Ya Ni
Impact in
- Reproductive Medicine top 1%
- Sperm and Testicular Function
- Ovarian function and disorders
- Physiology top 5%
Papers in
-
- Sperm and Testicular Function 24
- Ovarian function and disorders 7
-
- Heat shock proteins research 4
- Co-authors
- Jianmin Yu (9 shared papers)Zhongxiang Li (3 shared papers)Zhanghui Chen (3 shared papers)Kun Li (18 shared papers)Ian R. Tizard (1 shared paper)Qi Shi (5 shared papers)Wenming Xu (4 shared papers)Yu Yuan (3 shared papers)
- Journals
- Human Reproduction (3 papers)Reproductive Biology and Endocrinology (2 papers)Biology of Reproduction (2 papers)Andrologia (2 papers)AIDS Research and Human Retroviruses (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ya Ni
43 papers receiving 987 citations
Peers
Comparison fields: 5 of 89
- Reproductive Medicine 475
- Physiology 54
- Public Health, Environmental and Occupational Health 335
- Pulmonary and Respiratory Medicine 215
- Genetics 158
Countries citing papers authored by Ya Ni
This map shows the geographic impact of Ya Ni'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 Ya Ni with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya Ni more than expected).
Fields of papers citing papers by Ya Ni
This network shows the impact of papers produced by Ya Ni. 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 Ya Ni. The network helps show where Ya Ni may publish in the future.
Co-authors
The 25 scholars most cited alongside Ya Ni, 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 168 | |
| 2 | 2011 | 136 | |
| 3 | 2008 | 70 | |
| 4 | 2009 | 67 | |
| 5 | 2006 | 62 | |
| 6 | 1996 | 61 | |
| 7 | 2014 | 54 | |
| 8 | 2013 | 40 | |
| 9 | 2021 | 39 | |
| 10 | 2009 | 24 | |
| 11 | 2005 | 24 | |
| 12 | 2009 | 20 | |
| 13 | 2020 | 19 | |
| 14 | 1992 | 19 | |
| 15 | 2005 | 17 | |
| 16 | 2018 | 16 | |
| 17 | 2012 | 15 | |
| 18 | 2013 | 15 | |
| 19 | 2019 | 15 | |
| 20 | 2011 | 15 |
About Ya Ni
Ya Ni is a scholar working on Reproductive Medicine, Molecular Biology, Public Health, Environmental and Occupational Health, Pulmonary and Respiratory Medicine and Pediatrics, Perinatology and Child Health, having authored 45 papers that have together received 1.0k indexed citations. Recurring topics across this work include Sperm and Testicular Function (24 papers), Reproductive Biology and Fertility (15 papers), Ovarian function and disorders (7 papers), Cystic Fibrosis Research Advances (7 papers), Heat shock proteins research (4 papers), Assisted Reproductive Technology and Twin Pregnancy (4 papers), Neonatal Respiratory Health Research (3 papers) and Healthcare and Venom Research (2 papers). The work is most often cited by research in Reproductive Medicine (475 citations), Physiology (54 citations), Public Health, Environmental and Occupational Health (335 citations), Pulmonary and Respiratory Medicine (215 citations) and Genetics (158 citations). Ya Ni has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Jianmin Yu, Zhongxiang Li, Zhanghui Chen, Kun Li, Ian R. Tizard, Qi Shi, Wenming Xu, Yu Yuan, Wen Ying Chen and Qi‐Xian Shi. Their work appears in journals such as Human Reproduction, Reproductive Biology and Endocrinology, Biology of Reproduction, Andrologia and AIDS Research and Human Retroviruses.
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.