Ji Wu
Impact in
- Reproductive Medicine top 0.5%
- Sperm and Testicular Function
- Ovarian function and disorders
- Aging top 2%
Papers in
-
- Pluripotent Stem Cells Research 22
- Renal and related cancers 10
- Epigenetics and DNA Methylation 9
- RNA modifications and cancer 7
-
- Reproductive Biology and Fertility 42
- Co-authors
- Jie Xiang (3 shared papers)Zhaojuan Yang (7 shared papers)Douglas T. Carrell (2 shared papers)Kang Zou (5 shared papers)Kejing Sun (2 shared papers)Zhe Yuan (3 shared papers)Qingsheng Yu (3 shared papers)Yi Lin (4 shared papers)
- Journals
- Cell Proliferation (5 papers)Cell & Bioscience (5 papers)Biology of Reproduction (4 papers)Scientific Reports (3 papers)Frontiers in Cell and Developmental Biology (3 papers)
- Partner nations
- ChinaUnited StatesMontenegro
In The Last Decade
Ji Wu
118 papers receiving 3.5k citations
Ji Wu's Hit Papers
Peers
Comparison fields: 5 of 112
- Reproductive Medicine 913
- Aging 110
- Public Health, Environmental and Occupational Health 1.6k
- Cancer Research 450
- Molecular Biology 1.9k
Countries citing papers authored by Ji Wu
This map shows the geographic impact of Ji 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 Ji Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji Wu more than expected).
Fields of papers citing papers by Ji Wu
This network shows the impact of papers produced by Ji 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 Ji Wu. The network helps show where Ji Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Ji 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 126 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Production of offspring from a germline stem cell line derived from neonatal ovaries Hit paper breakdown → | 2009 | 481 |
| 2 | 2001 | 147 | |
| 3 | 2009 | 135 | |
| 4 | 2013 | 132 | |
| 5 | 2014 | 98 | |
| 6 | 2013 | 97 | |
| 7 | 2001 | 94 | |
| 8 | 2011 | 84 | |
| 9 | 2016 | 80 | |
| 10 | 2018 | 79 | |
| 11 | 2001 | 78 | |
| 12 | 2000 | 73 | |
| 13 | 2017 | 71 | |
| 14 | 2010 | 68 | |
| 15 | 2021 | 55 | |
| 16 | 2017 | 54 | |
| 17 | 2000 | 50 | |
| 18 | 2001 | 50 | |
| 19 | 2016 | 49 | |
| 20 | 2013 | 45 |
About Ji Wu
Ji Wu is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Reproductive Medicine, Genetics and Cancer Research, having authored 126 papers that have together received 3.5k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (42 papers), Sperm and Testicular Function (26 papers), Pluripotent Stem Cells Research (22 papers), Renal and related cancers (10 papers), Animal Genetics and Reproduction (10 papers), Epigenetics and DNA Methylation (9 papers), MicroRNA in disease regulation (8 papers) and RNA modifications and cancer (7 papers). The work is most often cited by research in Reproductive Medicine (913 citations), Aging (110 citations), Public Health, Environmental and Occupational Health (1.6k citations), Cancer Research (450 citations) and Molecular Biology (1.9k citations). Ji Wu has collaborated with scholars based in China, United States and Montenegro. Frequent co-authors include Jie Xiang, Zhaojuan Yang, Douglas T. Carrell, Kang Zou, Kejing Sun, Zhe Yuan, Qingsheng Yu, Yi Lin, Li Zhou and Geng Tian. Their work appears in journals such as Cell Proliferation, Cell & Bioscience, Biology of Reproduction, Scientific Reports and Frontiers in Cell and Developmental 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.