Songjia Lai
- Animal Science and Zoology top 2%
- Rabbits: Nutrition, Reproduction, Health 28
- Animal Nutrition and Physiology 13
- Agronomy and Crop Science top 5%
- Cancer Research top 10%
- Cancer-related molecular mechanisms research 25
- MicroRNA in disease regulation 16
- Genetics top 10%
- Genetic and phenotypic traits in livestock 25
- Genetic Mapping and Diversity in Plants and Animals 10
- Physiology top 10%
- Adipose Tissue and Metabolism 38
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- Adipokines, Inflammation, and Metabolic Diseases 11
- Journals
- Animals (16 papers)International Journal of Molecular Sciences (6 papers)Frontiers in Veterinary Science (6 papers)
- Partner nations
- ChinaUnited StatesIndia
In The Last Decade
Songjia Lai
113 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 104
- Animal Science and Zoology 329
- Agronomy and Crop Science 181
- Cancer Research 246
- Genetics 336
- Physiology 196
Countries citing papers authored by Songjia Lai
This map shows the geographic impact of Songjia Lai'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 Songjia Lai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Songjia Lai more than expected).
Fields of papers citing papers by Songjia Lai
This network shows the impact of papers produced by Songjia Lai. 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 Songjia Lai. The network helps show where Songjia Lai may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Songjia Lai, 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 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 0 | |
| 7 | 2023 | 4 | |
| 8 | 2023 | 5 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 4 | |
| 11 | 2023 | 4 | |
| 12 | 2022 | 4 | |
| 13 | 2021 | 11 | |
| 14 | 2019 | 3 | |
| 15 | 2018 | 4 | |
| 16 | 2014 | 17 | |
| 17 | 2013 | 11 | |
| 18 | 2012 | 12 | |
| 19 | 2009 | 8 | |
| 20 | 2005 | 113 |
About Songjia Lai
Songjia Lai is a scholar working on Animal Science and Zoology, Cancer Research and Agronomy and Crop Science, having authored 120 papers that have together received 1.2k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (38 papers), Rabbits: Nutrition, Reproduction, Health (28 papers), Cancer-related molecular mechanisms research (25 papers), Genetic and phenotypic traits in livestock (25 papers), MicroRNA in disease regulation (16 papers), Animal Nutrition and Physiology (13 papers), Adipokines, Inflammation, and Metabolic Diseases (11 papers) and Genetic Mapping and Diversity in Plants and Animals (10 papers). The work is most often cited by research in Animal Science and Zoology (329 citations), Agronomy and Crop Science (181 citations) and Cancer Research (246 citations). Songjia Lai has collaborated with scholars based in China, United States and India. Frequent co-authors include Xianbo Jia, Shiyi Chen, Yu Shi, Yiping Liu, Shenqiang Hu, Yong‐Gang Yao, Mauricio A. Elzo, Xuewei Li, Yanxing Liu and Jie Wang. Their work appears in journals such as Animals, International Journal of Molecular Sciences, Frontiers in Veterinary Science, Asian-Australasian Journal of Animal Sciences and Gene.
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.