Yi Hua

474 total citations
40 papers, 339 citations indexed

About

Yi Hua is a scholar working on Molecular Biology, Computational Theory and Mathematics and Cancer Research. According to data from OpenAlex, Yi Hua has authored 40 papers receiving a total of 339 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 10 papers in Computational Theory and Mathematics and 6 papers in Cancer Research. Recurrent topics in Yi Hua's work include Computational Drug Discovery Methods (10 papers), Autophagy in Disease and Therapy (4 papers) and Microbial Natural Products and Biosynthesis (3 papers). Yi Hua is often cited by papers focused on Computational Drug Discovery Methods (10 papers), Autophagy in Disease and Therapy (4 papers) and Microbial Natural Products and Biosynthesis (3 papers). Yi Hua collaborates with scholars based in China, Hong Kong and Norway. Yi Hua's co-authors include Yanmin Zhang, Yadong Chen, Haichun Liu, Kun Wang, Biaoyan Du, Xingye Chen, Chenglong Deng, Li Liang, Tao Lu and Tao Lu and has published in prestigious journals such as Journal of Biological Chemistry, Scientific Reports and Physical Chemistry Chemical Physics.

In The Last Decade

Yi Hua

37 papers receiving 336 citations

Peers

Yi Hua

CTM

ONCOL

PHARM

Sheng Yao China

Xinyuan Yu China

Bibekananda Sarkar India

Xiaojing Yuan China

Madhu Sudhana Saddala United States

Huahui Zeng China

Junlong Zhu China

Fengchao Jiang China

Meimei Zhao China

Xiao‐Xi Guo China

Sheng Yao China

Yi Hua

283 ×1.5

84 ×1.1

CTM

36 ×0.8

ONCOL

53 ×1.3

PHARM

52 ×1.4

Citations per year, relative to Yi Hua Yi Hua (= 1×) peers Sheng Yao

Countries citing papers authored by Yi Hua

Since Specialization

Citations

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

Fields of papers citing papers by Yi Hua

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yi Hua

This figure shows the co-authorship network connecting the top 25 collaborators of Yi Hua. A scholar is included among the top collaborators of Yi Hua 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 Yi Hua. Yi Hua 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

Hua, Yi, et al.. (2025). The Pathogenic Fungal Genus Corynespora: A Prolific Source of Bioactive Secondary Metabolites. Journal of Natural Products. 88(5). 1259–1269. 1 indexed citations

Zhang, Yanmin, Yi Hua, Wenhao Ji, et al.. (2025). Exploring MERTK inhibitor binding mechanisms: insights from adaptive steered molecular dynamics and free energy calculation. Journal of Biomolecular Structure and Dynamics. 43(13). 7199–7214. 1 indexed citations

Li, Xiong, et al.. (2025). Peripheral blood multimodal integration via cross-attention for cancer immune profiling. BMC Cancer. 25(1). 1523–1523.

Li, Xiaoqin, Fen Xiong, Tao Qing, et al.. (2024). A novel biomarker associated with EBV infection improves response prediction of immunotherapy in gastric cancer. Journal of Translational Medicine. 22(1). 90–90. 4 indexed citations

Hua, Yi, et al.. (2024). N6-methyladenosine modification of SLC38A7 promotes cell migration, invasion, oxidative phosphorylation, and mitochondrial function in gastric cancer. Journal of Biological Chemistry. 300(11). 107843–107843. 3 indexed citations

Gao, Leilei, Yanjun Jiang, Junjun Pan, et al.. (2024). Inhibition of Autophagy by Berbamine Hydrochloride Mitigates Tumor Immune Escape by Elevating MHC-I in Melanoma Cells. Cells. 13(18). 1537–1537. 7 indexed citations

Liao, Yuan, Yujiao Liu, Yue Song, et al.. (2023). Identification of Fangjihuangqi Decoction as a late-stage autophagy inhibitor with an adjuvant anti-tumor effect against non-small cell lung cancer. Chinese Medicine. 18(1). 68–68. 2 indexed citations

Deng, Chenglong, Li Liang, Yi Hua, et al.. (2022). Multi-channel GCN ensembled machine learning model for molecular aqueous solubility prediction on a clean dataset. Molecular Diversity. 27(3). 1023–1035. 7 indexed citations

Li, Chunlin, et al.. (2022). IncRNA Linc00511 Upregulation Elevates TGFBR1 and Participates in the Postoperative Distant Recurrence of Non-Small-Cell Lung Cancer by Targeting miR-98-5p. Critical Reviews in Eukaryotic Gene Expression. 32(5). 1–10. 7 indexed citations

10.

Hua, Yi, Haichun Liu, Tao Lu, et al.. (2022). Multimodal multi-task deep neural network framework for kinase–target prediction. Molecular Diversity. 27(6). 2491–2503. 3 indexed citations

11.

Xie, Qingqing, Xiao Feng, Yi Hua, et al.. (2021). Nogo‑66 promotes β‑amyloid protein secretion via NgR/ROCK‑dependent BACE1 activation. Molecular Medicine Reports. 23(3). 7 indexed citations

12.

Zhang, Mingliang, Cong Wang, Yi Hua, et al.. (2020). Design and synthesis of 1H-indazole-3-carboxamide derivatives as potent and selective PAK1 inhibitors with anti-tumour migration and invasion activities. European Journal of Medicinal Chemistry. 203. 112517–112517. 7 indexed citations

13.

Wu, Jia‐Ying, Hui Guo, Ying‐Jie Chen, et al.. (2020). Twenty-four-week oral dosing toxicities of Herba Siegesbeckiae in rats. BMC Complementary Medicine and Therapies. 20(1). 341–341. 8 indexed citations

14.

Zhang, Yanmin, Yi Hua, Yuchen Wang, et al.. (2019). Investigation of Machine Intelligence in Compound Cell Activity Classification. Molecular Pharmaceutics. 16(11). 4472–4484. 7 indexed citations

15.

Zhang, Yanmin, Mingliang Zhang, Xingye Chen, et al.. (2019). Protein–ligand interaction-guided discovery of novel VEGFR-2 inhibitors. Journal of Biomolecular Structure and Dynamics. 38(9). 2559–2574. 16 indexed citations

16.

Wang, Hongyang, et al.. (2019). The evaluation of embryotoxicity of Ligusticum chuanxiong on mice and embryonic stem cells. Journal of Ethnopharmacology. 239. 111895–111895. 14 indexed citations

17.

Hu, Yue, Zhengkun Hou, Jiaqi Liang, et al.. (2018). Prognostic Value of NRAS Gene for Survival of Colorectal Cancer Patients: A Systematic Review and Meta-Analysis. Asian Pacific Journal of Cancer Prevention. 19(11). 3001–3008. 10 indexed citations

18.

Xing, Shangping, et al.. (2017). Paeonol attenuates aging MRC-5 cells and inhibits epithelial–mesenchymal transition of premalignant HaCaT cells induced by aging MRC-5 cell-conditioned medium. Molecular and Cellular Biochemistry. 439(1-2). 117–129. 20 indexed citations

19.

Su, Tao, Yong Tan, Yi Hua, et al.. (2016). Metabolomics reveals the mechanisms for the cardiotoxicity of Pinelliae Rhizoma and the toxicity-reducing effect of processing. Scientific Reports. 6(1). 34692–34692. 37 indexed citations

20.

Hua, Yi. (2009). Effect of Resina Draconis on the Repair of Skin Defect Treated with Tissue Engineering Skin. Guangzhou Zhongyiyao Daxue xuebao. 3 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.

Explore authors with similar magnitude of impact