Ming-I Hsu

800 total citations
32 papers, 597 citations indexed

About

Ming-I Hsu is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health and Rheumatology. According to data from OpenAlex, Ming-I Hsu has authored 32 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Reproductive Medicine, 16 papers in Public Health, Environmental and Occupational Health and 5 papers in Rheumatology. Recurrent topics in Ming-I Hsu's work include Ovarian function and disorders (19 papers), Reproductive Biology and Fertility (10 papers) and Ovarian cancer diagnosis and treatment (5 papers). Ming-I Hsu is often cited by papers focused on Ovarian function and disorders (19 papers), Reproductive Biology and Fertility (10 papers) and Ovarian cancer diagnosis and treatment (5 papers). Ming-I Hsu collaborates with scholars based in Taiwan, United States and Russia. Ming-I Hsu's co-authors include Paul Kolm, Tsan‐Hon Liou, Sergio Oehninger, Chii‐Ruey Tzeng, Chun-Sen Hsu, Chun-Sen Hsu, Chia-Woei Wang, Chi‐Huang Chen, Suheil J. Muasher and Susan E. Lanzendorf and has published in prestigious journals such as Fertility and Sterility, The Journal of Steroid Biochemistry and Molecular Biology and International Journal of Cardiology.

In The Last Decade

Ming-I Hsu

32 papers receiving 577 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ming-I Hsu Taiwan 13 405 342 108 72 62 32 597
Miro Kasum Croatia 17 375 0.9× 277 0.8× 144 1.3× 47 0.7× 94 1.5× 39 582
Haruo Murakawa Japan 9 274 0.7× 316 0.9× 51 0.5× 44 0.6× 59 1.0× 16 524
Ariel Zosmer United Kingdom 13 347 0.9× 281 0.8× 169 1.6× 45 0.6× 39 0.6× 32 590
M. Salvatori Italy 13 313 0.8× 208 0.6× 61 0.6× 41 0.6× 94 1.5× 20 498
Raymond W. Ke United States 15 413 1.0× 438 1.3× 248 2.3× 119 1.7× 68 1.1× 24 776
Dinka Pavičić Baldani Croatia 16 340 0.8× 214 0.6× 63 0.6× 75 1.0× 176 2.8× 30 547
George Adonakis Greece 15 296 0.7× 146 0.4× 90 0.8× 51 0.7× 46 0.7× 43 568
Benjamin P. Christian United States 5 432 1.1× 401 1.2× 96 0.9× 81 1.1× 33 0.5× 6 537
Anastasios Makedos Greece 11 293 0.7× 157 0.5× 96 0.9× 35 0.5× 45 0.7× 17 454
S. Milingos Greece 17 502 1.2× 395 1.2× 194 1.8× 83 1.2× 65 1.0× 52 840

Countries citing papers authored by Ming-I Hsu

Since Specialization
Citations

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

Fields of papers citing papers by Ming-I Hsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ming-I Hsu. 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 Ming-I Hsu. The network helps show where Ming-I Hsu may publish in the future.

