Ruey-Sheng Wang

828 total citations
8 papers, 643 citations indexed

About

Ruey-Sheng Wang is a scholar working on Public Health, Environmental and Occupational Health, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Ruey-Sheng Wang has authored 8 papers receiving a total of 643 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Public Health, Environmental and Occupational Health, 3 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Genetics. Recurrent topics in Ruey-Sheng Wang's work include Reproductive Biology and Fertility (4 papers), Hormonal and reproductive studies (2 papers) and Ovarian function and disorders (2 papers). Ruey-Sheng Wang is often cited by papers focused on Reproductive Biology and Fertility (4 papers), Hormonal and reproductive studies (2 papers) and Ovarian function and disorders (2 papers). Ruey-Sheng Wang collaborates with scholars based in Taiwan, United States and China. Ruey-Sheng Wang's co-authors include Chawnshang Chang, Shuyuan Yeh, Qingquan Xu, Peng‐Hui Wang, Chao Xie, Meng‐Yin Tsai, Yueh‐Chiang Hu, Janet D. Sparks, Hung‐Yun Lin and Xinchang Zhou and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and SHILAP Revista de lepidopterología.

In The Last Decade

Ruey-Sheng Wang

6 papers receiving 636 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ruey-Sheng Wang Taiwan	5	203	201	199	181	160	8	643
Rüdiger Schultz Finland	14	203 1.0×	294 1.5×	103 0.5×	103 0.6×	88 0.6×	22	777
Jas Singh Canada	6	290 1.4×	181 0.9×	174 0.9×	130 0.7×	125 0.8×	14	536
Mitsumori Kawaminami Japan	15	182 0.9×	315 1.6×	134 0.7×	73 0.4×	115 0.7×	68	692
Jonathan T. Busada United States	13	293 1.4×	287 1.4×	181 0.9×	42 0.2×	253 1.6×	20	684
Graham W. Aberdeen United States	17	200 1.0×	271 1.3×	145 0.7×	60 0.3×	202 1.3×	39	890
Angélica Morales Mexico	15	77 0.4×	221 1.1×	84 0.4×	115 0.6×	79 0.5×	25	756
Marina Rodríguez Spain	12	130 0.6×	211 1.0×	87 0.4×	102 0.6×	46 0.3×	24	482
Anita Kumar India	15	223 1.1×	365 1.8×	159 0.8×	62 0.3×	131 0.8×	28	900
Qunsheng Dai United States	14	227 1.1×	329 1.6×	187 0.9×	62 0.3×	155 1.0×	17	667
Guido Verhoeven Belgium	7	477 2.3×	439 2.2×	311 1.6×	227 1.3×	193 1.2×	8	1.0k

Countries citing papers authored by Ruey-Sheng Wang

Since Specialization

Citations

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

Fields of papers citing papers by Ruey-Sheng Wang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ruey-Sheng Wang. 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 Ruey-Sheng Wang. The network helps show where Ruey-Sheng Wang may publish in the future.

Co-authorship network of co-authors of Ruey-Sheng Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ruey-Sheng Wang. A scholar is included among the top collaborators of Ruey-Sheng Wang 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 Ruey-Sheng Wang. Ruey-Sheng Wang 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

Wang, Ruey-Sheng, et al.. (2024). Beyond black-box models: explainable AI for embryo ploidy prediction and patient-centric consultation. Journal of Assisted Reproduction and Genetics. 41(9). 2349–2358. 1 indexed citations

Wang, Ruey-Sheng, et al.. (2023). MACHINE LEARNING APPROACH WITH RANDOM FOREST AND SYNTHETIC MINORITY OVER-SAMPLING TECHNIQUE MAY BE OPTIMAL IN NON-INVASIVE EUPLOIDY DETECTION: A PRELIMINARY STUDY. Fertility and Sterility. 120(4). e107–e107.

Wang, Ruey-Sheng, et al.. (2023). #202 : Adverse Effect on Pregnancy Outcome of Oocyte Preservation in Women with Advanced Maternal Age. SHILAP Revista de lepidopterología. 5(4). 730–731.

Chang, Chawnshang, Soo Ok Lee, Ruey-Sheng Wang, Shuyuan Yeh, & Ta‐Min Chang. (2013). Androgen Receptor (AR) Physiological Roles in Male and Female Reproductive Systems: Lessons Learned from AR-Knockout Mice Lacking AR in Selective Cells1. Biology of Reproduction. 89(1). 21–21. 109 indexed citations

Lee, Yi‐Fen, Su Liu, Ning-Chun Liu, et al.. (2011). Premature aging with impaired oxidative stress defense in mice lacking TR4. American Journal of Physiology-Endocrinology and Metabolism. 301(1). E91–E98. 32 indexed citations

Lin, Hung‐Yun, Qingquan Xu, Shuyuan Yeh, et al.. (2005). Insulin and Leptin Resistance With Hyperleptinemia in Mice Lacking Androgen Receptor. Diabetes. 54(6). 1717–1725. 148 indexed citations

Hu, Yueh‐Chiang, Peng‐Hui Wang, Shuyuan Yeh, et al.. (2004). Subfertility and defective folliculogenesis in female mice lacking androgen receptor. Proceedings of the National Academy of Sciences. 101(31). 11209–11214. 237 indexed citations

Yeh, Shuyuan, Yueh‐Chiang Hu, Peng‐Hui Wang, et al.. (2003). Abnormal Mammary Gland Development and Growth Retardation in Female Mice and MCF7 Breast Cancer Cells Lacking Androgen Receptor. The Journal of Experimental Medicine. 198(12). 1899–1908. 116 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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