Hua Gao

1.3k total citations · 1 hit paper
19 papers, 1.0k citations indexed

About

Hua Gao is a scholar working on Molecular Biology, Plant Science and Insect Science. According to data from OpenAlex, Hua Gao has authored 19 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 7 papers in Plant Science and 5 papers in Insect Science. Recurrent topics in Hua Gao's work include Insect-Plant Interactions and Control (5 papers), Plant Parasitism and Resistance (4 papers) and Genomics and Phylogenetic Studies (3 papers). Hua Gao is often cited by papers focused on Insect-Plant Interactions and Control (5 papers), Plant Parasitism and Resistance (4 papers) and Genomics and Phylogenetic Studies (3 papers). Hua Gao collaborates with scholars based in China, United States and South Korea. Hua Gao's co-authors include Tiancong Qi, Huang Huang, Susheng Song, Daoxin Xie, Dewei Wu, Bei Liu, Yule Liu, Jiaojiao Wang, Jiaojiao Wang and Shuhua Yang and has published in prestigious journals such as PLoS ONE, The Plant Cell and Chemosphere.

In The Last Decade

Hua Gao

18 papers receiving 1.0k citations

Hit Papers

Interaction between MYC2 ... 2014 2026 2018 2022 2014 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Interaction between MYC2 and ETHYLENE INSENSITIVE3 Modulates Antagonism between Jasmonate and Ethylene Signaling inArabidopsis   
    2014 322 citations Susheng Song, Huang Huang et al. The Plant Cell profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hua Gao China 10 818 532 295 115 30 19 1.0k
Pei Liu China 19 928 1.1× 869 1.6× 122 0.4× 328 2.9× 64 2.1× 38 1.3k
Lun Liu China 18 752 0.9× 667 1.3× 55 0.2× 37 0.3× 66 2.2× 51 1.1k
Pankaj Barah India 13 592 0.7× 483 0.9× 70 0.2× 28 0.2× 46 1.5× 34 895
Paul Kenton United Kingdom 11 1.4k 1.7× 490 0.9× 258 0.9× 98 0.9× 14 0.5× 17 1.6k
Divya Chandran India 17 847 1.0× 315 0.6× 99 0.3× 45 0.4× 22 0.7× 32 1.0k
Tianlong Wu China 14 485 0.6× 316 0.6× 53 0.2× 37 0.3× 14 0.5× 26 636
Yan Chun China 13 607 0.7× 291 0.5× 146 0.5× 59 0.5× 73 2.4× 20 713
Caroline M. Calvert United Kingdom 7 699 0.9× 424 0.8× 226 0.8× 88 0.8× 11 0.4× 7 910
Liang‐Jiao Xue China 16 837 1.0× 604 1.1× 44 0.1× 34 0.3× 87 2.9× 38 1.1k

Countries citing papers authored by Hua Gao

Since Specialization
Citations

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

Fields of papers citing papers by Hua Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Gao

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

All Works

19 of 19 papers shown
1.
2.
Gao, Hua, et al.. (2024). Recognition of the Novel DPA1*02:01:01:39 Allele Through Third‐Generation HLA‐Targeted Sequencing Technology. HLA. 104(6). e15798–e15798. 1 indexed citations
3.
Gao, Hua, Peng Gao, & Ning Ye. (2023). A method for evaluating of RNA’s coding potential using the interaction effects of open reading frames and high-energy scalograms. Computers in Biology and Medicine. 168. 107752–107752.
4.
Gao, Hua, Peng Gao, & Ning Ye. (2023). Prelnc2: A prediction tool for lncRNAs with enhanced multi-level features of RNAs. PLoS ONE. 18(6). e0286377–e0286377. 3 indexed citations
5.
Wang, Yuanji, Li Liu, Yu Hu, et al.. (2022). The spatio-temporal change in soil P and P-solubilizing bacteria under clover mulching in apple orchards of Loess Plateau. Chemosphere. 304. 135334–135334. 9 indexed citations
6.
Gao, Hua, et al.. (2022). Mechanisms of the Jian Pi Tiao Gan Yin in the treatment of simple obesity revealed by network pharmacology. Annals of Translational Medicine. 10(6). 335–335. 5 indexed citations
7.
Wu, Hainan, Dan Yao, Yuhua Chen, et al.. (2019). De Novo Genome Assembly of Populus simonii Further Supports That Populus simonii and Populus trichocarpa Belong to Different Sections. G3 Genes Genomes Genetics. 10(2). 455–466. 31 indexed citations
8.
Xiao, Xiao, Shixuan Wang, Hua Gao, et al.. (2019). Bif-1 Interacts with Prohibitin-2 to Regulate Mitochondrial Inner Membrane during Cell Stress and Apoptosis. PMC. 1 indexed citations
9.
Guo, Yadong, L. Wang, Hua Yan, et al.. (2019). Genomic variants associated with the number and diameter of muscle fibers in pigs as revealed by a genome-wide association study. animal. 14(3). 475–481. 14 indexed citations
10.
Cho, Sung-Gyu, Xiao Xiao, Shixuan Wang, et al.. (2019). Bif-1 Interacts with Prohibitin-2 to Regulate Mitochondrial Inner Membrane during Cell Stress and Apoptosis. Journal of the American Society of Nephrology. 30(7). 1174–1191. 28 indexed citations
11.
Li, Yang, Tiancong Qi, Hua Gao, et al.. (2018). The C-terminal domains ofArabidopsisGL3/EGL3/TT8 interact with JAZ proteins and mediate dimeric interactions. Plant Signaling & Behavior. 13(1). e1422460–e1422460. 26 indexed citations
12.
Yao, Dan, et al.. (2018). gmRAD: an integrated SNP calling pipeline for genetic mapping with RADseq across a hybrid population. Briefings in Bioinformatics. 21(1). 329–337. 3 indexed citations
13.
Zhang, Kecheng, Zheng Peng, Xiaohui Huang, et al.. (2017). Phase II Trial of Adjuvant Immunotherapy with Autologous Tumor-derived Gp96 Vaccination in Patients with Gastric Cancer. Journal of Cancer. 8(10). 1826–1832. 22 indexed citations
14.
Huang, Huang, Hua Gao, Bei Liu, et al.. (2017). Arabidopsis MYB24 Regulates Jasmonate-Mediated Stamen Development. Frontiers in Plant Science. 8. 1525–1525. 62 indexed citations
15.
16.
Qi, Tiancong, Jiaojiao Wang, Huang Huang, et al.. (2015). Regulation of Jasmonate-Induced Leaf Senescence by Antagonism between bHLH Subgroup IIIe and IIId Factors in Arabidopsis. The Plant Cell. 27(6). 1634–1649. 245 indexed citations
17.
Song, Susheng, Huang Huang, Hua Gao, et al.. (2014). Interaction between MYC2 and ETHYLENE INSENSITIVE3 Modulates Antagonism between Jasmonate and Ethylene Signaling inArabidopsis   . The Plant Cell. 26(1). 263–279. 322 indexed citations breakdown →
18.
Song, Susheng, Tiancong Qi, Meng Fan, et al.. (2013). The bHLH Subgroup IIId Factors Negatively Regulate Jasmonate-Mediated Plant Defense and Development. PLoS Genetics. 9(7). e1003653–e1003653. 240 indexed citations
19.
Liu, Kun & Hua Gao. (2005). Study on new technology of coating preservation of fish. Haiyang shuichan yanjiu. 26(4). 70–74. 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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