Ming‐I Hsu
- Reproductive Medicine top 2%
- Public Health, Environmental and Occupational Health top 10%
- Endocrinology, Diabetes and Metabolism
- Molecular Biology
- Cardiology and Cardiovascular Medicine
- Co-authors
- Chun-Sen HsuChii‐Ruey TzengWan‐Chun ChiuChien-Hua WuTsan‐Hon LiouYi-Hui LinChing-Yin LeeChing‐Hung Hsieh
- Topics
- Ovarian function and disorders (9 papers)Reproductive Biology and Fertility (3 papers)Pregnancy and preeclampsia studies (2 papers)
- Cited by
- Reproductive MedicinePublic Health, Environmental and Occupational HealthEndocrinology, Diabetes and Metabolism
- Journals
- SHILAP Revista de lepidopterologíaFertility and SterilitySteroids
In The Last Decade
Ming‐I Hsu
12 papers receiving 338 citations
Peers
Comparison fields: 5 of 65
- Reproductive Medicine 290
- Public Health, Environmental and Occupational Health 195
- Endocrinology, Diabetes and Metabolism 69
- Molecular Biology 28
- Cardiology and Cardiovascular Medicine 24
Countries citing papers authored by Ming‐I Hsu
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 12 | |
| 3 | 35 | |
| 4 | Endothelial Progenitor Cell Dysfunction in Polycystic Ovary Syndrome: Implications for The Genesis of Cardiovascular Diseases | 4 |
| 5 | 68 | |
| 6 | Endothelial progenitor cell dysfunction in polycystic ovary syndrome: implications for the genesis of cardiovascular diseases. | 11 |
| 7 | 19 | |
| 8 | 96 | |
| 9 | 11 | |
| 10 | 2 | |
| 11 | 79 | |
| 12 | 12 |
About Ming‐I Hsu
Ming‐I Hsu is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Endocrine and Autonomic Systems, having authored 12 papers that have together received 354 indexed citations. Recurring topics across this work include Ovarian function and disorders (9 papers), Reproductive Biology and Fertility (3 papers) and Pregnancy and preeclampsia studies (2 papers). The work is most often cited by research in Reproductive Medicine (290 citations), Public Health, Environmental and Occupational Health (195 citations) and Endocrinology, Diabetes and Metabolism (69 citations). Ming‐I Hsu has collaborated with scholars based in Taiwan and Indonesia. Frequent co-authors include Chun-Sen Hsu, Chii‐Ruey Tzeng, Wan‐Chun Chiu, Chien-Hua Wu, Tsan‐Hon Liou, Yi-Hui Lin, Ching-Yin Lee, Ching‐Hung Hsieh, Shyh‐Hsiang Lin and Chin-I Chen. Their work appears in journals such as SHILAP Revista de lepidopterología, Fertility and Sterility and Steroids.
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.