Fang Li
- Molecular Biology top 5%
- Cancer Research top 2%
- Plant Science top 5%
- Immunology top 5%
- Genetics top 5%
- Co-authors
- Xiaoqin LiuMasayori InouyeDongfeng ZhangMingxing AnSean P. PalecekJian ZhengJiachun LüWei Li
- Topics
- Genetic and phenotypic traits in livestock (10 papers)Chemokine receptors and signaling (9 papers)Immune Response and Inflammation (7 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Fang Li
158 papers receiving 4.8k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Molecular Biology 2.3k
- Cancer Research 788
- Plant Science 653
- Immunology 652
- Genetics 535
Countries citing papers authored by Fang Li
This map shows the geographic impact of Fang 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 Fang Li with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fang Li more than expected).
Fields of papers citing papers by Fang Li
This network shows the impact of papers produced by Fang 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 Fang Li. The network helps show where Fang Li may publish in the future.
Co-authorship network of co-authors of Fang Li
This figure shows the co-authorship network connecting the top 25 collaborators of Fang Li. A scholar is included among the top collaborators of Fang 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 Fang Li. Fang 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 | 1 | |
| 2 | 8 | |
| 3 | 12 | |
| 4 | 16 | |
| 5 | 5 | |
| 6 | 2 | |
| 7 | Research progress on the 14-3-3 protein involved in plant responses to abiotic stress. | 1 |
| 8 | 5 | |
| 9 | 46 | |
| 10 | 1 | |
| 11 | 5 | |
| 12 | 9 | |
| 13 | Identification of MicroRNA SNPs of HSF1 Gene and Their Association with Heat Tolerance in Chinese Holstein | 1 |
| 14 | 48 | |
| 15 | Polymorphism of prolactin gene and its relationship with prolificacy of small tail han sheep | 6 |
| 16 | Construction and preliminary analysis of cDNA library of Malus sieversii under drought stress by suppression subtractive hybridization. | 1 |
| 17 | Bone Morphogenetic Protein 15 as a Candidate Gene for Prolificacy of Jining Grey Goat | 1 |
| 18 | Polymorphism of Progesterone Receptor Gene and Its Relationship with Litter Size of Jining Grey Goats | 1 |
| 19 | 59 | |
| 20 | 55 |
About Fang Li
Fang Li is a scholar working on Immunology, Molecular Medicine and Molecular Biology, having authored 167 papers that have together received 4.9k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (10 papers), Chemokine receptors and signaling (9 papers) and Immune Response and Inflammation (7 papers). The work is most often cited by research in Cancer Research (788 citations), Molecular Biology (2.3k citations) and Immunology (652 citations). Fang Li has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Xiaoqin Liu, Masayori Inouye, Dongfeng Zhang, Mingxing An, Sean P. Palecek, Jian Zheng, Jiachun Lü, Wei Li, Yifeng Zhou and Liyuan Zhang. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Oncology.
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.