×	14	307
Ryan Sisk United States	9	339 1.1×	252 1.0×	77 0.9×	66 1.1×	76 1.6×	16	411
Muhammad Fatum United Kingdom	13	346 1.1×	328 1.4×	35 0.4×	85 1.4×	44 0.9×	24	522
S Stubbs United Kingdom	6	678 2.2×	649 2.7×	57 0.6×	119 1.9×	84 1.8×	11	799
Seija Korhonen Finland	9	241 0.8×	145 0.6×	31 0.4×	84 1.4×	107 2.2×	10	332

Countries citing papers authored by Angela K. Chua

Since Specialization

Citations

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

Fields of papers citing papers by Angela K. Chua

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Angela K. Chua. 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 Angela K. Chua. The network helps show where Angela K. Chua may publish in the future.

Co-authorship network of co-authors of Angela K. Chua

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

All Works

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8 of 8 papers shown

Xu, Ning, Angela K. Chua, Hong Jiang, Ning‐Ai Liu, & Mark O. Goodarzi. (2014). Early Embryonic Androgen Exposure Induces Transgenerational Epigenetic and Metabolic Changes. Molecular Endocrinology. 28(8). 1329–1336. 56 indexed citations

Chua, Angela K., Ricardo Azziz, & Mark O. Goodarzi. (2012). Association study of CYP17 and HSD11B1 in polycystic ovary syndrome utilizing comprehensive gene coverage. Molecular Human Reproduction. 18(6). 320–324. 29 indexed citations

Jones, Michelle R., Gregorio D. Chazenbalk, Ning Xu, et al.. (2012). Steroidogenic Regulatory FactorFOSIs Underexpressed in Polycystic Ovary Syndrome (PCOS) Adipose Tissue and Genetically Associated with PCOS Susceptibility. The Journal of Clinical Endocrinology & Metabolism. 97(9). E1750–E1757. 23 indexed citations

Jones, Michelle R., Angela K. Chua, Yii-Der I. Chen, et al.. (2011). Harnessing Expression Data to Identify Novel Candidate Genes in Polycystic Ovary Syndrome. PLoS ONE. 6(5). e20120–e20120. 14 indexed citations

Ewens, Kathryn G., Michelle R. Jones, Wendy Ankener, et al.. (2011). FTO and MC4R Gene Variants Are Associated with Obesity in Polycystic Ovary Syndrome. PLoS ONE. 6(1). e16390–e16390. 84 indexed citations

Ewens, Kathryn G., Michelle R. Jones, Wendy Ankener, et al.. (2011). Type 2 diabetes susceptibility single-nucleotide polymorphisms are not associated with polycystic ovary syndrome. Fertility and Sterility. 95(8). 2538–2541.e6. 28 indexed citations

Jones, Michelle R., Angela K. Chua, Emebet Mengesha, et al.. (2011). Metabolic and cardiovascular genes in polycystic ovary syndrome: A candidate-wide association study (CWAS). Steroids. 77(4). 317–322. 21 indexed citations

Goodarzi, Mark O., Michelle R. Jones, Xiaohui Li, et al.. (2011). Replication of association of DENND1A and THADA variants with polycystic ovary syndrome in European cohorts. Journal of Medical Genetics. 49(2). 90–95. 134 indexed citations

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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