Chong Li
- Cancer Research top 2%
- Cancer-related molecular mechanisms research 19
- Agronomy and Crop Science top 1%
- Ruminant Nutrition and Digestive Physiology 25
- Reproductive Physiology in Livestock 11
- Animal Science and Zoology top 1%
- Molecular Biology top 5%
- Gut microbiota and health 17
- Genetics top 5%
- Genetic and phenotypic traits in livestock 27
- Genetic Mapping and Diversity in Plants and Animals 11
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- Reproductive Biology and Fertility 24
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- Sperm and Testicular Function 13
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Chong Li
227 papers receiving 4.6k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Cancer Research 1.0k
- Agronomy and Crop Science 523
- Animal Science and Zoology 413
- Molecular Biology 2.3k
- Genetics 645
Countries citing papers authored by Chong Li
This map shows the geographic impact of Chong Li'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 Chong Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chong Li more than expected).
Fields of papers citing papers by Chong Li
This network shows the impact of papers produced by Chong Li. 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 Chong Li. The network helps show where Chong Li may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Chong Li, 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 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 10 | |
| 8 | 2023 | 9 | |
| 9 | 2022 | 5 | |
| 10 | 2021 | 27 | |
| 11 | 2021 | 1 | |
| 12 | 2021 | 5 | |
| 13 | 2021 | 2 | |
| 14 | 2020 | 10 | |
| 15 | 2020 | 28 | |
| 16 | 2019 | 14 | |
| 17 | 2018 | 27 | |
| 18 | Effects of different starter supplying ages on growth performance and stomach development of Hu sheep lamb. | 2016 | 1 |
| 19 | Effect of feeding grape pomace on nutrient digestibility, body weight gain, and carcass quality in lambs. | 2015 | 1 |
| 20 | 2011 | 7 |
About Chong Li
Chong Li is a scholar working on Agronomy and Crop Science, Genetics, Reproductive Medicine, Cancer Research and Animal Science and Zoology, having authored 250 papers that have together received 4.7k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (27 papers), Ruminant Nutrition and Digestive Physiology (25 papers), Reproductive Biology and Fertility (24 papers), Cancer-related molecular mechanisms research (19 papers), Gut microbiota and health (17 papers), Sperm and Testicular Function (13 papers), Reproductive Physiology in Livestock (11 papers) and Genetic Mapping and Diversity in Plants and Animals (11 papers). The work is most often cited by research in Cancer Research (1.0k citations), Agronomy and Crop Science (523 citations), Animal Science and Zoology (413 citations), Molecular Biology (2.3k citations) and Genetics (645 citations). Chong Li has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Fadi Li, Zusen Fan, Weimin Wang, Pingping Zhu, Yong Tian, Buqing Ye, Lei He, Yanying Wang, Ying Du and Desheng Qi. Their work appears in journals such as PLoS ONE, Animals, Scientific Reports, Frontiers in Microbiology and Animal Feed Science and Technology.
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.