Yuhua Chang

1.9k total citations
31 papers, 1.5k citations indexed

About

Yuhua Chang is a scholar working on Molecular Biology, Food Science and Organic Chemistry. According to data from OpenAlex, Yuhua Chang has authored 31 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 8 papers in Food Science and 7 papers in Organic Chemistry. Recurrent topics in Yuhua Chang's work include Antimicrobial agents and applications (6 papers), Advanced biosensing and bioanalysis techniques (6 papers) and Proteins in Food Systems (5 papers). Yuhua Chang is often cited by papers focused on Antimicrobial agents and applications (6 papers), Advanced biosensing and bioanalysis techniques (6 papers) and Proteins in Food Systems (5 papers). Yuhua Chang collaborates with scholars based in China, United States and Taiwan. Yuhua Chang's co-authors include David Julian McClements, Lynne McLandsborough, Khalid Ziani, Nils Fischer, Zhong‐Nan Yang, Jun Zhu, Qiu Nong-xue, Ting Liang, Shanguang Guo and Shengzhou Wu and has published in prestigious journals such as PLoS ONE, PLANT PHYSIOLOGY and Journal of Agricultural and Food Chemistry.

In The Last Decade

Yuhua Chang

30 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yuhua Chang China 18 872 451 287 227 187 31 1.5k
Eduardo Basílio de Oliveira Brazil 24 1.1k 1.2× 595 1.3× 286 1.0× 106 0.5× 198 1.1× 77 2.0k
Patrick Fustier Canada 25 1.6k 1.8× 338 0.7× 232 0.8× 98 0.4× 134 0.7× 38 2.0k
Riitta Partanen Finland 25 1.4k 1.6× 285 0.6× 263 0.9× 98 0.4× 285 1.5× 49 2.2k
Guifang Tian China 25 776 0.9× 404 0.9× 488 1.7× 112 0.5× 216 1.2× 52 1.6k
İbrahim Gülseren Türkiye 17 944 1.1× 350 0.8× 112 0.4× 106 0.5× 99 0.5× 51 1.5k
Sang‐Gi Min South Korea 23 1.1k 1.2× 301 0.7× 168 0.6× 79 0.3× 213 1.1× 91 1.7k
Huaiqiong Chen United States 17 830 1.0× 397 0.9× 194 0.7× 647 2.9× 169 0.9× 30 1.7k
Ali Sedaghat Doost Belgium 23 1.5k 1.7× 315 0.7× 282 1.0× 108 0.5× 204 1.1× 37 1.9k
Mohanad Bashari China 19 614 0.7× 274 0.6× 220 0.8× 78 0.3× 238 1.3× 39 1.3k
Rong Liang China 30 1.8k 2.1× 665 1.5× 246 0.9× 169 0.7× 273 1.5× 56 2.7k

Countries citing papers authored by Yuhua Chang

Since Specialization
Citations

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

Fields of papers citing papers by Yuhua Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yuhua Chang

