Xiaoxin Dai
Impact in
-
- Reproductive Biology and Fertility
- Cell Biology top 10%
- Microtubule and mitosis dynamics
Papers in
- Cell Biology 10
- Microtubule and mitosis dynamics 10
- Cellular Mechanics and Interactions 2
-
- Reproductive Biology and Fertility 14
- Co-authors
- Bo Xiong (14 shared papers)Yajuan Lu (12 shared papers)Yilong Miao (12 shared papers)Mianqun Zhang (11 shared papers)Changyin Zhou (11 shared papers)Zhaokang Cui (9 shared papers)Honglin Liu (6 shared papers)Shao‐Chen Sun (7 shared papers)
- Journals
- PLoS ONE (3 papers)Human Reproduction (3 papers)Cell Cycle (2 papers)Nucleic Acids Research (2 papers)Journal of Pineal Research (1 paper)
- Partner nations
- ChinaSouth Korea
In The Last Decade
Xiaoxin Dai
22 papers receiving 643 citations
Peers
Comparison fields: 5 of 36
- Public Health, Environmental and Occupational Health 425
- Cell Biology 98
- Health, Toxicology and Mutagenesis 95
- Reproductive Medicine 34
- Endocrine and Autonomic Systems 16
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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 99 | |
| 2 | 2017 | 83 | |
| 3 | 2017 | 69 | |
| 4 | 2017 | 65 | |
| 5 | 2014 | 57 | |
| 6 | 2015 | 47 | |
| 7 | 2018 | 36 | |
| 8 | 2017 | 29 | |
| 9 | 2015 | 26 | |
| 10 | 2016 | 22 | |
| 11 | 2017 | 16 | |
| 12 | 2014 | 14 | |
| 13 | 2012 | 13 | |
| 14 | 2017 | 13 | |
| 15 | 2015 | 11 | |
| 16 | 2016 | 11 | |
| 17 | 2023 | 10 | |
| 18 | 2021 | 8 | |
| 19 | 2022 | 8 | |
| 20 | 2020 | 7 |
About Xiaoxin Dai
Xiaoxin Dai is a scholar working on Cell Biology, Public Health, Environmental and Occupational Health, Food Science, Health, Toxicology and Mutagenesis and Physiology, having authored 24 papers that have together received 653 indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (14 papers), Microtubule and mitosis dynamics (10 papers), Melamine detection and toxicity (3 papers), Cellular Mechanics and Interactions (2 papers), Aquaculture Nutrition and Growth (1 paper), Per- and polyfluoroalkyl substances research (1 paper), Effects and risks of endocrine disrupting chemicals (1 paper) and Reproductive biology and impacts on aquatic species (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (425 citations), Cell Biology (98 citations), Health, Toxicology and Mutagenesis (95 citations), Reproductive Medicine (34 citations) and Endocrine and Autonomic Systems (16 citations). Xiaoxin Dai has collaborated with scholars based in China and South Korea. Frequent co-authors include Bo Xiong, Yajuan Lu, Yilong Miao, Mianqun Zhang, Changyin Zhou, Zhaokang Cui, Honglin Liu, Shao‐Chen Sun, Xing Duan and Nam‐Hyung Kim. Their work appears in journals such as PLoS ONE, Human Reproduction, Cell Cycle, Nucleic Acids Research and Journal of Pineal Research.
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.