Haicui Wu
Impact in
- Reproductive Medicine top 5%
- Ovarian function and disorders
- Endometriosis Research and Treatment
- Sperm and Testicular Function
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- Reproductive Biology and Fertility
Papers in
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- Ovarian function and disorders 14
- Reproductive Health and Technologies 3
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- Reproductive Biology and Fertility 13
- Co-authors
- Fang Lian (13 shared papers)Zhen‐Gao Sun (6 shared papers)Hsun‐Ming Chang (4 shared papers)Peter C. K. Leung (4 shared papers)Ying Guo (5 shared papers)Shan Xiang (7 shared papers)Lei Shi (2 shared papers)Chang Li (1 shared paper)
In The Last Decade
Haicui Wu
23 papers receiving 222 citations
Peers
Comparison fields: 5 of 49
- Reproductive Medicine 101
- Public Health, Environmental and Occupational Health 94
- Behavioral Neuroscience 8
- Complementary and alternative medicine 18
- Obstetrics and Gynecology 17
Countries citing papers authored by Haicui Wu
This map shows the geographic impact of Haicui Wu'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 Haicui Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haicui Wu more than expected).
Fields of papers citing papers by Haicui Wu
This network shows the impact of papers produced by Haicui Wu. 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 Haicui Wu. The network helps show where Haicui Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Haicui Wu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 90 | |
| 2 | 2022 | 18 | |
| 3 | 2014 | 16 | |
| 4 | 2019 | 14 | |
| 5 | 2020 | 12 | |
| 6 | 2017 | 11 | |
| 7 | 2023 | 8 | |
| 8 | 2022 | 8 | |
| 9 | 2024 | 8 | |
| 10 | 2022 | 7 | |
| 11 | 2019 | 7 | |
| 12 | 2023 | 5 | |
| 13 | 2024 | 5 | |
| 14 | 2023 | 3 | |
| 15 | 2020 | 3 | |
| 16 | 2025 | 2 | |
| 17 | 2025 | 2 | |
| 18 | 2023 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2025 | 1 |
About Haicui Wu
Haicui Wu is a scholar working on Reproductive Medicine, Public Health, Environmental and Occupational Health, Molecular Biology, Cancer Research and Pediatrics, Perinatology and Child Health, having authored 27 papers that have together received 227 indexed citations. Recurring topics across this work include Ovarian function and disorders (14 papers), Reproductive Biology and Fertility (13 papers), Cancer-related molecular mechanisms research (5 papers), Circular RNAs in diseases (3 papers), Reproductive System and Pregnancy (3 papers), Reproductive Health and Technologies (3 papers), Assisted Reproductive Technology and Twin Pregnancy (3 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Reproductive Medicine (101 citations), Public Health, Environmental and Occupational Health (94 citations), Behavioral Neuroscience (8 citations), Complementary and alternative medicine (18 citations) and Obstetrics and Gynecology (17 citations). Haicui Wu has collaborated with scholars based in China, Canada and Taiwan. Frequent co-authors include Fang Lian, Zhen‐Gao Sun, Hsun‐Ming Chang, Peter C. K. Leung, Ying Guo, Shan Xiang, Lei Shi, Chang Li, Li Dong and Xin Xin. Their work appears in journals such as BMC Pregnancy and Childbirth, Journal of Ovarian Research, Journal of Assisted Reproduction and Genetics, Chinese Journal of Integrative Medicine and Annals of Medicine.
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.