Guangpeng Li
- Molecular Biology top 5%
- Public Health, Environmental and Occupational Health top 2%
- Genetics top 5%
- Reproductive Medicine top 2%
- Cancer Research top 10%
- Co-authors
- Chunling BaiYongchun ZuoZhuying WeiShengnan TangYong ZhuLei YangGuanghua SuThomas D. Bunch
- Topics
- Reproductive Biology and Fertility (51 papers)Animal Genetics and Reproduction (34 papers)Pluripotent Stem Cells Research (29 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsPLoS ONE
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Guangpeng Li
190 papers receiving 3.0k citations
Peers
Comparison fields: 5 of 160
- Molecular Biology 1.7k
- Public Health, Environmental and Occupational Health 724
- Genetics 636
- Reproductive Medicine 432
- Cancer Research 291
Countries citing papers authored by Guangpeng Li
This map shows the geographic impact of Guangpeng 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 Guangpeng Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guangpeng Li more than expected).
Fields of papers citing papers by Guangpeng Li
This network shows the impact of papers produced by Guangpeng 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 Guangpeng Li. The network helps show where Guangpeng Li may publish in the future.
Co-authorship network of co-authors of Guangpeng Li
This figure shows the co-authorship network connecting the top 25 collaborators of Guangpeng Li. A scholar is included among the top collaborators of Guangpeng Li based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guangpeng Li. Guangpeng Li is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 43 | |
| 7 | 1 | |
| 8 | 30 | |
| 9 | 19 | |
| 10 | 13 | |
| 11 | 28 | |
| 12 | 35 | |
| 13 | 0 | |
| 14 | 25 | |
| 15 | 7 | |
| 16 | Representation and application of ontology based emergency plan for logistics | 1 |
| 17 | 4 | |
| 18 | Analysis of the value of cooperation in green supply chain | 1 |
| 19 | 58 | |
| 20 | 18 |
About Guangpeng Li
Guangpeng Li is a scholar working on Reproductive Medicine, Aging and Business and International Management, having authored 210 papers that have together received 3.0k indexed citations. Recurring topics across this work include Reproductive Biology and Fertility (51 papers), Animal Genetics and Reproduction (34 papers) and Pluripotent Stem Cells Research (29 papers). The work is most often cited by research in Reproductive Medicine (432 citations), Public Health, Environmental and Occupational Health (724 citations) and Molecular Biology (1.7k citations). Guangpeng Li has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Chunling Bai, Yongchun Zuo, Zhuying Wei, Shengnan Tang, Yong Zhu, Lei Yang, Guanghua Su, Thomas D. Bunch, Kenneth L. White and Hong Su. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and PLoS ONE.
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.