Ying Hua

495 total citations
8 papers, 368 citations indexed

About

Ying Hua is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Sensory Systems. According to data from OpenAlex, Ying Hua has authored 8 papers receiving a total of 368 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 2 papers in Cardiology and Cardiovascular Medicine and 2 papers in Sensory Systems. Recurrent topics in Ying Hua's work include Protein Hydrolysis and Bioactive Peptides (3 papers), Biochemical Analysis and Sensing Techniques (2 papers) and Olfactory and Sensory Function Studies (2 papers). Ying Hua is often cited by papers focused on Protein Hydrolysis and Bioactive Peptides (3 papers), Biochemical Analysis and Sensing Techniques (2 papers) and Olfactory and Sensory Function Studies (2 papers). Ying Hua collaborates with scholars based in China and Canada. Ying Hua's co-authors include Yali Dang, Daodong Pan, Xinchang Gao, Jun He, Zhu Liu, Bo Jiang, Yoshinori Mine, Ting Zhang, Wanmeng Mu and Changyu Zhou and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, Food Chemistry and Journal of the Science of Food and Agriculture.

In The Last Decade

Ying Hua

8 papers receiving 365 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ying Hua China	7	245	130	63	62	61	8	368
Daqiao Yang China	9	296 1.2×	189 1.5×	36 0.6×	217 3.5×	227 3.7×	12	526
Katsushige Kouge Japan	10	263 1.1×	135 1.0×	24 0.4×	87 1.4×	89 1.5×	21	364
Pieter D. van Wassenaar Netherlands	8	335 1.4×	231 1.8×	69 1.1×	238 3.8×	53 0.9×	14	547
Hidenori Kanehisa Japan	11	296 1.2×	176 1.4×	26 0.4×	131 2.1×	97 1.6×	19	398
Masanori Kohmura Japan	14	363 1.5×	202 1.6×	18 0.3×	95 1.5×	128 2.1×	31	496
Dunhua Liu China	11	173 0.7×	45 0.3×	21 0.3×	90 1.5×	144 2.4×	33	386
Takayasu Motoyama Japan	9	293 1.2×	74 0.6×	27 0.4×	123 2.0×	39 0.6×	14	435
Lin Wanling China	11	108 0.4×	57 0.4×	14 0.2×	106 1.7×	167 2.7×	25	382
Masanori MATSUISHI Japan	11	116 0.5×	57 0.4×	22 0.3×	79 1.3×	223 3.7×	27	337
Yinggang Tian China	6	96 0.4×	64 0.5×	15 0.2×	36 0.6×	108 1.8×	9	318

Countries citing papers authored by Ying Hua

Since Specialization

Citations

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

Fields of papers citing papers by Ying Hua

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ying Hua

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

All Works

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8 of 8 papers shown

Hu, Xiaoyue, Miao Jing, Yanping Wang, Yanshan Liu, & Ying Hua. (2023). Functional analysis of a novel de novo SCN2A variant in a patient with seizures refractory to oxcarbazepine. Frontiers in Molecular Neuroscience. 16. 1159649–1159649. 1 indexed citations

Zhang, Ting, Ying Hua, Changyu Zhou, et al.. (2022). Umami peptides screened based on peptidomics and virtual screening from Ruditapes philippinarum and Mactra veneriformis clams. Food Chemistry. 394. 133504–133504. 94 indexed citations

Li, Chen, Ying Hua, Daodong Pan, et al.. (2022). A rapid selection strategy for umami peptide screening based on machine learning and molecular docking. Food Chemistry. 404(Pt A). 134562–134562. 76 indexed citations

Gao, Xinchang, Daodong Pan, Ying Hua, et al.. (2022). Advances in the stability challenges of bioactive peptides and improvement strategies. Current Research in Food Science. 5. 2162–2170. 89 indexed citations

Hua, Ying, et al.. (2021). Transport, In Vivo Antihypertensive Effect, and Pharmacokinetics of an Angiotensin-Converting Enzyme (ACE) Inhibitory Peptide LVLPGE. Journal of Agricultural and Food Chemistry. 69(7). 2149–2156. 28 indexed citations

Hua, Ying, et al.. (2020). Permeabilization and immobilization of whole‐cell Pseudomonas nitroreducensSP.001 to improve its l‐glutaminase performance. Journal of the Science of Food and Agriculture. 101(4). 1301–1306. 6 indexed citations

Zhang, Tao, et al.. (2019). An efficient method for the high-yield production of l-theanine using a newly isolated glutaminase-producing organism. Food Bioscience. 28. 164–169. 22 indexed citations

Hua, Ying, Bo Jiang, Yoshinori Mine, & Wanmeng Mu. (2008). Purification and Characterization of a Novel Fibrinolytic Enzyme from Bacillus sp. nov. SK006 Isolated from an Asian Traditional Fermented Shrimp Paste. Journal of Agricultural and Food Chemistry. 56(4). 1451–1457. 52 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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