Xin Ku

1.0k total citations
25 papers, 722 citations indexed

About

Xin Ku is a scholar working on Molecular Biology, Spectroscopy and Oncology. According to data from OpenAlex, Xin Ku has authored 25 papers receiving a total of 722 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 6 papers in Spectroscopy and 4 papers in Oncology. Recurrent topics in Xin Ku's work include Advanced Proteomics Techniques and Applications (5 papers), Myasthenia Gravis and Thymoma (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Xin Ku is often cited by papers focused on Advanced Proteomics Techniques and Applications (5 papers), Myasthenia Gravis and Thymoma (3 papers) and Glycosylation and Glycoproteins Research (2 papers). Xin Ku collaborates with scholars based in China, Germany and Japan. Xin Ku's co-authors include Hualiang Jiang, Honglin Li, Hong Liu, He Huang, Daqi Gao, Jiayu Gong, Wei Yan, Xiang Wang, Hualiang Jiang and Liping Lin and has published in prestigious journals such as Bioinformatics, Biochemical and Biophysical Research Communications and Journal of Medicinal Chemistry.

In The Last Decade

Xin Ku

24 papers receiving 718 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Xin Ku China 11 409 262 144 120 66 25 722
Jenny Roy Canada 17 333 0.8× 250 1.0× 123 0.9× 74 0.6× 55 0.8× 61 790
Huabei Zhang China 17 325 0.8× 250 1.0× 131 0.9× 178 1.5× 76 1.2× 73 766
Ted W. Johnson United States 18 790 1.9× 395 1.5× 156 1.1× 214 1.8× 75 1.1× 28 1.6k
Dimitar Jakimov Serbia 17 262 0.6× 299 1.1× 101 0.7× 90 0.8× 23 0.3× 69 711
Huanzhang Xie China 16 344 0.8× 141 0.5× 95 0.7× 203 1.7× 45 0.7× 33 637
Haoliang Yuan China 21 697 1.7× 282 1.1× 312 2.2× 196 1.6× 57 0.9× 71 1.2k
Hirosato Ebiike Japan 14 605 1.5× 480 1.8× 120 0.8× 60 0.5× 42 0.6× 31 1.0k
Qiu Zhong United States 19 490 1.2× 427 1.6× 220 1.5× 58 0.5× 94 1.4× 39 1.0k
Manuela Gridling Austria 13 672 1.6× 126 0.5× 269 1.9× 74 0.6× 84 1.3× 17 1.0k
Dingding Gao China 16 249 0.6× 331 1.3× 103 0.7× 75 0.6× 28 0.4× 43 674

