Yin Wu

1.1k total citations
24 papers, 712 citations indexed

About

Yin Wu is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Yin Wu has authored 24 papers receiving a total of 712 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Immunology and 4 papers in Oncology. Recurrent topics in Yin Wu's work include Enzyme Catalysis and Immobilization (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). Yin Wu is often cited by papers focused on Enzyme Catalysis and Immobilization (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Chronic Lymphocytic Leukemia Research (2 papers). Yin Wu collaborates with scholars based in China, United States and Japan. Yin Wu's co-authors include Yutaka Osajima, Mitsuya Shimoda, Andrew T. Bender, Albertina Pereira, Anoop Mayampurath, Haixu Tang, Yehia Mechref, Federica Morandi, Jared Head and Lesley Liu‐Bujalski and has published in prestigious journals such as Journal of Agricultural and Food Chemistry, The FASEB Journal and ACS Applied Materials & Interfaces.

In The Last Decade

Yin Wu

22 papers receiving 689 citations

Peers

Yin Wu

IMMUN

GENET

CMN

ONCOL

Antonio Artigues United States

Wenjing Chen China

María T. Villar United States

Bernd Gesslbauer Austria

Balasubramanian Palaniappan United States

Yujun He China

Pyung Keun Myung South Korea

James T. Radek United States

Xiaomin Ni Germany

Antonio Artigues United States

Yin Wu

767 ×2.5

192 ×1.0

IMMUN

25 ×0.2

GENET

35 ×0.4

CMN

54 ×0.6

ONCOL

Citations per year, relative to Yin Wu Yin Wu (= 1×) peers Antonio Artigues

Countries citing papers authored by Yin Wu

Since Specialization

Citations

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

Fields of papers citing papers by Yin Wu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yin Wu

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

All Works

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20 of 20 papers shown

Zhao, Juntao, Yin Wu, Ke Wu, et al.. (2025). Engineering Corynebacterium glutamicum for the Production of 5-Aminolevulinic Acid under Microaerobic Conditions Guided by a Genome-Scale Metabolic Network. Journal of Agricultural and Food Chemistry. 73(21). 12809–12820.

Wu, Yin, Nicholas Geraci, Petra Budde, et al.. (2024). TLR7/8 Activation in Immune Cells and Muscle by RNA‐Containing Immune Complexes: Role in Inflammation and the Pathogenesis of Myositis. Arthritis & Rheumatology. 77(2). 190–201. 6 indexed citations

Wu, Yin & Yan Sun. (2024). A Hydrophilic Metal Azolate Coordination Polymer for In Situ Encapsulation of Haloalkane Dehalogenase with Enhanced Enzymatic Performance. ACS Applied Materials & Interfaces. 16(27). 35566–35575. 7 indexed citations

Wu, Yin & Yan Sun. (2023). Cationic Polymers Remarkably Boost Haloalkane Dehalogenase Activity in Organic Solvent Solutions and the Molecular Implications. Molecules. 28(19). 6795–6795. 3 indexed citations

Wu, Yin & Yan Sun. (2023). Rational surface charge engineering of haloalkane dehalogenase for boosting the enzymatic performance in organic solvent solutions. Chinese Journal of Chemical Engineering. 65. 276–285. 3 indexed citations

Huang, Yabing, Ling Huang, Jiling Zhu, et al.. (2022). Differential expression of insulin-like growth factor type 1 receptor identifies heterogeneous intrahepatic regulatory T subsets in mouse hepatocellular carcinoma. Clinical & Experimental Immunology. 208(1). 47–59. 3 indexed citations

Bender, Andrew T., Evgeni P. Tzvetkov, Albertina Pereira, et al.. (2020). TLR7 and TLR8 Differentially Activate the IRF and NF-κB Pathways in Specific Cell Types to Promote Inflammation. ImmunoHorizons. 4(2). 93–107. 84 indexed citations

Bender, Andrew T., A.S. Gardberg, Albertina Pereira, et al.. (2017). Ability of Bruton’s Tyrosine Kinase Inhibitors to Sequester Y551 and Prevent Phosphorylation Determines Potency for Inhibition of Fc Receptor but not B-Cell Receptor Signaling. Molecular Pharmacology. 91(3). 208–219. 126 indexed citations

Bender, Andrew T., Albertina Pereira, Kai Fu, et al.. (2016). Btk inhibition treats TLR7/IFN driven murine lupus. Clinical Immunology. 164. 65–77. 38 indexed citations

10.

Li, Guanwei, Jianan Ren, Qin Wu, et al.. (2015). Bacteriology of Spontaneous Intra-Abdominal Abscess in Patients with Crohn Disease in China: Risk of Extended-Spectrum Beta-Lactamase-Producing Bacteria. Surgical Infections. 16(4). 461–465. 9 indexed citations

11.

Gao, Xiaorong, et al.. (2015). Smart substation secondary system visualization and intelligent diagnosis based on improved SCD model. International Conference on Renewable Power Generation (RPG 2015). 5 .–5 .. 4 indexed citations

12.

Bender, Andrew T., Yin Wu, Qiongfang Cao, et al.. (2014). Assessment of the translational value of mouse lupus models using clinically relevant biomarkers. Translational research. 163(6). 515–532. 13 indexed citations

13.

Bender, Andrew T., Mark R. Spyvee, Takashi Satoh, et al.. (2013). Evaluation of a candidate anti-arthritic drug using the mouse collagen antibody induced arthritis model and clinically relevant biomarkers.. PubMed. 5(1). 92–102. 16 indexed citations

14.

Shi, Xiaopeng, Shan Miao, Yin Wu, et al.. (2013). Resveratrol Sensitizes Tamoxifen in Antiestrogen-Resistant Breast Cancer Cells with Epithelial-Mesenchymal Transition Features. International Journal of Molecular Sciences. 14(8). 15655–15668. 58 indexed citations

15.

Lin, Jing, et al.. (2012). Python based 4D Visualization Environment. International Journal of Advancements in Computing Technology. 4(16). 460–469.

16.

Wu, Yin. (2011). Influence of Intercropping Maize with Alfalfa on Runoff and Sediment Yield after Rainfall on Loess Slope Land. Jieshui guan'gai. 3 indexed citations

17.

Wu, Yin, Yehia Mechref, Iveta Kloučková, et al.. (2010). Mapping site‐specific protein N‐glycosylations through liquid chromatography/mass spectrometry and targeted tandem mass spectrometry. Rapid Communications in Mass Spectrometry. 24(7). 965–972. 35 indexed citations

18.

Wu, Hua, Wengang Li, Zhe Sun, et al.. (2010). Regulation of Nur77 expression by β‐catenin and its mitogenic effect in colon cancer cells. The FASEB Journal. 25(1). 192–205. 96 indexed citations

19.

Wu, Yin, Mitsuya Shimoda, & Yutaka Osajima. (1996). Volatile Aroma Compounds in Young Leaves and Green Fruits of Japanese Pepper. Nippon Nōgeikagaku Kaishi. 70(9). 1001–1005. 6 indexed citations

20.

Shimoda, Mitsuya, Hideki Shiratsuchi, Yuji Nakada, Yin Wu, & Yutaka Osajima. (1996). Identification and Sensory Characterization of Volatile Flavor Compounds in Sesame Seed Oil. Journal of Agricultural and Food Chemistry. 44(12). 3909–3912. 56 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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