Xiaodan Hu

769 total citations · 1 hit paper
50 papers, 558 citations indexed

About

Xiaodan Hu is a scholar working on Molecular Biology, Insect Science and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Xiaodan Hu has authored 50 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Molecular Biology, 11 papers in Insect Science and 10 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Xiaodan Hu's work include Insect Resistance and Genetics (16 papers), Insect and Pesticide Research (10 papers) and Monoclonal and Polyclonal Antibodies Research (10 papers). Xiaodan Hu is often cited by papers focused on Insect Resistance and Genetics (16 papers), Insect and Pesticide Research (10 papers) and Monoclonal and Polyclonal Antibodies Research (10 papers). Xiaodan Hu collaborates with scholars based in China, South Africa and United States. Xiaodan Hu's co-authors include Ying Zhu, Xianjin Liu, Jianfeng Zhong, Yuan Liu, Chongxin Xu, Man Li, Chunhua Chen, Cunzheng Zhang, Weiguang Zhang and Yin Li and has published in prestigious journals such as Environmental Science & Technology, Analytical Biochemistry and Journal of Agricultural and Food Chemistry.

In The Last Decade

Xiaodan Hu

47 papers receiving 555 citations

Hit Papers

Application of Natural Antioxidants as Feed Additives in ... 2025 2026 2025 5 10 15 20

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xiaodan Hu China 15 308 79 68 63 57 50 558
Haiyang He China 18 218 0.7× 28 0.4× 56 0.8× 42 0.7× 29 0.5× 45 734
Bibin B. Andriana Japan 14 102 0.3× 51 0.6× 14 0.2× 45 0.7× 28 0.5× 50 458
Bosung Kim South Korea 12 217 0.7× 31 0.4× 8 0.1× 60 1.0× 63 1.1× 31 536
Katarzyna Bednarska Poland 15 164 0.5× 31 0.4× 144 2.1× 52 0.8× 26 0.5× 40 630
Florian Weiland Australia 14 375 1.2× 24 0.3× 33 0.5× 17 0.3× 33 0.6× 30 690
Cong Han China 14 250 0.8× 56 0.7× 8 0.1× 21 0.3× 17 0.3× 38 608
Penggang Liu China 13 158 0.5× 15 0.2× 11 0.2× 41 0.7× 37 0.6× 47 610
Wen‐Long Lei China 14 286 0.9× 23 0.3× 7 0.1× 39 0.6× 57 1.0× 47 578
Larry G. Lomax United States 12 63 0.2× 22 0.3× 27 0.4× 43 0.7× 70 1.2× 20 616
Shi Shi China 13 142 0.5× 19 0.2× 15 0.2× 15 0.2× 17 0.3× 147 577

Countries citing papers authored by Xiaodan Hu

Since Specialization
Citations

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

Fields of papers citing papers by Xiaodan Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xiaodan Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaodan Hu. A scholar is included among the top collaborators of Xiaodan Hu 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 Xiaodan Hu. Xiaodan Hu 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.
Huang, Yi, Tao Li, Xiaodan Hu, et al.. (2025). Dopaminergic system disruption induced by envrionmentally-realistic glyphosate leads to behavioral alteration in crayfish, Procambarus clarkii. Ecotoxicology and Environmental Safety. 301. 118509–118509. 1 indexed citations
2.
Meng, Meng, Jiafeng Jin, Wei Chen, et al.. (2024). Characterization of the individual domains of the Bacillus thuringiensis Cry2Aa implicates Domain I as a possible binding site to Helicoverpa armigera. Journal of Invertebrate Pathology. 205. 108129–108129.
3.
Hu, Xiaodan, Weiyi Zhang, Ting Yuan, Jie Wang, & Lixin Tao. (2024). Evolving pathogen trends and spatial–temporal dynamics of hand, foot, and mouth disease in Fengxian District, Shanghai (2009–2022). Scientific Reports. 14(1). 20398–20398. 1 indexed citations
5.
Liu, Yuan, Meng Meng, Xiao Zhang, et al.. (2023). Generation of anti-idiotypic antibodies mimicking Cry2Aa toxin from an immunized mouse phage display library as potential insecticidal agents against Plutella xylostella. Biochemical and Biophysical Research Communications. 691. 149308–149308.
6.
Ye, Jingjing, Xiaodan Hu, Zhiwei Wang, et al.. (2023). The role of mtDAMPs in the trauma-induced systemic inflammatory response syndrome. Frontiers in Immunology. 14. 20 indexed citations
7.
Hu, Xiaodan, et al.. (2023). The role of ferroptosis and its mechanism in ischemic stroke. Experimental Neurology. 372. 114630–114630. 60 indexed citations
8.
Meng, Meng, Jiafeng Jin, Xiaodan Hu, et al.. (2023). Establishment of novel receptor-antibody sandwich assays to broadly detect Bacillus thuringiensis Cry1 and Cry2 toxins. International Journal of Biological Macromolecules. 254(Pt 3). 128034–128034. 6 indexed citations
10.
Xu, Chongxin, Ya‐Jing Xie, Jianfeng Zhong, et al.. (2022). Screening and identification of vancomycin anti-idiotypic antibodies for against Staphylococcus aureus from a human phage display domain antibody library. Immunology Letters. 246. 1–9. 1 indexed citations
11.
Zhu, Ying, et al.. (2021). Guizhi Fuling Wan reduces autophagy of granulosa cell in rats with polycystic ovary syndrome via restoring the PI3K/AKT/mTOR signaling pathway. Journal of Ethnopharmacology. 270. 113821–113821. 63 indexed citations
13.
He, Ya‐Ling, et al.. (2020). Probiotics for treating novel coronavirus with diarrhea. Medicine. 99(38). e21617–e21617. 3 indexed citations
14.
Hao, Jia, Meijing Gao, Xiaodan Hu, et al.. (2020). Synergistic selection of a Helicoverpa armigera cadherin fragment with Cry1Ac in different cells and insects. International Journal of Biological Macromolecules. 164. 3667–3675. 4 indexed citations
15.
Liu, Yuan, Dan Liu, Chen Shen, et al.. (2020). Construction and characterization of a class-specific single-chain variable fragment against pyrethroid metabolites. Applied Microbiology and Biotechnology. 104(17). 7345–7354. 14 indexed citations
17.
Liu, Yuan, Xifeng Zhang, Xiaodan Hu, et al.. (2017). Development of competitive ELISA for the detection of bovine serum albumin using single-chain variable fragments. Analytical Biochemistry. 525. 89–91. 6 indexed citations
18.
Zhong, Jianfeng, Xiaodan Hu, Xiao Zhang, et al.. (2017). Broad specificity immunoassay for detection of Bacillus thuringiensis Cry toxins through engineering of a single chain variable fragment with mutagenesis and screening. International Journal of Biological Macromolecules. 107(Pt A). 920–928. 13 indexed citations
19.
Liang, Ying, Yuan Liu, Xiao Zhang, et al.. (2016). Isolation of broad-specificity domain antibody from phage library for development of pyrethroid immunoassay. Analytical Biochemistry. 502. 1–7. 20 indexed citations
20.
Liu, Yuan, Aihua Wu, Jing Hu, et al.. (2015). Detection of 3-phenoxybenzoic acid in river water with a colloidal gold-based lateral flow immunoassay. Analytical Biochemistry. 483. 7–11. 40 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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