Chao Ning
- Genetics top 5%
- Genetic and phenotypic traits in livestock 31
- Genetic Mapping and Diversity in Plants and Animals 26
- Cancer Research top 10%
- Cancer-related molecular mechanisms research 21
- MicroRNA in disease regulation 6
- Insect Science top 5%
-
- Neurobiology and Insect Physiology Research 7
- Animal Science and Zoology top 5%
-
- Extracellular vesicles in disease 5
- Molecular Biology Techniques and Applications 5
- Epigenetics and DNA Methylation 4
- Journals
- Frontiers in Genetics (6 papers)Journal of Dairy Science (6 papers)Scientific Reports (4 papers)
- Partner nations
- ChinaUnited StatesIndonesia
In The Last Decade
Chao Ning
66 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 101
- Genetics 544
- Cancer Research 277
- Insect Science 175
- Cellular and Molecular Neuroscience 189
- Animal Science and Zoology 94
Countries citing papers authored by Chao Ning
This map shows the geographic impact of Chao Ning'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 Chao Ning with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao Ning more than expected).
Fields of papers citing papers by Chao Ning
This network shows the impact of papers produced by Chao Ning. 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 Chao Ning. The network helps show where Chao Ning may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chao Ning, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 4 | |
| 5 | 2023 | 10 | |
| 6 | 2023 | 6 | |
| 7 | 2023 | 19 | |
| 8 | 2022 | 2 | |
| 9 | 2021 | 0 | |
| 10 | 2020 | 23 | |
| 11 | 2020 | 5 | |
| 12 | 2019 | 21 | |
| 13 | 2019 | 25 | |
| 14 | 2019 | 29 | |
| 15 | 2018 | 9 | |
| 16 | 2018 | 16 | |
| 17 | 2018 | 2 | |
| 18 | 2018 | 29 | |
| 19 | 2017 | 18 | |
| 20 | 2017 | 33 |
About Chao Ning
Chao Ning is a scholar working on Genetics, Cancer Research, Animal Science and Zoology, Agronomy and Crop Science and Insect Science, having authored 73 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (31 papers), Genetic Mapping and Diversity in Plants and Animals (26 papers), Cancer-related molecular mechanisms research (21 papers), Neurobiology and Insect Physiology Research (7 papers), MicroRNA in disease regulation (6 papers), Extracellular vesicles in disease (5 papers), Molecular Biology Techniques and Applications (5 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Genetics (544 citations), Cancer Research (277 citations), Insect Science (175 citations), Cellular and Molecular Neuroscience (189 citations) and Animal Science and Zoology (94 citations). Chao Ning has collaborated with scholars based in China, United States and Indonesia. Frequent co-authors include Jianfeng Liu, Ling‐Qiao Huang, Chen‐Zhu Wang, Dan Wang, Ke Yang, Xianrui Zheng, Haifei Wang, Qin Zhang, Huimin Kang and Lei Zhou. Their work appears in journals such as Frontiers in Genetics, Journal of Dairy Science, Scientific Reports, eLife and Bioinformatics.
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.