Haipeng Li
Impact in
- Genetics top 1%
- Genetic diversity and population structure
- Evolution and Genetic Dynamics
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Inorganic Chemistry top 2%
- Metal-Organic Frameworks: Synthesis and Applications
Papers in
-
- Machine Learning in Bioinformatics 16
- Genetics 33
- Genetic diversity and population structure 25
- Genetic Mapping and Diversity in Plants and Animals 13
- Evolution and Genetic Dynamics 9
- Genetic and phenotypic traits in livestock 9
- Co-authors
- Wolfgang Stephan (4 shared papers)Quan‐Guo Zhai (9 shared papers)Yu‐Cheng Jiang (8 shared papers)Man‐Cheng Hu (8 shared papers)Yu‐Dong Cai (17 shared papers)Yingying Xue (4 shared papers)Yun‐Xin Fu (4 shared papers)Ming Chen (4 shared papers)
- Journals
- Genetics (7 papers)PLoS ONE (6 papers)Molecular Biology and Evolution (6 papers)Scientific Reports (4 papers)BioMed Research International (4 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Haipeng Li
204 papers receiving 5.0k citations
Peers
Comparison fields: 5 of 189
- Genetics 1.1k
- Inorganic Chemistry 474
- Aging 58
- Process Chemistry and Technology 79
- Molecular Biology 1.4k
Countries citing papers authored by Haipeng Li
This map shows the geographic impact of Haipeng 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 Haipeng Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haipeng Li more than expected).
Fields of papers citing papers by Haipeng Li
This network shows the impact of papers produced by Haipeng 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 Haipeng Li. The network helps show where Haipeng Li may publish in the future.
Co-authors
The 25 scholars most cited alongside Haipeng 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 222 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 235 | |
| 2 | 2019 | 217 | |
| 3 | 2013 | 181 | |
| 4 | 2004 | 165 | |
| 5 | 2016 | 148 | |
| 6 | 2013 | 125 | |
| 7 | 2015 | 124 | |
| 8 | 2011 | 103 | |
| 9 | 2016 | 101 | |
| 10 | 2007 | 95 | |
| 11 | 2000 | 83 | |
| 12 | 2006 | 83 | |
| 13 | 2017 | 79 | |
| 14 | 2010 | 78 | |
| 15 | 2019 | 75 | |
| 16 | 2016 | 72 | |
| 17 | 2013 | 70 | |
| 18 | 2017 | 68 | |
| 19 | 2010 | 66 | |
| 20 | 2010 | 65 |
About Haipeng Li
Haipeng Li is a scholar working on Molecular Biology, Genetics, Materials Chemistry, Mechanical Engineering and Water Science and Technology, having authored 222 papers that have together received 5.0k indexed citations. Recurring topics across this work include Genetic diversity and population structure (25 papers), Machine Learning in Bioinformatics (16 papers), Genetic Mapping and Diversity in Plants and Animals (13 papers), Meat and Animal Product Quality (13 papers), Metal-Organic Frameworks: Synthesis and Applications (10 papers), Minerals Flotation and Separation Techniques (9 papers), Evolution and Genetic Dynamics (9 papers) and Genetic and phenotypic traits in livestock (9 papers). The work is most often cited by research in Genetics (1.1k citations), Inorganic Chemistry (474 citations), Aging (58 citations), Process Chemistry and Technology (79 citations) and Molecular Biology (1.4k citations). Haipeng Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Wolfgang Stephan, Quan‐Guo Zhai, Yu‐Cheng Jiang, Man‐Cheng Hu, Yu‐Dong Cai, Yingying Xue, Yun‐Xin Fu, Ming Chen, Chenchen Shi and Lifei Hou. Their work appears in journals such as Genetics, PLoS ONE, Molecular Biology and Evolution, Scientific Reports and BioMed Research International.
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.