This figure shows the co-authorship network connecting the top 25 collaborators of Yuhua Chang. A scholar is included among the top collaborators of Yuhua Chang 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 Yuhua Chang. Yuhua Chang 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.
Yao, Cheng, Yuhua Chang, Zhihao Zhang, et al.. (2023). Photoelectrochemical biosensor based on SiW12@CdS quantum dots for the highly sensitive detection of HPV 16 DNA. Frontiers in Bioengineering and Biotechnology. 11. 1193052–1193052. 5 indexed citations
2.
Chang, Yuhua, et al.. (2022). The Effects of High-Intensity Power Training versus Traditional Resistance Training on Exercise Performance. International Journal of Environmental Research and Public Health. 19(15). 9400–9400. 11 indexed citations
3.
4.
Lin, Hung‐Yin, James L. Thomas, Jiaxin Yu, et al.. (2021). Embedded Upconversion Nanoparticles in Magnetic Molecularly Imprinted Polymers for Photodynamic Therapy of Hepatocellular Carcinoma. Biomedicines. 9(12). 1923–1923. 12 indexed citations
5.
Chien, Ke‐Hung, et al.. (2020). The impact of diabetes mellitus medication on the incidence of endogenous endophthalmitis. PLoS ONE. 15(1). e0227442–e0227442. 3 indexed citations
6.
Zhang, He, Liping Song, Yuhua Chang, et al.. (2017). Potential deficit from decreased cerebellar granule cell migration in serine racemase-deficient mice is reversed by increased expression of GluN2B and elevated levels of NMDAR agonists. Molecular and Cellular Neuroscience. 85. 119–126. 7 indexed citations
7.
Kuang, Xiuli, Yimei Liu, Yuhua Chang, et al.. (2016). Inhibition of store-operated calcium entry by sub-lethal levels of proteasome inhibition is associated with STIM1/STIM2 degradation. Cell Calcium. 59(4). 172–180. 13 indexed citations
8.
Jiang, Haiyan, et al.. (2015). Loss‐of‐function mutation of serine racemase attenuates excitotoxicity by intravitreal injection of N‐methyl‐D‐aspartate. Journal of Neurochemistry. 136(1). 186–193. 14 indexed citations
9.
10.
Chang, Yuhua, Lynne McLandsborough, & David Julian McClements. (2014). Fabrication, stability and efficacy of dual-component antimicrobial nanoemulsions: Essential oil (thyme oil) and cationic surfactant (lauric arginate). Food Chemistry. 172. 298–304. 118 indexed citations
11.
12.
Chang, Yuhua, Lynne McLandsborough, & David Julian McClements. (2013). Antimicrobial delivery systems based on electrostatic complexes of cationic ɛ-polylysine and anionic gum arabic. Food Hydrocolloids. 35. 137–143. 40 indexed citations
13.
Chang, Yuhua, et al.. (2012). Disruption of lmo1386, a putative DNA translocase gene, affects biofilm formation of Listeria monocytogenes on abiotic surfaces. International Journal of Food Microbiology. 161(3). 158–163. 11 indexed citations
14.
Ziani, Khalid, Yuhua Chang, Lynne McLandsborough, & David Julian McClements. (2011). Influence of Surfactant Charge on Antimicrobial Efficacy of Surfactant-Stabilized Thyme Oil Nanoemulsions. Journal of Agricultural and Food Chemistry. 59(11). 6247–6255. 207 indexed citations
15.
Chang, Yuhua, et al.. (2011). Identification of genes involved in Listeria monocytogenes biofilm formation by mariner-based transposon mutagenesis. Applied Microbiology and Biotechnology. 93(5). 2051–2062. 46 indexed citations
16.
Chang, Yuhua, Lynne McLandsborough, & David Julian McClements. (2011). Interactions of a Cationic Antimicrobial (ε-Polylysine) with an Anionic Biopolymer (Pectin): An Isothermal Titration Calorimetry, Microelectrophoresis, and Turbidity Study. Journal of Agricultural and Food Chemistry. 59(10). 5579–5588. 60 indexed citations
17.
Zhang, Cheng, Yuhua Chang, Jun Zhu, et al.. (2011). NO PRIMEXINE AND PLASMA MEMBRANE UNDULATION Is Essential for Primexine Deposition and Plasma Membrane Undulation during Microsporogenesis in Arabidopsis. PLANT PHYSIOLOGY. 158(1). 264–272. 63 indexed citations
18.
Chang, Yuhua, Lynne McLandsborough, & David Julian McClements. (2011). Physicochemical Properties and Antimicrobial Efficacy of Electrostatic Complexes Based on Cationic ε-Polylysine and Anionic Pectin. Journal of Agricultural and Food Chemistry. 59(12). 6776–6782. 55 indexed citations
19.
20.
Zhu, Jun, Guoqiang Zhang, Yuhua Chang, et al.. (2010). AtMYB103 is a crucial regulator of several pathways affecting Arabidopsis anther development. Science China Life Sciences. 53(9). 1112–1122. 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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