Rina Wu

5.9k total citations · 1 hit paper
152 papers, 3.9k citations indexed

About

Rina Wu is a scholar working on Molecular Biology, Food Science and Nutrition and Dietetics. According to data from OpenAlex, Rina Wu has authored 152 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Molecular Biology, 62 papers in Food Science and 30 papers in Nutrition and Dietetics. Recurrent topics in Rina Wu's work include Probiotics and Fermented Foods (50 papers), Gut microbiota and health (22 papers) and Protein Hydrolysis and Bioactive Peptides (14 papers). Rina Wu is often cited by papers focused on Probiotics and Fermented Foods (50 papers), Gut microbiota and health (22 papers) and Protein Hydrolysis and Bioactive Peptides (14 papers). Rina Wu collaborates with scholars based in China, United States and Japan. Rina Wu's co-authors include Junrui Wu, Xiqing Yue, Feiyu An, Mei Yang, Xueyan Cao, Heping Zhang, Xue Luo, Mengxi Xie, Haisu Shi and Mo Li and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Agricultural and Food Chemistry.

In The Last Decade

Rina Wu

145 papers receiving 3.8k citations

Hit Papers

Antimicrobial peptides: An alternative to traditional ant... 2023 2026 2024 2025 2023 25 50 75 100
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.

  1. Antimicrobial peptides: An alternative to traditional antibiotics
    2023 100 citations Jiawei Guo, Junrui Wu et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rina Wu China 37 1.8k 1.7k 981 499 314 152 3.9k
Lifeng Wang China 37 1.6k 0.9× 2.0k 1.2× 954 1.0× 558 1.1× 483 1.5× 110 4.3k
Xiaoming Liu China 40 2.5k 1.4× 1.9k 1.2× 1.3k 1.3× 647 1.3× 382 1.2× 168 5.1k
Jiachao Zhang China 40 1.6k 0.9× 2.7k 1.6× 617 0.6× 378 0.8× 246 0.8× 143 4.6k
Min Zhang China 41 1.5k 0.8× 2.7k 1.7× 910 0.9× 1.1k 2.2× 292 0.9× 221 5.9k
Hongbing Chen China 36 1.1k 0.6× 1.3k 0.8× 463 0.5× 428 0.9× 234 0.7× 292 4.3k
Bo Yang China 41 1.5k 0.8× 3.1k 1.9× 959 1.0× 252 0.5× 208 0.7× 285 5.4k
Antonietta La Storia Italy 36 1.9k 1.1× 2.3k 1.4× 533 0.5× 453 0.9× 798 2.5× 47 4.9k
Manoj Kumar India 29 1.3k 0.7× 1.7k 1.0× 785 0.8× 358 0.7× 142 0.5× 82 3.8k
Hui Wu China 40 1.3k 0.7× 1.6k 1.0× 796 0.8× 1.5k 3.0× 285 0.9× 137 4.4k

Countries citing papers authored by Rina Wu

Since Specialization
Citations

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

Fields of papers citing papers by Rina Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rina Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Rina Wu. A scholar is included among the top collaborators of Rina Wu 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 Rina Wu. Rina Wu 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.
An, Feiyu, Junrui Wu, Yaqi Wang, et al.. (2025). Identification and taste presentation characteristics of umami peptides from soybean paste based on peptidomics and virtual screening. Food Chemistry. 477. 143621–143621. 6 indexed citations
2.
Wu, Rina, et al.. (2024). Research progress of 3D printing technology in functional food, powering the future of food. Trends in Food Science & Technology. 149. 104545–104545. 26 indexed citations
3.
Wu, Rina, Mo Li, Haisu Shi, et al.. (2024). Structural properties and biological activities of the extracellular polysaccharide of Bacillus subtilis LZ13-4. International Journal of Biological Macromolecules. 259(Pt 1). 129176–129176. 7 indexed citations
4.
Wu, Junrui, Feiyu An, Jiawei Guo, et al.. (2024). Umami-gcForest: Construction of a predictive model for umami peptides based on deep forest. Food Chemistry. 464(Pt 3). 141826–141826. 8 indexed citations
5.
Shi, Lin, Tong Cui, Xinyue Wang, et al.. (2024). Biotransformation and pharmacological activities of platycosides from Platycodon grandiflorum roots. Chinese Herbal Medicines. 16(3). 392–400. 3 indexed citations
6.
Hu, Xinyu, et al.. (2024). Biofilm-based probiotic delivery system and its application in the food industry. Food Bioscience. 62. 105172–105172. 5 indexed citations
7.
Shi, Haisu, Weiming Wang, Yan Zhou, et al.. (2024). The potential of lactic acid bacteria in fermented herbs-derived food products. Food Bioscience. 61. 104714–104714. 10 indexed citations
8.
9.
Cao, Kaixin, Junrui Wu, Yu‐Chen Hou, et al.. (2024). Impact of non-Saccharomyces yeasts derived from traditional fermented foods on beer aroma: Analysis based on HS-SPME-GC/MS combined with chemometrics. Food Research International. 187. 114366–114366. 12 indexed citations
10.
Zhang, Henan, Junrui Wu, Na Li, Rina Wu, & Wei Chen. (2023). Microbial influence on triggering and treatment of host cancer: An intestinal barrier perspective. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1878(6). 188989–188989. 4 indexed citations
11.
An, Feiyu, Junrui Wu, Yunzi Feng, et al.. (2023). A systematic review on the flavor of soy‐based fermented foods: Core fermentation microbiome, multisensory flavor substances, key enzymes, and metabolic pathways. Comprehensive Reviews in Food Science and Food Safety. 22(4). 2773–2801. 65 indexed citations
12.
Cao, Kaixin, et al.. (2023). Identification, Characterization, and Receptor Binding Mechanism of New Umami Peptides from Traditional Fermented Soybean Paste (Dajiang). Journal of Agricultural and Food Chemistry. 71(48). 18953–18962. 9 indexed citations
13.
14.
Yu, Jinhui, Shujie Qu, Han Xia, et al.. (2020). Effects of different probiotic combinations on the components and bioactivity of Spirulina. Journal of Basic Microbiology. 60(6). 543–557. 24 indexed citations
15.
Yang, Mei, Wei Deng, Xueyan Cao, et al.. (2020). Quantitative Phosphoproteomics of Milk Fat Globule Membrane in Human Colostrum and Mature Milk: New Insights into Changes in Protein Phosphorylation during Lactation. Journal of Agricultural and Food Chemistry. 68(15). 4546–4556. 37 indexed citations
16.
17.
Guo, Wenfang, Maolin Du, Dejun Sun, et al.. (2018). The effect characteristics of temperature on stroke mortality in Inner Mongolia and globally. International Journal of Biometeorology. 63(2). 159–166. 7 indexed citations
18.
Xie, Mengxi, Junrui Wu, Feiyu An, et al.. (2018). An integrated metagenomic/metaproteomic investigation of microbiota in dajiang-meju, a traditional fermented soybean product in Northeast China. Food Research International. 115. 414–424. 77 indexed citations
19.
Cao, Xueyan, Shimo Kang, Mei Yang, et al.. (2017). Quantitative N-glycoproteomics of milk fat globule membrane in human colostrum and mature milk reveals changes in protein glycosylation during lactation. Food & Function. 9(2). 1163–1172. 49 indexed citations
20.
Erkert, Lena, Sherezade Moñino‐Romero, Rina Wu, et al.. (2017). An algorithm for the classification of mRNA patterns in eosinophilic esophagitis: Integration of machine learning. Journal of Allergy and Clinical Immunology. 141(4). 1354–1364.e9. 23 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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