Dandan Bai
Impact in
- Reproductive Medicine top 10%
- Sperm and Testicular Function
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- Reproductive Biology and Fertility
Papers in
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- Epigenetics and DNA Methylation 8
- Pluripotent Stem Cells Research 5
- Renal and related cancers 5
- CRISPR and Genetic Engineering 3
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- Reproductive Biology and Fertility 5
- Co-authors
- Shaorong Gao (17 shared papers)Yalin Zhang (10 shared papers)Xiaoming Teng (6 shared papers)Wenqiang Liu (10 shared papers)Xiaochen Kou (8 shared papers)Yingdong Liu (10 shared papers)Jiqing Yin (10 shared papers)Yanhe Li (7 shared papers)
In The Last Decade
Dandan Bai
18 papers receiving 339 citations
Peers
Comparison fields: 5 of 60
- Reproductive Medicine 65
- Public Health, Environmental and Occupational Health 72
- Molecular Biology 177
- Pediatrics, Perinatology and Child Health 41
- Obstetrics and Gynecology 16
Countries citing papers authored by Dandan Bai
This map shows the geographic impact of Dandan Bai'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 Dandan Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dandan Bai more than expected).
Fields of papers citing papers by Dandan Bai
This network shows the impact of papers produced by Dandan Bai. 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 Dandan Bai. The network helps show where Dandan Bai may publish in the future.
Co-authors
The 25 scholars most cited alongside Dandan Bai, 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 70 | |
| 2 | 2019 | 45 | |
| 3 | 2021 | 41 | |
| 4 | 2022 | 32 | |
| 5 | 2020 | 29 | |
| 6 | 2022 | 21 | |
| 7 | 2021 | 20 | |
| 8 | 2024 | 17 | |
| 9 | 2022 | 17 | |
| 10 | 2022 | 14 | |
| 11 | 2020 | 10 | |
| 12 | 2023 | 9 | |
| 13 | 2024 | 7 | |
| 14 | 2023 | 6 | |
| 15 | 2025 | 2 | |
| 16 | 2024 | 2 | |
| 17 | 2025 | 1 | |
| 18 | 2020 | 1 | |
| 19 | 2025 | 0 | |
| 20 | 2012 | 0 |
About Dandan Bai
Dandan Bai is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Genetics, Immunology and Pediatrics, Perinatology and Child Health, having authored 21 papers that have together received 344 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (8 papers), Pluripotent Stem Cells Research (5 papers), Renal and related cancers (5 papers), Reproductive Biology and Fertility (5 papers), Reproductive System and Pregnancy (4 papers), Genetic Syndromes and Imprinting (3 papers), CRISPR and Genetic Engineering (3 papers) and Endometriosis Research and Treatment (2 papers). The work is most often cited by research in Reproductive Medicine (65 citations), Public Health, Environmental and Occupational Health (72 citations), Molecular Biology (177 citations), Pediatrics, Perinatology and Child Health (41 citations) and Obstetrics and Gynecology (16 citations). Dandan Bai has collaborated with scholars based in China, India and Sweden. Frequent co-authors include Shaorong Gao, Yalin Zhang, Xiaoming Teng, Wenqiang Liu, Xiaochen Kou, Yingdong Liu, Jiqing Yin, Yanhe Li, Jiayu Chen and Yanping Jia. Their work appears in journals such as Protein & Cell, Nature Communications, Environmental Pollution, Cell Reports and Human Genetics.
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.