Co-authorship network of co-authors of Ming-I Hsu

This figure shows the co-authorship network connecting the top 25 collaborators of Ming-I Hsu. A scholar is included among the top collaborators of Ming-I Hsu 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 Ming-I Hsu. Ming-I Hsu 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
1.
Lee, Ching‐Tien, et al.. (2018). 1,25-Dihydroxyvitamin D3 modulates the effects of sublethal BPA on mitochondrial function via activating PI3K-Akt pathway and 17β-estradiol secretion in rat granulosa cells. The Journal of Steroid Biochemistry and Molecular Biology. 185. 200–211. 35 indexed citations
2.
Huang, Shih‐Yi, et al.. (2015). Serum ferritin levels and polycystic ovary syndrome in obese and nonobese women. Taiwanese Journal of Obstetrics and Gynecology. 54(4). 403–407. 17 indexed citations
3.
Liou, Tsan‐Hon, et al.. (2015). Obesity and inflammatory biomarkers in women with polycystic ovary syndrome. European Journal of Obstetrics & Gynecology and Reproductive Biology. 192. 66–71. 29 indexed citations
4.
Huang, Shih‐Yi, et al.. (2014). Clinical and biochemical characteristics of women with menstrual disturbance. Taiwanese Journal of Obstetrics and Gynecology. 53(2). 178–182. 5 indexed citations
5.
Tzeng, Chii‐Ruey, Yuan‐chin Ivan Chang, Yu-Chia Chang, et al.. (2014). Cluster analysis of cardiovascular and metabolic risk factors in women of reproductive age. Fertility and Sterility. 101(5). 1404–1410.e1. 33 indexed citations
6.
Lin, Yi-Hui, Shih‐Yi Huang, Ming-I Hsu, et al.. (2013). Hyperhomocysteinaemia is associated with biochemical hyperandrogenaemia in women with reproductive age. European Journal of Obstetrics & Gynecology and Reproductive Biology. 171(2). 314–318. 11 indexed citations
7.
Tzeng, Chii‐Ruey, et al.. (2013). Antiapoptotic Agent Sphingosine-1-Phosphate Protects Vitrified Murine Ovarian Grafts. Reproductive Sciences. 21(2). 236–243. 24 indexed citations
8.
Chen, Chi‐Huang, et al.. (2012). Bioluminescence imaging as a tool to evaluate germ cells in vitro and transplantation in vivo as fertility preservation of prepubertal male mice. Fertility and Sterility. 97(5). 1192–1198. 8 indexed citations
9.
Chien, Yi‐Wen, et al.. (2012). The relationship between carotid intima-media thickness and endogenous androgens in young women with polycystic ovary syndrome in Taiwan. Gynecological Endocrinology. 29(3). 238–241. 9 indexed citations
10.
11.
Chen, Chih‐Yen, et al.. (2011). Ultrasonographic quantification of the endometrium during the menstrual cycle using computer-assisted analysis. Taiwanese Journal of Obstetrics and Gynecology. 50(3). 297–300. 6 indexed citations
12.
Hsieh, Ching-Hung, Wei-Chun Chang, Ming-I Hsu, et al.. (2010). Risk Factors of Urinary Frequency Among Women Aged 60 and Older in Taiwan. Taiwanese Journal of Obstetrics and Gynecology. 49(3). 260–265. 10 indexed citations
13.
Yang, Jen‐Hung, et al.. (2010). A comparative study of cutaneous manifestations of hyperandrogenism in obese and non-obese Taiwanese women. Archives of Gynecology and Obstetrics. 282(3). 327–333. 16 indexed citations
14.
Tsai, Jen-Chen, et al.. (2010). Cardiac conductive disturbance in patients with polycystic ovary syndrome. Gynecological Endocrinology. 26(12). 883–888. 3 indexed citations
15.
Hsieh, Ching-Hung, et al.. (2009). Prevalence of Urinary Frequency Among Women Aged 60 Years and Older in Taiwan. Taiwanese Journal of Obstetrics and Gynecology. 48(4). 385–388. 3 indexed citations
16.
Hsu, Ming-I, et al.. (2008). Inappropriate gonadotropin secretion in polycystic ovary syndrome. Fertility and Sterility. 91(4). 1168–1174. 44 indexed citations
17.
Hsu, Ming-I, et al.. (2006). Very Early Stage Adenocarcinoma Arising from Adenomyosis in the Uterus. Taiwanese Journal of Obstetrics and Gynecology. 45(4). 346–349. 11 indexed citations
18.
Hsu, Ming-I, Gerardo Barroso, Jacob Mayer, et al.. (2000). Is the Timing of Implantation Affected by Zona Pellucida Micromanipulation?. Journal of Assisted Reproduction and Genetics. 17(1). 34–38. 4 indexed citations
19.
20.
Hsu, Ming-I, et al.. (1998). Analysis of Implantation in Assisted Reproduction Through the Use of Serial Human Chorionic Gonadotropin Measurements. Journal of Assisted Reproduction and Genetics. 15(8). 496–503. 7 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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