Hua Yao

866 total citations · 1 hit paper
18 papers, 764 citations indexed

About

Hua Yao is a scholar working on Molecular Biology, Biochemistry and Surgery. According to data from OpenAlex, Hua Yao has authored 18 papers receiving a total of 764 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 3 papers in Biochemistry and 2 papers in Surgery. Recurrent topics in Hua Yao's work include Polyamine Metabolism and Applications (8 papers), Amino Acid Enzymes and Metabolism (3 papers) and Chemical Synthesis and Analysis (3 papers). Hua Yao is often cited by papers focused on Polyamine Metabolism and Applications (8 papers), Amino Acid Enzymes and Metabolism (3 papers) and Chemical Synthesis and Analysis (3 papers). Hua Yao collaborates with scholars based in United States, China and New Zealand. Hua Yao's co-authors include Jinlan Jiang, Bai Yang, Haotong Wei, Shoujun Zhu, Daowei Li, Weiqing Xu, Kai Zhang, Junjun Liu, Yijia Geng and Zepeng Huo and has published in prestigious journals such as Advanced Materials, PLoS ONE and Journal of Medicinal Chemistry.

In The Last Decade

Hua Yao

18 papers receiving 754 citations

Hit Papers

align trajectories sort by overperformance

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.

Deep Red Emissive Carbonized Polymer Dots with Unprecedented Narrow Full Width at Half Maximum

2020 424 citations Junjun Liu, Yijia Geng et al. Advanced Materials profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hua Yao United States	12	446	238	101	66	52	18	764
Rohit Bavi India	15	233 0.5×	325 1.4×	162 1.6×	13 0.2×	27 0.5×	26	705
Jette Rahn Germany	6	89 0.2×	273 1.1×	119 1.2×	30 0.5×	27 0.5×	6	576
Yuting Du China	14	87 0.2×	298 1.3×	56 0.6×	76 1.2×	11 0.2×	46	650
Leilei Guo China	15	202 0.5×	257 1.1×	151 1.5×	12 0.2×	22 0.4×	35	703
Panfei Xing China	14	115 0.3×	142 0.6×	182 1.8×	105 1.6×	32 0.6×	19	640
Sheetal Chawla India	17	143 0.3×	336 1.4×	153 1.5×	25 0.4×	17 0.3×	22	1.0k
Sivakumar Allur Subramaniyan South Korea	12	151 0.3×	188 0.8×	69 0.7×	17 0.3×	6 0.1×	20	517
Xiang Zou United States	18	187 0.4×	456 1.9×	47 0.5×	75 1.1×	18 0.3×	35	715
Shiyao Fu China	15	126 0.3×	350 1.5×	269 2.7×	5 0.1×	34 0.7×	24	783

Countries citing papers authored by Hua Yao

Since Specialization

Citations

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

Fields of papers citing papers by Hua Yao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hua Yao

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

All Works

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18 of 18 papers shown

Jia, Lin, et al.. (2024). Correlation analysis of serum TLR4 protein levels and TLR4 gene polymorphisms in gouty arthritis patients. PLoS ONE. 19(4). e0300582–e0300582. 4 indexed citations

Yao, Hua, Xupeng Mu, Xiuying Li, et al.. (2022). Facile approach for surfactant-free synthesis of Au@ginsenoside Rh2 nanoparticles and researches on anticancer activity. Cancer Nanotechnology. 13(1). 3 indexed citations

Shao, Pu, Te Liu, Yeliang Wang, et al.. (2021). Osteomyelitis variolosa, an issue inherited from the past: case report and systematic review. Orphanet Journal of Rare Diseases. 16(1). 354–354. 6 indexed citations

Liu, Junjun, Yijia Geng, Daowei Li, et al.. (2020). Deep Red Emissive Carbonized Polymer Dots with Unprecedented Narrow Full Width at Half Maximum. Advanced Materials. 32(17). e2007162–e2007162. 424 indexed citations breakdown →

Yao, Hua, Jing Li, Yubin Song, et al.. (2018). Synthesis of ginsenoside Re-based carbon dots applied for bioimaging and effective inhibition of cancer cells. International Journal of Nanomedicine. Volume 13. 6249–6264. 59 indexed citations

Li, Fapeng, et al.. (2017). Effects of 1, 25-dihydroxyvitamin D3 on expression of TGF-β1, CD68 and MCP-1 in type 2 diabetic nephropathy rat. Biomedical Research-tokyo. 28(11). 4797–4802. 1 indexed citations

Yao, Hua, Ping Cui, Dan Xu, et al.. (2017). A water-soluble polysaccharide from the roots of Polygala tenuifolia suppresses ovarian tumor growth and angiogenesis in vivo. International Journal of Biological Macromolecules. 107(Pt A). 713–718. 31 indexed citations

Wang, Ning, et al.. (2013). Expression and activity of the TLR4/NF-κB signaling pathway in mouse intestine following administration of a short-term high-fat diet. Experimental and Therapeutic Medicine. 6(3). 635–640. 39 indexed citations

Joseph, Christine, et al.. (2010). γ2-Melanocyte stimulation hormone (γ2-MSH) truncation studies results in the cautionary note that γ2-MSH is not selective for the mouse MC3R over the mouse MC5R. Peptides. 31(12). 2304–2313. 19 indexed citations

10.

Bergeron, Raymond J., Jan Wiegand, James S. McManis, et al.. (2006). (S)-4,5-Dihydro-2-(2-hydroxy-4-hydroxyphenyl)-4-methyl-4-thiazolecarboxylic Acid Polyethers: A Solution to Nephrotoxicity. Journal of Medicinal Chemistry. 49(9). 2772–2783. 18 indexed citations

11.

Bergeron, Raymond J., Neelam Bharti, Jan Wiegand, et al.. (2005). Polyamine-Vectored Iron Chelators: The Role of Charge. Journal of Medicinal Chemistry. 48(12). 4120–4137. 17 indexed citations

12.

Bergeron, Raymond J., et al.. (2005). Synthesis and Biological Evaluation of Aminopolyamines. Journal of Medicinal Chemistry. 48(9). 3099–3102. 10 indexed citations

13.

Bergeron, Raymond J., et al.. (2003). Polyamine−Iron Chelator Conjugate. Journal of Medicinal Chemistry. 46(25). 5478–5483. 15 indexed citations

14.

Bergeron, Raymond J., et al.. (2001). Synthesis and Evaluation of Hydroxylated Polyamine Analogues as Antiproliferatives. Journal of Medicinal Chemistry. 44(15). 2451–2459. 18 indexed citations

15.

Bergeron, Raymond J., James S. McManis, Ronald L. Merriman, et al.. (1999). Synthesis and Evaluation of Hydroxylated Polyamine Analogues as Antiproliferatives. Journal of Medicinal Chemistry. 43(2). 224–235. 50 indexed citations

16.

Bergeron, Raymond J., et al.. (1998). Effect of Polyamine Analogues on Hypusine Content in JURKAT T-Cells. Journal of Medicinal Chemistry. 41(20). 3901–3908. 14 indexed citations

17.

Bergeron, Raymond J., et al.. (1998). Synthesis of Reagents for the Construction of Hypusine and Deoxyhypusine Peptides and Their Application as Peptidic Antigens. Journal of Medicinal Chemistry. 41(20). 3888–3900. 10 indexed citations

18.

Bergeron, Raymond J., Hua Yao, William R. Weimar, et al.. (1996). Metabolically Programmed Polyamine Analogue Antidiarrheals. Journal of Medicinal Chemistry. 39(13). 2461–2471. 26 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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