Lifang Gao

1.6k total citations
58 papers, 1.2k citations indexed

About

Lifang Gao is a scholar working on Ecology, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Lifang Gao has authored 58 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Ecology, 16 papers in Molecular Biology and 16 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Lifang Gao's work include Animal Behavior and Reproduction (14 papers), Avian ecology and behavior (13 papers) and Plant and animal studies (11 papers). Lifang Gao is often cited by papers focused on Animal Behavior and Reproduction (14 papers), Avian ecology and behavior (13 papers) and Plant and animal studies (11 papers). Lifang Gao collaborates with scholars based in China, United States and Bangladesh. Lifang Gao's co-authors include Xuejian Zhao, De-Qi Xu, Yueting Shao, Dennis J. Kopecko, Dhananjaya V. Kalvakolanu, Jiadi Hu, Kun Ji, Baofeng Guo, Lianji Wen and Yulu Zhou and has published in prestigious journals such as Journal of Clinical Investigation, PLoS ONE and Development.

In The Last Decade

Lifang Gao

55 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lifang Gao China 16 556 246 209 157 151 58 1.2k
A Negoescu France 15 775 1.4× 369 1.5× 164 0.8× 125 0.8× 82 0.5× 24 1.6k
Claire L. Simpson United States 17 324 0.6× 86 0.3× 188 0.9× 62 0.4× 67 0.4× 61 977
Luís Franco Spain 26 1.2k 2.2× 176 0.7× 120 0.6× 108 0.7× 37 0.2× 90 1.8k
Yuanyuan Ma China 30 1.2k 2.2× 549 2.2× 136 0.7× 779 5.0× 56 0.4× 109 2.3k
Apollonia Tullo Italy 24 1.2k 2.1× 370 1.5× 173 0.8× 288 1.8× 81 0.5× 63 1.7k
Christopher G. Langendorf Australia 22 1.1k 2.1× 128 0.5× 135 0.6× 282 1.8× 34 0.2× 33 1.9k
Hiroshi Yasuda Japan 24 1.1k 2.0× 177 0.7× 148 0.7× 160 1.0× 296 2.0× 50 1.8k
Stephanie A. Miller United States 26 1.2k 2.2× 651 2.6× 109 0.5× 460 2.9× 46 0.3× 44 2.3k
Richard G. Gardner United States 29 2.9k 5.2× 209 0.8× 192 0.9× 86 0.5× 124 0.8× 71 3.9k
Paulo César Maiorka Brazil 13 558 1.0× 194 0.8× 94 0.4× 387 2.5× 20 0.1× 48 1.5k

Countries citing papers authored by Lifang Gao

Since Specialization
Citations

This map shows the geographic impact of Lifang Gao'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 Lifang Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lifang Gao more than expected).

Fields of papers citing papers by Lifang Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lifang Gao. 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 Lifang Gao. The network helps show where Lifang Gao may publish in the future.