Countries citing papers authored by Xin Ku

Since Specialization
Citations

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

Fields of papers citing papers by Xin Ku

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xin Ku

This figure shows the co-authorship network connecting the top 25 collaborators of Xin Ku. A scholar is included among the top collaborators of Xin Ku 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 Xin Ku. Xin Ku 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.
Zhou, Ziqi, Can Zhang, Hai Fang, et al.. (2025). Proteomic Portrait of Degranulation Program in Human Circulating Neutrophils Upon Multi-Inflammatory and Infectious Activation. Molecular & Cellular Proteomics. 25(1). 101078–101078.
2.
Xu, Zhijue, Han Zhang, Jiaqi Tian, et al.. (2024). O-glycosylation of SARS-CoV-2 spike protein by host <?A3B2 pi6?>O-glycosyltransferase strengthens its trimeric structure. Acta Biochimica et Biophysica Sinica. 56(8). 1118–1129. 1 indexed citations
3.
Bai, Jilin, et al.. (2024). Preparation of S-doped CuCoO2 nanosheets with more oxygen defects for efficient oxygen evolution reaction. New Journal of Chemistry. 48(38). 16692–16698. 3 indexed citations
4.
Ku, Xin, Qiuling Ma, Haikuo Li, et al.. (2023). Hsa_circ_0007099 and PIP4K2A coexpressed in diffuse large B-cell lymphoma with clinical significance. Genes & Diseases. 11(4). 101056–101056. 3 indexed citations
5.
Lu, Yu, Zhitao Gu, Qiangling Sun, et al.. (2023). HNRNPA2B1 as a potential therapeutic target for thymic epithelial tumor recurrence: An integrative network analysis. Computers in Biology and Medicine. 155. 106665–106665. 5 indexed citations
6.
Zhu, Fei, Fanwang Meng, Xin Ku, et al.. (2022). Leveraging Protein Dynamics to Identify Functional Phosphorylation Sites using Deep Learning Models. Journal of Chemical Information and Modeling. 62(14). 3331–3345. 13 indexed citations
7.
Ku, Xin, Jinghan Wang, Haikuo Li, et al.. (2022). Proteomic Portrait of Human Lymphoma Reveals Protein Molecular Fingerprint of Disease Specific Subtypes and Progression. PubMed Central. 3(2). 148–166. 11 indexed citations
8.
Shi, Jingjing, Xin Ku, Xia Zou, et al.. (2021). Comprehensive analysis of O-glycosylation of amyloid precursor protein (APP) using targeted and multi-fragmentation MS strategy. Biochimica et Biophysica Acta (BBA) - General Subjects. 1865(10). 129954–129954. 15 indexed citations
9.
Ku, Xin, Qiangling Sun, Lei Zhu, et al.. (2020). Deciphering tissue‐based proteome signatures revealed novel subtyping and prognostic markers for thymic epithelial tumors. Molecular Oncology. 14(4). 721–741. 9 indexed citations
10.
11.
Xu, Zhijue, Xin Ku, Tao Liang, et al.. (2020). O-linked N-acetylgalactosamine modification is present on the tumor suppressor p53. Biochimica et Biophysica Acta (BBA) - General Subjects. 1864(8). 129635–129635. 7 indexed citations
12.
Chen, Ming‐Hui, Tingxiang Yan, Liyun Ji, et al.. (2020). Comprehensive Map of the Artemisia annua Proteome and Quantification of Differential Protein Expression in Chemotypes Producing High versus Low Content of Artemisinin. PROTEOMICS. 20(10). e1900310–e1900310. 7 indexed citations
13.
Ku, Xin, Yan Xu, Chunlin Cai, et al.. (2019). In-Depth Characterization of Mass Spectrometry-Based Proteomic Profiles Revealed Novel Signature Proteins Associated with Liver Metastatic Colorectal Cancers. Analytical Cellular Pathology. 2019. 1–9. 8 indexed citations
14.
Sun, Qiangling, et al.. (2018). Investigation of an optimal lysis method for the study of thymus and thymoma by mass spectrometry-based proteomics. Translational Cancer Research. 7(2). 391–400. 2 indexed citations
15.
Xu, Yan, et al.. (2018). Exosomal proteome analysis of human plasma to monitor sepsis progression. Biochemical and Biophysical Research Communications. 499(4). 856–861. 32 indexed citations
16.
Sun, Qiangling, Xin Ku, Ning Xu, et al.. (2018). Investigation of an optimal lysis method for the study of thymus and thymoma by mass spectrometry-based proteomics. Translational Cancer Research. 7(2). 391–400. 4 indexed citations
17.
Ku, Xin, et al.. (2017). Kinetic Study of Cell Growth and Production of Amylase, Cellulase and Xylanase by Bacillus subtilis Using Barley Husk as the Prime Carbon Source. Journal of Advances in Biology & Biotechnology. 14(2). 1–18. 3 indexed citations
18.
Ku, Xin, et al.. (2013). A new chemical probe for quantitative proteomic profiling of fibroblast growth factor receptor and its inhibitors. Journal of Proteomics. 96. 44–55. 11 indexed citations
19.
20.
Huang, He, Qin Chen, Xin Ku, et al.. (2010). A Series of α-Heterocyclic Carboxaldehyde Thiosemicarbazones Inhibit Topoisomerase IIα Catalytic Activity. Journal of Medicinal Chemistry. 53(8). 3048–3064. 175 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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