Xiaoxin Dai
Impact in
- Reproductive Medicine top 5%
- Sperm and Testicular Function
- Ovarian function and disorders
- Aging top 10%
Papers in
-
- Reproductive Biology and Fertility 11
- Cell Biology 10
- Microtubule and mitosis dynamics 8
- Cellular Mechanics and Interactions 2
- Co-authors
- Bo Xiong (14 shared papers)Yajuan Lu (12 shared papers)Yilong Miao (12 shared papers)Changyin Zhou (11 shared papers)Mianqun Zhang (11 shared papers)Zhaokang Cui (9 shared papers)Honglin Liu (6 shared papers)Shao‐Chen Sun (7 shared papers)
- Journals
- Human Reproduction (3 papers)PLoS ONE (3 papers)Cell Cycle (2 papers)Nucleic Acids Research (2 papers)Cell Death and Differentiation (1 paper)
- Partner nations
- ChinaSouth Korea
In The Last Decade
Xiaoxin Dai
22 papers receiving 626 citations
Peers
Comparison fields: 5 of 68
- Reproductive Medicine 150
- Aging 33
- Public Health, Environmental and Occupational Health 342
- Health, Toxicology and Mutagenesis 152
- Endocrine and Autonomic Systems 54
Countries citing papers authored by Xiaoxin Dai
This map shows the geographic impact of Xiaoxin Dai'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 Xiaoxin Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoxin Dai more than expected).
Fields of papers citing papers by Xiaoxin Dai
This network shows the impact of papers produced by Xiaoxin Dai. 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 Xiaoxin Dai. The network helps show where Xiaoxin Dai may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoxin Dai, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 94 | |
| 2 | 2017 | 82 | |
| 3 | 2017 | 68 | |
| 4 | 2017 | 65 | |
| 5 | 2014 | 55 | |
| 6 | 2015 | 47 | |
| 7 | 2018 | 33 | |
| 8 | 2017 | 28 | |
| 9 | 2015 | 25 | |
| 10 | 2016 | 21 | |
| 11 | 2017 | 16 | |
| 12 | 2014 | 14 | |
| 13 | 2012 | 13 | |
| 14 | 2017 | 12 | |
| 15 | 2015 | 11 | |
| 16 | 2016 | 11 | |
| 17 | 2023 | 10 | |
| 18 | 2021 | 7 | |
| 19 | 2020 | 7 | |
| 20 | 2022 | 6 |
About Xiaoxin Dai
Xiaoxin Dai is a scholar working on Public Health, Environmental and Occupational Health, Cell Biology, Molecular Biology, Health, Toxicology and Mutagenesis and Pediatrics, Perinatology and Child Health, having authored 23 papers that have together received 633 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (11 papers), Microtubule and mitosis dynamics (8 papers), Effects and risks of endocrine disrupting chemicals (5 papers), Toxic Organic Pollutants Impact (4 papers), DNA Repair Mechanisms (3 papers), Melamine detection and toxicity (3 papers), Sperm and Testicular Function (2 papers) and Cellular Mechanics and Interactions (2 papers). The work is most often cited by research in Reproductive Medicine (150 citations), Aging (33 citations), Public Health, Environmental and Occupational Health (342 citations), Health, Toxicology and Mutagenesis (152 citations) and Endocrine and Autonomic Systems (54 citations). Xiaoxin Dai has collaborated with scholars based in China and South Korea. Frequent co-authors include Bo Xiong, Yajuan Lu, Yilong Miao, Changyin Zhou, Mianqun Zhang, Zhaokang Cui, Honglin Liu, Shao‐Chen Sun, Xing Duan and Nam‐Hyung Kim. Their work appears in journals such as Human Reproduction, PLoS ONE, Cell Cycle, Nucleic Acids Research and Cell Death and Differentiation.
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.