Pan Gao

1.2k total citations
47 papers, 785 citations indexed

About

Pan Gao is a scholar working on Molecular Biology, Plant Science and Immunology. According to data from OpenAlex, Pan Gao has authored 47 papers receiving a total of 785 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 15 papers in Plant Science and 10 papers in Immunology. Recurrent topics in Pan Gao's work include Greenhouse Technology and Climate Control (11 papers), CRISPR and Genetic Engineering (10 papers) and Leaf Properties and Growth Measurement (7 papers). Pan Gao is often cited by papers focused on Greenhouse Technology and Climate Control (11 papers), CRISPR and Genetic Engineering (10 papers) and Leaf Properties and Growth Measurement (7 papers). Pan Gao collaborates with scholars based in China, United States and Germany. Pan Gao's co-authors include Min Wu, Ping Lin, Qinqin Pu, Shugang Qin, Zhihan Wang, Kai Guo, Chuan‐Min Zhou, Ying Zhang, Miao Lu and Changqing Zhou and has published in prestigious journals such as Cell, Nucleic Acids Research and Nature Communications.

In The Last Decade

Pan Gao

45 papers receiving 774 citations

Peers

Pan Gao

IMMUN

ECOLO

GENET

Yuki Iwasaki Japan

Siliang Li China

Sicheng Miao China

Andrey Kechin Russia

Anh Dinh United States

Meysam Abbasi Canada

Chen Sun China

Bethany A. Rader United States

Xianbo Jia China

Yuki Iwasaki Japan

Pan Gao

484 ×1.1

102 ×0.7

IMMUN

69 ×0.5

88 ×0.8

ECOLO

105 ×1.1

GENET

Citations per year, relative to Pan Gao Pan Gao (= 1×) peers Yuki Iwasaki

Countries citing papers authored by Pan Gao

Since Specialization

Citations

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

Fields of papers citing papers by Pan Gao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pan Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Pan Gao. A scholar is included among the top collaborators of Pan 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 Pan Gao. Pan Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Li, Qiang, et al.. (2025). Research on Intention Recognition Methods based on Deep Learning. Scalable Computing Practice and Experience. 26(2). 1 indexed citations

Gao, Pan, et al.. (2025). A predictive model of photosynthetic rates for eggplants: Integrating physiological and environmental parameters. Computers and Electronics in Agriculture. 234. 110241–110241. 2 indexed citations

Cao, Guohua, Weiqiang Zhao, Pan Gao, et al.. (2024). Epitope prime editing shields hematopoietic cells from CD123 immunotherapy for acute myeloid leukemia. Cell stem cell. 31(11). 1650–1666.e8. 9 indexed citations

Gao, Pan, Miao Lu, Huimin Li, et al.. (2023). Greenhouse environmental control target constrained by discrete surface curvature and multi-objective optimization algorithm. Computers and Electronics in Agriculture. 215. 108431–108431. 1 indexed citations

Gao, Pan, et al.. (2023). Multistep ahead prediction of temperature and humidity in solar greenhouse based on FAM-LSTM model. Computers and Electronics in Agriculture. 213. 108261–108261. 32 indexed citations

Zhou, Changqing, Pan Gao, & Jianlin Wang. (2023). Comprehensive Analysis of Microbiome, Metabolome, and Transcriptome Revealed the Mechanisms of Intestinal Injury in Rainbow Trout under Heat Stress. International Journal of Molecular Sciences. 24(10). 8569–8569. 18 indexed citations

Lin, Ping, Guanwang Shen, Kai Guo, et al.. (2022). Type III CRISPR-based RNA editing for programmable control of SARS-CoV-2 and human coronaviruses. Nucleic Acids Research. 50(8). e47–e47. 15 indexed citations

Qin, Shugang, Yongan Liu, Yuting Chen, et al.. (2022). Engineered Bacteriophages Containing Anti-CRISPR Suppress Infection of Antibiotic-Resistant P. aeruginosa. Microbiology Spectrum. 10(5). e0160222–e0160222. 32 indexed citations

Wang, Biao, Chuan‐Min Zhou, Qun Wu, et al.. (2022). cGAS modulates cytokine secretion and bacterial burdens by altering the release of mitochondrial DNA in pseudomonas pulmonary infection. Immunology. 166(3). 408–423. 7 indexed citations

10.

Wang, Jinlin, Guoquan Wang, Ruiwen Zhang, et al.. (2022). Efficient targeted insertion of large DNA fragments without DNA donors. Nature Methods. 19(3). 331–340. 113 indexed citations

11.

Chen, Feng, Jianbo Li, Xiefang Yuan, et al.. (2021). Novel Lytic Phages Protect Cells and Mice against Pseudomonas aeruginosa Infection. Journal of Virology. 95(8). 30 indexed citations

12.

Cui, Luqing, Xiangru Wang, Yue Zhao, et al.. (2021). Virulence Comparison of Salmonella enterica Subsp. enterica Isolates from Chicken and Whole Genome Analysis of the High Virulent Strain S. Enteritidis 211. Microorganisms. 9(11). 2239–2239. 10 indexed citations

13.

Pu, Qinqin, Kai Guo, Ping Lin, et al.. (2021). Bitter receptor TAS2R138 facilitates lipid droplet degradation in neutrophils during Pseudomonas aeruginosa infection. Signal Transduction and Targeted Therapy. 6(1). 210–210. 15 indexed citations

14.

Pu, Qinqin, Ping Lin, Pan Gao, et al.. (2021). Gut Microbiota Regulate Gut–Lung Axis Inflammatory Responses by Mediating ILC2 Compartmental Migration. The Journal of Immunology. 207(1). 257–267. 65 indexed citations

15.

Qin, Shugang, Ping Lin, Qun Wu, et al.. (2020). Small-Molecule Inhibitor of 8-Oxoguanine DNA Glycosylase 1 Regulates Inflammatory Responses during Pseudomonas aeruginosa Infection. The Journal of Immunology. 205(8). 2231–2242. 31 indexed citations

16.

Lin, Ping, Shugang Qin, Qinqin Pu, et al.. (2020). CRISPR-Cas13 Inhibitors Block RNA Editing in Bacteria and Mammalian Cells. Molecular Cell. 78(5). 850–861.e5. 70 indexed citations

17.

Huang, Ting, Qinqin Pu, Chuan‐Min Zhou, et al.. (2020). MicroRNA-302/367 Cluster Impacts Host Antimicrobial Defense via Regulation of Mitophagic Response Against Pseudomonas aeruginosa Infection. Frontiers in Immunology. 11. 569173–569173. 23 indexed citations

18.

Lin, Ping, Qinqin Pu, Qun Wu, et al.. (2019). High-throughput screen reveals sRNAs regulating crRNA biogenesis by targeting CRISPR leader to repress Rho termination. Nature Communications. 10(1). 3728–3728. 32 indexed citations

19.

Wu, Qun, Biao Wang, Chuan‐Min Zhou, et al.. (2019). Bacterial Type I CRISPR‐Cas systems influence inflammasome activation in mammalian host by promoting autophagy. Immunology. 158(3). 240–251. 10 indexed citations

20.

Zhang, Qıang, Fei Xu, Pan Gao, et al.. (2019). Improved detection of common variants in coronary artery disease and blood pressure using a pleiotropy cFDR method. Scientific Reports. 9(1). 10340–10340. 2 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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