Co-authorship network of co-authors of Lifang Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Lifang Gao. A scholar is included among the top collaborators of Lifang Gao 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 Lifang Gao. Lifang Gao 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.
Gao, Lifang, et al.. (2024). Inability of recognizing offspring underlies parental errors in the selection of offspring. Avian Research. 16(1). 100218–100218. 1 indexed citations
2.
Wu, Zifeng, et al.. (2023). Adult tiger beetles Cicindela gemmata modify their foraging strategy in different hunting contexts. Insect Science. 30(6). 1749–1758. 2 indexed citations
3.
Ma, Xiaojun, Shaobo Zhou, Yujie Guo, et al.. (2023). Gender-specific association of SLC19A1 and MTHFR genetic polymorphism with oxidative stress biomarkers and plasma folate levels in older adults. Experimental Gerontology. 178. 112208–112208. 5 indexed citations
4.
Gao, Lifang, et al.. (2023). Giant babax (Babax waddelli) helpers cheat at provisioning nestlings in poor conditions. Behavioral Ecology and Sociobiology. 77(1). 1 indexed citations
5.
Gao, Lifang, et al.. (2021). Vitamin D3 alleviates cognitive impairment through regulating inflammatory stress in db/db mice. Food Science & Nutrition. 9(9). 4803–4814. 10 indexed citations
6.
Gao, Lifang, et al.. (2020). Fitness consequences of divorce in the azure-winged magpie depends on the breeding experience of a new mate. Current Zoology. 67(1). 17–25. 3 indexed citations
7.
Cai, Rong, Y Zhang, Jacob E. Simmering, et al.. (2019). Enhancing glycolysis attenuates Parkinson’s disease progression in models and clinical databases. Journal of Clinical Investigation. 129(10). 4539–4549. 196 indexed citations
8.
Gao, Lifang, et al.. (2018). High level of extrapair fertilization in individual Tibetan azure‐winged magpies and their adaptive responses. Journal of Avian Biology. 49(11). 7 indexed citations
9.
Su, Xiaole, Xi Qiao, Jing Li, et al.. (2017). Papulonodular mucinosis, Guillain-Barré syndrome and nephrotic syndrome in a patient with systemic lupus erythematosus: a case report. BMC Nephrology. 18(1). 43–43. 6 indexed citations
10.
Ning, Pengbo, Yulu Zhou, Lifang Gao, et al.. (2017). Unraveling the microRNA of Caragana korshinskii along a precipitation gradient on the Loess Plateau, China, using high-throughput sequencing. PLoS ONE. 12(2). e0172017–e0172017. 7 indexed citations
11.
Ning, Pengbo, Xuepeng Li, Yulu Zhou, et al.. (2017). Classical swine fever virus Shimen infection increases p53 signaling to promote cell cycle arrest in porcine alveolar macrophages. Oncotarget. 8(34). 55938–55949. 13 indexed citations
12.
Ning, Pengbo, Lifang Gao, Yulu Zhou, et al.. (2016). Caveolin-1-mediated endocytic pathway is involved in classical swine fever virus Shimen infection of porcine alveolar macrophages. Veterinary Microbiology. 195. 81–86. 28 indexed citations
13.
Wen, Lianji, Lifang Gao, Chunshun Jin, et al.. (2013). Small interfering RNA survivin and GRIM-19 co-expression salmonella plasmid inhibited the growth of laryngeal cancer cells in vitro and in vivo.. PubMed. 6(10). 2071–81. 11 indexed citations
14.
Yu, Hao, Yan Meng, Li‐Shun Wang, et al.. (2009). Differential protein expression in heart in UT‐B null mice with cardiac conduction defects. PROTEOMICS. 9(3). 504–511. 14 indexed citations
15.
Song, Lanying, Yunhong Li, Kai Wang, et al.. (2009). Lrp6-mediated canonical Wnt signaling is required for lip formation and fusion. Development. 136(18). 3161–3171. 128 indexed citations
16.
Yu, Dan, et al.. (2009). [Biological characteristics of highly tumorigenic CD44+CD133+ subpopulation of laryngeal carcinoma cells].. PubMed. 31(2). 99–103. 4 indexed citations
17.
Zhang, Ling, Lifang Gao, Yang Li, et al.. (2008). Effects of Plasmid-Based Stat3-Specific Short Hairpin RNA and GRIM-19 on PC-3M Tumor Cell Growth. Clinical Cancer Research. 14(2). 559–568. 70 indexed citations
18.
Xu, De-Qi, Ling Zhang, Dennis J. Kopecko, et al.. (2008). Bacterial Delivery of siRNAs: A New Approach to Solid Tumor Therapy. Methods in molecular biology. 487. 1–27. 20 indexed citations
19.
Zhang, Ling, Lifang Gao, Lijuan Zhao, et al.. (2007). Intratumoral Delivery and Suppression of Prostate Tumor Growth by Attenuated Salmonella enterica serovar typhimurium Carrying Plasmid-Based Small Interfering RNAs. Cancer Research. 67(12). 5859–5864. 118 indexed citations
20.
Alchanati, Iris, Shreeram C. Nallar, Peng Sun, et al.. (2006). A proteomic analysis reveals the loss of expression of the cell death regulatory gene GRIM-19 in human renal cell carcinomas. Oncogene. 25(54). 7138–7147. 76 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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