Song Quan
- Reproductive Medicine top 1%
- Ovarian function and disorders 23
- Endometriosis Research and Treatment 22
- Sperm and Testicular Function 14
- Obstetrics and Gynecology top 2%
- Pregnancy and preeclampsia studies 9
- Immunology top 10%
- Reproductive System and Pregnancy 27
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- Assisted Reproductive Technology and Twin Pregnancy 13
- Prenatal Screening and Diagnostics 9
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- Reproductive Biology and Fertility 35
- Journals
- Fertility and Sterility (5 papers)Scientific Reports (3 papers)Journal of Assisted Reproduction and Genetics (3 papers)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Song Quan
97 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 106
- Reproductive Medicine 520
- Obstetrics and Gynecology 244
- Immunology 324
- Pediatrics, Perinatology and Child Health 296
- Public Health, Environmental and Occupational Health 428
Countries citing papers authored by Song Quan
This map shows the geographic impact of Song Quan'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 Song Quan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Song Quan more than expected).
Fields of papers citing papers by Song Quan
This network shows the impact of papers produced by Song Quan. 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 Song Quan. The network helps show where Song Quan may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Song Quan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 4 | |
| 4 | 2023 | 0 | |
| 5 | 2022 | 7 | |
| 6 | 2021 | 29 | |
| 7 | 2020 | 17 | |
| 8 | 2019 | 27 | |
| 9 | 2017 | 13 | |
| 10 | 2017 | 28 | |
| 11 | 2017 | 6 | |
| 12 | 2015 | 33 | |
| 13 | 2015 | 35 | |
| 14 | 2014 | 39 | |
| 15 | 2013 | 13 | |
| 16 | 2013 | 14 | |
| 17 | 2012 | 15 | |
| 18 | 2011 | 42 | |
| 19 | 2010 | 11 | |
| 20 | Clinical effectiveness of Colla Corii Asini on improving uterine receptivity in controlled ovarian stimulation. | 2009 | 4 |
About Song Quan
Song Quan is a scholar working on Reproductive Medicine, Obstetrics and Gynecology and Public Health, Environmental and Occupational Health, having authored 105 papers that have together received 1.4k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (35 papers), Reproductive System and Pregnancy (27 papers), Ovarian function and disorders (23 papers), Endometriosis Research and Treatment (22 papers), Sperm and Testicular Function (14 papers), Assisted Reproductive Technology and Twin Pregnancy (13 papers), Pregnancy and preeclampsia studies (9 papers) and Prenatal Screening and Diagnostics (9 papers). The work is most often cited by research in Reproductive Medicine (520 citations), Obstetrics and Gynecology (244 citations) and Immunology (324 citations). Song Quan has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Rui Hua, Shiyou Wei, Yao Zhou, Miaoling Lin, Zhiqiang Yu, Pei Li, Jing Ma, Xiang‐Hong Ou, Fu-qi Xing and Hong Zeng. Their work appears in journals such as Fertility and Sterility, Scientific Reports, Journal of Assisted Reproduction and Genetics, Prenatal Diagnosis and Reproductive Sciences.
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.