Ding-Ping Bai
Impact in
- Molecular Medicine top 5%
- Curcumin's Biomedical Applications
-
- Nanoparticle-Based Drug Delivery
Papers in
-
- Protein Hydrolysis and Bioactive Peptides 2
- Genetics 6
- Genetic and phenotypic traits in livestock 3
- Animal Genetics and Reproduction 2
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 2
- Co-authors
- Xifeng Zhang (4 shared papers)Sangiliyandi Gurunathan (2 shared papers)Guoliang Zhang (1 shared paper)Yifan Huang (1 shared paper)Xiaohong Huang (5 shared papers)Xinyu Lin (3 shared papers)Yifan Huang (3 shared papers)Zixi Wei (1 shared paper)
- Journals
- Poultry Science (3 papers)International Journal of Nanomedicine (2 papers)British Poultry Science (2 papers)BMC Genomics (2 papers)Theriogenology (1 paper)
- Partner nations
- ChinaUnited StatesSouth Korea
In The Last Decade
Ding-Ping Bai
23 papers receiving 773 citations
Peers
Comparison fields: 5 of 103
- Molecular Medicine 95
- Biomaterials 75
- Biochemistry 28
- Animal Science and Zoology 45
- Materials Chemistry 189
Countries citing papers authored by Ding-Ping Bai
This map shows the geographic impact of Ding-Ping 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 Ding-Ping Bai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ding-Ping Bai more than expected).
Fields of papers citing papers by Ding-Ping Bai
This network shows the impact of papers produced by Ding-Ping 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 Ding-Ping Bai. The network helps show where Ding-Ping Bai may publish in the future.
Co-authors
The 25 scholars most cited alongside Ding-Ping 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 251 | |
| 2 | 2017 | 238 | |
| 3 | 2018 | 75 | |
| 4 | 2017 | 56 | |
| 5 | 2020 | 25 | |
| 6 | 2019 | 22 | |
| 7 | 2012 | 17 | |
| 8 | 2020 | 14 | |
| 9 | 2017 | 14 | |
| 10 | 2019 | 12 | |
| 11 | 2019 | 10 | |
| 12 | 2016 | 9 | |
| 13 | 2016 | 9 | |
| 14 | 2022 | 7 | |
| 15 | 2019 | 5 | |
| 16 | 2024 | 5 | |
| 17 | 2013 | 4 | |
| 18 | 2023 | 3 | |
| 19 | 2024 | 3 | |
| 20 | 2019 | 2 |
About Ding-Ping Bai
Ding-Ping Bai is a scholar working on Molecular Biology, Genetics, Epidemiology, Biomedical Engineering and Animal Science and Zoology, having authored 25 papers that have together received 785 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (3 papers), Genetic and phenotypic traits in livestock (3 papers), Animal Nutrition and Physiology (3 papers), Biofuel production and bioconversion (2 papers), Curcumin's Biomedical Applications (2 papers), Animal Genetics and Reproduction (2 papers), Protein Hydrolysis and Bioactive Peptides (2 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers). The work is most often cited by research in Molecular Medicine (95 citations), Biomaterials (75 citations), Biochemistry (28 citations), Animal Science and Zoology (45 citations) and Materials Chemistry (189 citations). Ding-Ping Bai has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Xifeng Zhang, Sangiliyandi Gurunathan, Guoliang Zhang, Yifan Huang, Xiaohong Huang, Xinyu Lin, Yifan Huang, Zixi Wei, Ying Zhang and Hui Deng. Their work appears in journals such as Poultry Science, International Journal of Nanomedicine, British Poultry Science, BMC Genomics and Theriogenology.
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.