N. Li
Impact in
- Animal Science and Zoology top 2%
- Animal Nutrition and Physiology
- Genetics top 5%
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Animal Genetics and Reproduction
Papers in
- Genetics 36
- Genetic and phenotypic traits in livestock 16
- Animal Genetics and Reproduction 16
- Genetic Mapping and Diversity in Plants and Animals 13
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- CRISPR and Genetic Engineering 5
- Co-authors
- Seogchan Kang (10 shared papers)Guangbin Zhou (1 shared paper)John W. Frankenfeld (1 shared paper)Alsayed Alfiky (2 shared papers)Xiaoxiang Hu (13 shared papers)H. Li (5 shared papers)Xuemei Deng (5 shared papers)Qinyi Wang (4 shared papers)
- Journals
- Animal Genetics (15 papers)Poultry Science (15 papers)Molecular Biology Reports (5 papers)Journal of Animal Science (3 papers)Theriogenology (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
N. Li
77 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 115
- Animal Science and Zoology 300
- Genetics 644
- Reproductive Medicine 132
- Plant Science 472
- Cell Biology 163
Countries citing papers authored by N. Li
This map shows the geographic impact of N. 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 N. Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Li more than expected).
Fields of papers citing papers by N. Li
This network shows the impact of papers produced by N. 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 N. Li. The network helps show where N. Li may publish in the future.
Co-authors
The 25 scholars most cited alongside N. 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1977 | 128 | |
| 2 | 2006 | 119 | |
| 3 | 2018 | 112 | |
| 4 | 2015 | 94 | |
| 5 | 2017 | 79 | |
| 6 | 2009 | 75 | |
| 7 | 2016 | 61 | |
| 8 | 2004 | 59 | |
| 9 | 2005 | 55 | |
| 10 | 2008 | 51 | |
| 11 | 2008 | 47 | |
| 12 | 2010 | 45 | |
| 13 | 1995 | 44 | |
| 14 | 2006 | 41 | |
| 15 | 2012 | 41 | |
| 16 | 2006 | 39 | |
| 17 | 2010 | 37 | |
| 18 | 2019 | 37 | |
| 19 | 2011 | 36 | |
| 20 | 2012 | 35 |
About N. Li
N. Li is a scholar working on Genetics, Molecular Biology, Plant Science, Animal Science and Zoology and Cell Biology, having authored 77 papers that have together received 1.9k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (16 papers), Animal Genetics and Reproduction (16 papers), Genetic Mapping and Diversity in Plants and Animals (13 papers), Animal Nutrition and Physiology (13 papers), Plant-Microbe Interactions and Immunity (10 papers), Reproductive Biology and Fertility (8 papers), Plant Pathogens and Fungal Diseases (7 papers) and CRISPR and Genetic Engineering (5 papers). The work is most often cited by research in Animal Science and Zoology (300 citations), Genetics (644 citations), Reproductive Medicine (132 citations), Plant Science (472 citations) and Cell Biology (163 citations). N. Li has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Seogchan Kang, Guangbin Zhou, John W. Frankenfeld, Alsayed Alfiky, Xiaoxiang Hu, H. Li, Xuemei Deng, Qinyi Wang, Xingzhong Liu and Wenzhao Wang. Their work appears in journals such as Animal Genetics, Poultry Science, Molecular Biology Reports, Journal of Animal Science 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.