H. Li
Impact in
- Animal Science and Zoology top 1%
- Animal Nutrition and Physiology
- Genetics top 5%
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
Papers in
- Genetics 23
- Genetic and phenotypic traits in livestock 16
- Genetic Mapping and Diversity in Plants and Animals 13
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- Peroxisome Proliferator-Activated Receptors 12
- Epigenetics and DNA Methylation 3
- Co-authors
- L. Leng (9 shared papers)Qinyi Wang (8 shared papers)Y. Wang (6 shared papers)N. Wang (11 shared papers)Hui Zhang (9 shared papers)Huaijun Zhou (3 shared papers)N. Li (5 shared papers)S.J. Lamont (2 shared papers)
In The Last Decade
H. Li
44 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 70
- Animal Science and Zoology 468
- Genetics 459
- Cancer Research 143
- Biochemistry 58
- Physiology 198
Countries citing papers authored by H. Li
This map shows the geographic impact of H. 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 H. Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Li more than expected).
Fields of papers citing papers by H. Li
This network shows the impact of papers produced by H. 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 H. Li. The network helps show where H. Li may publish in the future.
Co-authors
The 25 scholars most cited alongside H. 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
Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 94 | |
| 2 | 2003 | 91 | |
| 3 | 2008 | 73 | |
| 4 | 2017 | 50 | |
| 5 | 2004 | 50 | |
| 6 | 2008 | 46 | |
| 7 | 2006 | 43 | |
| 8 | 2009 | 41 | |
| 9 | 2006 | 41 | |
| 10 | 2006 | 37 | |
| 11 | 2003 | 33 | |
| 12 | 2007 | 32 | |
| 13 | 2015 | 31 | |
| 14 | 2013 | 28 | |
| 15 | 2010 | 26 | |
| 16 | 2016 | 26 | |
| 17 | 2006 | 25 | |
| 18 | 2021 | 24 | |
| 19 | 2008 | 23 | |
| 20 | 2011 | 23 |
About H. Li
H. Li is a scholar working on Genetics, Molecular Biology, Animal Science and Zoology, Physiology and Epidemiology, having authored 49 papers that have together received 1.1k indexed citations. Recurring topics across this work include Animal Nutrition and Physiology (19 papers), Genetic and phenotypic traits in livestock (16 papers), Genetic Mapping and Diversity in Plants and Animals (13 papers), Peroxisome Proliferator-Activated Receptors (12 papers), Adipose Tissue and Metabolism (9 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Growth Hormone and Insulin-like Growth Factors (4 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Animal Science and Zoology (468 citations), Genetics (459 citations), Cancer Research (143 citations), Biochemistry (58 citations) and Physiology (198 citations). H. Li has collaborated with scholars based in China, Czechia and Australia. Frequent co-authors include L. Leng, Qinyi Wang, Y. Wang, N. Wang, Hui Zhang, Huaijun Zhou, N. Li, S.J. Lamont, Shou Zhen Wang and N. Deeb. Their work appears in journals such as Poultry Science, Journal of Animal Science, Journal of Animal Breeding and Genetics, Domestic Animal Endocrinology and animal.
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.