Ya Ni
Impact in
- Reproductive Medicine top 1%
- Sperm and Testicular Function
- Ovarian function and disorders
- Physiology top 5%
- Reproductive biology and impacts on aquatic species
Papers in
-
- Sperm and Testicular Function 21
- Ovarian function and disorders 3
-
- Heat shock proteins research 4
- Co-authors
- Jianmin Yu (9 shared papers)Zhongxiang Li (3 shared papers)Zhanghui Chen (3 shared papers)Kun Li (19 shared papers)Ian R. Tizard (1 shared paper)Qi Shi (5 shared papers)Hsiao Chang Chan (5 shared papers)Wenming Xu (4 shared papers)
- Journals
- Human Reproduction (3 papers)Andrologia (2 papers)Journal of Andrology (2 papers)Reproductive Biology and Endocrinology (2 papers)Advances in experimental medicine and biology (2 papers)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Ya Ni
45 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 95
- Reproductive Medicine 458
- Physiology 57
- Public Health, Environmental and Occupational Health 319
- Pulmonary and Respiratory Medicine 226
- Genetics 163
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 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 180 | |
| 2 | 2011 | 158 | |
| 3 | 2008 | 75 | |
| 4 | 2009 | 70 | |
| 5 | 2006 | 66 | |
| 6 | 1996 | 64 | |
| 7 | 2014 | 57 | |
| 8 | 1992 | 42 | |
| 9 | 2013 | 41 | |
| 10 | 2021 | 40 | |
| 11 | 2009 | 24 | |
| 12 | 2005 | 24 | |
| 13 | 2009 | 23 | |
| 14 | 2020 | 22 | |
| 15 | 2005 | 17 | |
| 16 | 2019 | 17 | |
| 17 | 2018 | 17 | |
| 18 | 2023 | 17 | |
| 19 | 2012 | 16 | |
| 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 Epidemiology, having authored 47 papers that have together received 1.1k indexed citations. Recurring topics across this work include Sperm and Testicular Function (21 papers), Reproductive Biology and Fertility (10 papers), Cystic Fibrosis Research Advances (8 papers), Heat shock proteins research (4 papers), Ovarian function and disorders (3 papers), Biomedical Research and Pathophysiology (2 papers), Hepatitis B Virus Studies (2 papers) and Neuroscience and Neuropharmacology Research (2 papers). The work is most often cited by research in Reproductive Medicine (458 citations), Physiology (57 citations), Public Health, Environmental and Occupational Health (319 citations), Pulmonary and Respiratory Medicine (226 citations) and Genetics (163 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, Hsiao Chang Chan, Wenming Xu, Yu Yuan and Wen Ying Chen. Their work appears in journals such as Human Reproduction, Andrologia, Journal of Andrology, Reproductive Biology and Endocrinology and Advances in experimental medicine and biology.
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.