X. Yang
Impact in
- Reproductive Medicine top 1%
- Sperm and Testicular Function
-
- Reproductive Biology and Fertility
Papers in
-
- Reproductive Biology and Fertility 42
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- Sperm and Testicular Function 15
- Ovarian function and disorders 8
- Co-authors
- Brian Enright (5 shared papers)Xiuchun Tian (13 shared papers)Chikara Kubota (2 shared papers)R.H. Foote (12 shared papers)András Dinnyés (6 shared papers)Li‐Ying Sung (6 shared papers)P. Lonergan (3 shared papers)P.E.J. Bols (3 shared papers)
- Journals
- Theriogenology (22 papers)Reproduction Fertility and Development (6 papers)Biology of Reproduction (5 papers)Fertility and Sterility (2 papers)Computational Economics (2 papers)
- Partner nations
- United StatesChinaHungary
In The Last Decade
X. Yang
66 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 96
- Reproductive Medicine 451
- Public Health, Environmental and Occupational Health 1.1k
- Agronomy and Crop Science 244
- Genetics 470
- Molecular Biology 732
Countries citing papers authored by X. Yang
This map shows the geographic impact of X. Yang'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 X. Yang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites X. Yang more than expected).
Fields of papers citing papers by X. Yang
This network shows the impact of papers produced by X. Yang. 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 X. Yang. The network helps show where X. Yang may publish in the future.
Co-authors
The 25 scholars most cited alongside X. Yang, 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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 223 | |
| 2 | 2000 | 162 | |
| 3 | 2004 | 120 | |
| 4 | 2006 | 76 | |
| 5 | 2004 | 73 | |
| 6 | 2003 | 68 | |
| 7 | 1998 | 66 | |
| 8 | 2005 | 64 | |
| 9 | 2002 | 57 | |
| 10 | 2006 | 56 | |
| 11 | 1993 | 40 | |
| 12 | 1990 | 37 | |
| 13 | 1989 | 36 | |
| 14 | 1993 | 35 | |
| 15 | 2006 | 27 | |
| 16 | 2005 | 27 | |
| 17 | 2024 | 26 | |
| 18 | 1995 | 23 | |
| 19 | 2024 | 22 | |
| 20 | 2017 | 21 |
About X. Yang
X. Yang is a scholar working on Public Health, Environmental and Occupational Health, Reproductive Medicine, Molecular Biology, Genetics and Agronomy and Crop Science, having authored 72 papers that have together received 1.5k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (42 papers), Sperm and Testicular Function (15 papers), Pluripotent Stem Cells Research (10 papers), Ovarian function and disorders (8 papers), Animal Genetics and Reproduction (8 papers), Financial Risk and Volatility Modeling (7 papers), Probability and Risk Models (6 papers) and Statistical Methods and Inference (6 papers). The work is most often cited by research in Reproductive Medicine (451 citations), Public Health, Environmental and Occupational Health (1.1k citations), Agronomy and Crop Science (244 citations), Genetics (470 citations) and Molecular Biology (732 citations). X. Yang has collaborated with scholars based in United States, China and Hungary. Frequent co-authors include Brian Enright, Xiuchun Tian, Chikara Kubota, R.H. Foote, András Dinnyés, Li‐Ying Sung, P. Lonergan, P.E.J. Bols, Trudee Fair and X. Cindy Tian. Their work appears in journals such as Theriogenology, Reproduction Fertility and Development, Biology of Reproduction, Fertility and Sterility and Computational Economics.
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.