Fang Li

6.5k total citations · 1 hit paper
167 papers, 4.9k citations indexed

About

Fang Li is a scholar working on Molecular Biology, Immunology and Genetics. According to data from OpenAlex, Fang Li has authored 167 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Molecular Biology, 25 papers in Immunology and 24 papers in Genetics. Recurrent topics in Fang Li's work include Genetic and phenotypic traits in livestock (10 papers), Chemokine receptors and signaling (9 papers) and Immune Response and Inflammation (7 papers). Fang Li is often cited by papers focused on Genetic and phenotypic traits in livestock (10 papers), Chemokine receptors and signaling (9 papers) and Immune Response and Inflammation (7 papers). Fang Li collaborates with scholars based in China, United States and Canada. Fang Li's co-authors include Xiaoqin Liu, Masayori Inouye, Dongfeng Zhang, Wei Li, Jieqiong Deng, Mingxing An, Sean P. Palecek, Yifeng Zhou, Jian Zheng and Jiachun Lü and has published in prestigious journals such as Nucleic Acids Research, Journal of Biological Chemistry and Journal of Clinical Oncology.

In The Last Decade

Fang Li

158 papers receiving 4.8k citations

Hit Papers

Circular RNA ITCH has inh... 2015 2026 2018 2022 2015 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fang Li China 39 2.3k 788 653 652 535 167 4.9k
De Wu China 40 2.2k 1.0× 564 0.7× 328 0.5× 460 0.7× 416 0.8× 336 6.4k
Jun Ma China 39 4.5k 2.0× 1.0k 1.3× 325 0.5× 695 1.1× 470 0.9× 198 7.5k
Na Wang China 36 2.1k 0.9× 454 0.6× 368 0.6× 845 1.3× 519 1.0× 273 5.0k
Borut Štrukelj Slovenia 39 3.5k 1.5× 287 0.4× 670 1.0× 486 0.7× 606 1.1× 158 6.3k
Yanan Li China 34 2.3k 1.0× 693 0.9× 257 0.4× 660 1.0× 243 0.5× 262 4.4k
Dorothee Günzel Germany 45 4.0k 1.8× 408 0.5× 269 0.4× 547 0.8× 768 1.4× 117 8.1k
Weiping Zhang China 44 2.5k 1.1× 247 0.3× 735 1.1× 709 1.1× 736 1.4× 268 6.7k
Yingyu Chen China 29 2.7k 1.2× 289 0.4× 225 0.3× 731 1.1× 376 0.7× 163 4.8k
Yan Zeng China 35 2.7k 1.2× 989 1.3× 195 0.3× 1.1k 1.6× 269 0.5× 137 4.7k
Václav Větvička United States 45 2.3k 1.0× 593 0.8× 1.8k 2.7× 2.3k 3.6× 373 0.7× 254 8.3k

