Ge‐Fei Hao

6.6k total citations · 2 hit papers
198 papers, 4.7k citations indexed

About

Ge‐Fei Hao is a scholar working on Molecular Biology, Plant Science and Organic Chemistry. According to data from OpenAlex, Ge‐Fei Hao has authored 198 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 91 papers in Molecular Biology, 48 papers in Plant Science and 38 papers in Organic Chemistry. Recurrent topics in Ge‐Fei Hao's work include Computational Drug Discovery Methods (37 papers), Pesticide and Herbicide Environmental Studies (18 papers) and RNA and protein synthesis mechanisms (16 papers). Ge‐Fei Hao is often cited by papers focused on Computational Drug Discovery Methods (37 papers), Pesticide and Herbicide Environmental Studies (18 papers) and RNA and protein synthesis mechanisms (16 papers). Ge‐Fei Hao collaborates with scholars based in China, United States and Montenegro. Ge‐Fei Hao's co-authors include Guang‐Fu Yang, Chen‐Yang Jia, Jing‐Fang Yang, Jingyi Li, Fengxu Wu, Fan Wang, Wen‐Chao Yang, Sheng‐Gang Yang, Chang‐Guo Zhan and Baoan Song and has published in prestigious journals such as Science, Journal of the American Chemical Society and Chemical Society Reviews.

In The Last Decade

Ge‐Fei Hao

184 papers receiving 4.6k citations

Hit Papers

A drug-likeness toolbox facilitates ADMET study in drug d... 2019 2026 2021 2023 2019 2024 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ge‐Fei Hao China 38 1.8k 1.3k 1.2k 705 561 198 4.7k
Mohamed F. Alajmi Saudi Arabia 45 2.6k 1.4× 1.1k 0.8× 1.1k 0.9× 921 1.3× 91 0.2× 280 6.9k
Ronald G. Duggleby Australia 47 4.2k 2.3× 1.5k 1.2× 630 0.5× 226 0.3× 582 1.0× 150 7.4k
Peter Macheroux Austria 49 4.9k 2.7× 1.1k 0.8× 1.1k 0.9× 73 0.1× 247 0.4× 205 7.1k
Ting Zhou Canada 48 1.9k 1.0× 4.3k 3.3× 187 0.2× 201 0.3× 164 0.3× 211 7.0k
Miki Akamatsu Japan 31 1.4k 0.8× 385 0.3× 375 0.3× 340 0.5× 88 0.2× 103 2.8k
Yoshiaki Nakagawa Japan 34 1.4k 0.7× 494 0.4× 577 0.5× 202 0.3× 60 0.1× 215 4.2k
Diogo Santos‐Martins United States 16 2.7k 1.5× 315 0.2× 1.0k 0.8× 1.1k 1.6× 88 0.2× 30 5.0k
Ding Li China 32 1.4k 0.8× 492 0.4× 687 0.6× 285 0.4× 152 0.3× 219 3.3k
Yang Cao China 29 2.0k 1.1× 605 0.5× 270 0.2× 524 0.7× 52 0.1× 186 4.2k
Zheng Li China 38 2.1k 1.1× 899 0.7× 305 0.3× 227 0.3× 46 0.1× 224 4.3k

Countries citing papers authored by Ge‐Fei Hao

Since Specialization
Citations

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

Fields of papers citing papers by Ge‐Fei Hao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ge‐Fei Hao. 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 Ge‐Fei Hao. The network helps show where Ge‐Fei Hao may publish in the future.

Co-authorship network of co-authors of Ge‐Fei Hao

This figure shows the co-authorship network connecting the top 25 collaborators of Ge‐Fei Hao. A scholar is included among the top collaborators of Ge‐Fei Hao 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 Ge‐Fei Hao. Ge‐Fei Hao 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.
Han, Xiao, Min Li, Nir Ohad, & Ge‐Fei Hao. (2025). Genetically encoded biosensors for spatiotemporal monitoring of plant proteins in growth and stress responses. 4(3). 177–187. 3 indexed citations
2.
Wu, Xingcai, Jiawei Zhang, Zhilong Zou, et al.. (2025). PlantIF: Multimodal semantic interactive fusion via graph learning for plant disease diagnosis. Plant Phenomics. 8(1). 100132–100132.
3.
Chen, Xue, Run Yang, Min Liu, et al.. (2025). From Natural Product Derivative to Hexagonal Prism Supermolecule: Potent Biofilm Disintegration, Enhanced Foliar Affinity, and Effective Management of Tomato Bacterial Canker. Angewandte Chemie International Edition. 64(8). e202416079–e202416079. 6 indexed citations
5.
Yang, Xue, Min Li, Yan Liu, et al.. (2024). Unraveling the secrets: Evolution of resistance mediated by membrane proteins. Drug Resistance Updates. 77. 101140–101140. 12 indexed citations
6.
Gao, Yangyang, Huimin Chen, Wei‐Cheng Yang, et al.. (2024). New avenues of combating antibiotic resistance by targeting cryptic pockets. Pharmacological Research. 210. 107495–107495. 4 indexed citations
7.
Li, Shiguang, et al.. (2024). N-Heterocyclic Carbene-Catalyzed Remote Enantioselective C–C Bond Formation via 1,6-Addition with Formyl Enynes. ACS Catalysis. 14(3). 2127–2133. 18 indexed citations
8.
Wang, Zhi-Zheng, Min‐Jie Cao, Junjie Yan, et al.. (2024). Stabilization of dimeric PYR/PYL/RCAR family members relieves abscisic acid-induced inhibition of seed germination. Nature Communications. 15(1). 8077–8077. 11 indexed citations
9.
Zhao, Zhichao, et al.. (2024). Chemical Driving the Subtype Selectivity of Phytohormone Receptors Is Beneficial for Crop Productivity. Journal of Agricultural and Food Chemistry. 72(30). 16583–16593. 2 indexed citations
10.
Sun, He, Shuo Yu, Lei Lian, et al.. (2024). Physiological Basis for the Mechanism of Selectivity of Tripyrasulfone between Rice (Oryza sativa) and Barnyard Grass (Echinochloa crus-galli). Journal of Agricultural and Food Chemistry. 72(25). 14402–14410. 4 indexed citations
11.
Wang, Wei, et al.. (2024). Unveiling the dual activation effect of NHC-catalyst in an asymmetric reaction system. Organic Chemistry Frontiers. 11(14). 3929–3938. 1 indexed citations
12.
Chen, Zhongyin, Xiao Zhang, Meng Zhang, et al.. (2024). Design, Synthesis, and Herbicidal Activity of Substituted 3-(Pyridin-2-yl)Phenylamino Derivatives. Journal of Agricultural and Food Chemistry. 72(5). 2501–2511. 8 indexed citations
13.
Hao, Ge‐Fei, et al.. (2024). Fluorescent chemosensors facilitate the visualization of plant health and their living environment in sustainable agriculture. Chemical Society Reviews. 53(13). 6992–7090. 37 indexed citations
14.
Chen, Huimin, Jiaxin Liu, G. Y. Tang, Ge‐Fei Hao, & Guang‐Fu Yang. (2024). Bioinformatic Resources for Exploring Human–virus Protein–protein Interactions Based on Binding Modes. Genomics Proteomics & Bioinformatics. 22(5). 1 indexed citations
15.
Wu, Xue, Hongyu Deng, Qi Wang, et al.. (2023). Meta‐learning shows great potential in plant disease recognition under few available samples. The Plant Journal. 114(4). 767–782. 17 indexed citations
16.
Liu, Yingwei, et al.. (2023). GIFTdb: a useful gene database for plant fruit traits improving. The Plant Journal. 116(4). 1030–1040.
17.
Jiang, Shichun, Chengli Mou, Juan Zou, et al.. (2023). Facile access to benzofuran derivatives through radical reactions with heteroatom-centered super-electron-donors. Nature Communications. 14(1). 7381–7381. 3 indexed citations
18.
Shi, Xing-Xing, Zhi-Zheng Wang, Fan Wang, Ge‐Fei Hao, & Guang‐Fu Yang. (2023). ACFIS 2.0: an improved web-server for fragment-based drug discovery via a dynamic screening strategy. Nucleic Acids Research. 51(W1). W25–W32. 16 indexed citations
19.
Mei, Long‐Can, Ge‐Fei Hao, & Guang‐Fu Yang. (2022). Thermodynamic database supports deciphering protein–nucleic acid interactions. Trends in biotechnology. 41(2). 140–143. 5 indexed citations
20.
Hao, Ge‐Fei, et al.. (2020). Design, Synthesis, and Structure–Activity Relationship of Economical Triazole Sulfonamide Aryl Derivatives with High Fungicidal Activity. Journal of Agricultural and Food Chemistry. 68(25). 6792–6801. 39 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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