Countries citing papers authored by Fang Li

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Li, Ying, Fang Li, Jinsong Huang, et al.. (2023). An association study of clock genes with major depressive disorder. Journal of Affective Disorders. 341. 147–153. 11 indexed citations
3.
Chen, Ying, Fang Li, Rushuang Yan, et al.. (2021). Emergence of carbapenem-resistant Klebsiella pneumoniae harbouring bla OXA-48-like genes in China. Journal of Medical Microbiology. 70(3). 16 indexed citations
4.
Yu, Huiyuan, Chih‐Lung Wu, Hsi-Tsung Cheng, et al.. (2019). <p>A novel CXCL8 analog is effective in inhibiting the growth via cell cycle arrest and attenuating invasion of Lewis lung carcinoma</p>. OncoTargets and Therapy. Volume 12. 7611–7621. 5 indexed citations
5.
Li, Fang, Chao Song, Jinhua Zhang, et al.. (2019). Effects of multiple environmental factors on the elimination of methomyl in aquaculture water. Aquaculture Environment Interactions. 11. 213–220. 2 indexed citations
6.
Li, Fang, et al.. (2018). Research progress on the 14-3-3 protein involved in plant responses to abiotic stress.. Plant Science Journal. 36(3). 459–469. 1 indexed citations
7.
Li, Jianming, Liang Tang, Yan Wang, et al.. (2017). Genetic Associations and Interactions Between the NR3C1 ( GR ) and NR3C2 ( MR ) Genes and Aggressive Behavior in a Central South Chinese Han Population. Genetic Testing and Molecular Biomarkers. 21(8). 497–505. 5 indexed citations
8.
Li, Fang, et al.. (2016). RESEARCH ON THE REVISION OF GRATELOUPIA FASTIGIATA LI ET DING (RHODOPHYTA,HALYMENIACEAE) BASED ON MORPHOLOGICAL OBSERVATIONS AND RBCL SEQUENCE ANALYSES. Acta Hydrobiologica Sinica. 40(6). 1249–1256. 4 indexed citations
9.
Li, Fang, Qiong Chen, Keren Shi, et al.. (2016). Step-Wise Increase in Tigecycline Resistance in Klebsiella pneumoniae Associated with Mutations in ramR, lon and rpsJ. PLoS ONE. 11(10). e0165019–e0165019. 46 indexed citations
10.
Li, Fang, et al.. (2013). Quantitative Assessment of the Association Between the GSTM1-Null Genotype and the Risk of Childhood Asthma. Genetic Testing and Molecular Biomarkers. 17(9). 656–661. 5 indexed citations
11.
Lin, Yansong, Jun Liang, Xiaoyi Li, et al.. (2012). The value of pre-ablation stimulated thyroglobulin in predicting distant metastasis of papillary thyroid cancer. 32(3). 189–191. 9 indexed citations
12.
Zhu, Qianqian, Na Li, Qunying Han, et al.. (2012). Single-Nucleotide Polymorphism at CYP27B1- 1260, but Not VDR Taq I, Is Possibly Associated with Persistent Hepatitis B Virus Infection. Genetic Testing and Molecular Biomarkers. 16(9). 1115–1121. 11 indexed citations
13.
Dai, Ou, et al.. (2010). Polymorphism of prolactin gene and its relationship with prolificacy of small tail han sheep. Journal of Pharmaceutical and Biomedical Sciences. 222–227. 6 indexed citations
14.
Wang, Pingqing, et al.. (2009). Polymorphism of Progesterone Receptor Gene and Its Relationship with Litter Size of Jining Grey Goats. Zhongguo nongye Kexue. 42(5). 1768–1775. 1 indexed citations
15.
Li, Fang. (2009). Bone Morphogenetic Protein 15 as a Candidate Gene for Prolificacy of Jining Grey Goat. Xumu shouyi xuebao. 1 indexed citations
16.
Li, Yucheng, Fang Jin, Yan Du, et al.. (2008). Cementum and Periodontal Ligament–like Tissue Formation Induced Using Bioengineered Dentin. Tissue Engineering Part A. 14(10). 1731–1742. 18 indexed citations
17.
Li, Fang. (2007). A karyomorphological study in the monotypic genus Lamiophlomis and five species in Phlomis (Lamiaceae). Acta Phytotaxonomica Sinica. 4 indexed citations
18.
Xia, Yan, et al.. (2005). Construction of vector of multiple locus gene targeting on repetitive sequences of Siniperca chuatsi. Journal of Fishery Sciences of China.
19.
Xia, Dajing, Fang Li, & Jim Xiang. (2004). Engineered Fusion Hybrid Vaccine of IL-18 Gene-Modified Tumor Cells and Dendritic Cells Induces Enhanced Antitumor Immunity. Cancer Biotherapy and Radiopharmaceuticals. 19(3). 322–330. 29 indexed citations
20.
Huang, Hui, et al.. (2001). Neutrophils and B Cells Express XCR1 Receptor and Chemotactically Respond to Lymphotactin. Biochemical and Biophysical Research Communications. 281(2). 378–382. 55 indexed citations

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.

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