Cai‐Yue Gao

554 total citations
22 papers, 350 citations indexed

About

Cai‐Yue Gao is a scholar working on Immunology, Organic Chemistry and Materials Chemistry. According to data from OpenAlex, Cai‐Yue Gao has authored 22 papers receiving a total of 350 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Immunology, 5 papers in Organic Chemistry and 5 papers in Materials Chemistry. Recurrent topics in Cai‐Yue Gao's work include Immune Cell Function and Interaction (6 papers), Boron and Carbon Nanomaterials Research (5 papers) and T-cell and B-cell Immunology (5 papers). Cai‐Yue Gao is often cited by papers focused on Immune Cell Function and Interaction (6 papers), Boron and Carbon Nanomaterials Research (5 papers) and T-cell and B-cell Immunology (5 papers). Cai‐Yue Gao collaborates with scholars based in China, United States and Japan. Cai‐Yue Gao's co-authors include Zhe‐Xiong Lian, M. Eric Gershwin, Liang Li, Yuan Yao, Shuhan Yang, Koichi Tsuneyama, Christopher Chang, Xiaomei Li, Kai Yan and Si‐Dian Li and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Physical Chemistry Chemical Physics.

In The Last Decade

Cai‐Yue Gao

18 papers receiving 349 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cai‐Yue Gao China 11 137 118 94 62 55 22 350
Zonghong Shao China 13 229 1.7× 46 0.4× 146 1.6× 98 1.6× 26 0.5× 80 540
Kazuhiko Obara Japan 9 270 2.0× 204 1.7× 89 0.9× 38 0.6× 93 1.7× 15 475
Zeinab Elsayed Egypt 8 47 0.3× 80 0.7× 110 1.2× 101 1.6× 75 1.4× 21 335
Juliet K. Simpson United Kingdom 6 27 0.2× 81 0.7× 62 0.7× 39 0.6× 23 0.4× 11 400
Penny Anders United States 6 280 2.0× 150 1.3× 33 0.4× 87 1.4× 42 0.8× 8 417
Albin Björk Sweden 9 122 0.9× 126 1.1× 70 0.7× 22 0.4× 27 0.5× 15 303
F. Guddo Italy 10 64 0.5× 129 1.1× 172 1.8× 102 1.6× 38 0.7× 15 428
Maria Paola Simula Italy 11 113 0.8× 14 0.1× 78 0.8× 44 0.7× 48 0.9× 21 387
Kun Soo Lee South Korea 12 126 0.9× 16 0.1× 70 0.7× 98 1.6× 23 0.4× 43 449
Keiko Kagami Japan 11 78 0.6× 13 0.1× 130 1.4× 80 1.3× 60 1.1× 37 379

Countries citing papers authored by Cai‐Yue Gao

Since Specialization
Citations

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

Fields of papers citing papers by Cai‐Yue Gao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cai‐Yue Gao. 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 Cai‐Yue Gao. The network helps show where Cai‐Yue Gao may publish in the future.

Co-authorship network of co-authors of Cai‐Yue Gao

This figure shows the co-authorship network connecting the top 25 collaborators of Cai‐Yue Gao. A scholar is included among the top collaborators of Cai‐Yue Gao 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 Cai‐Yue Gao. Cai‐Yue Gao 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.
Xu, Ting, Xiaohong Chen, Li Liang, et al.. (2025). Identification of Pathogenic PD‐1+CD8+ T Cells for Effective Chimeric Antigen Receptor Therapy in a Murine Model of Sjögren Disease. Arthritis & Rheumatology. 77(8). 1026–1040.
2.
Zou, Yaoyao, Guangtao Fu, Xiaoxue Wang, et al.. (2025). Inhibition of Aberrant Activated Fibroblast‐Like Synoviocytes in Rheumatoid Arthritis by Leishmania Peptide via the Regulation of Fatty Acid Synthesis Metabolism. Advanced Science. 12(19). e2409154–e2409154. 5 indexed citations
3.
Chen, Qiang, Guangfeng Wei, Cai‐Yue Gao, et al.. (2025). Emergence of bulk-like structural features and 2D-to-3D transition in boron nanoclusters. Proceedings of the National Academy of Sciences. 122(47). e2510702122–e2510702122.
4.
Zhang, Ting, et al.. (2025). Prediction of endohedral borafullerenes X@B32C36 (X = CH4, BH4−, H2O, and NH3) with a B32C36 shell isovalent with C60. Journal of Molecular Modeling. 31(2). 54–54. 1 indexed citations
5.
Chen, Qiang, et al.. (2025). Observation of boron carbonyl complexes B11(CO)n+ (n = 1–6) and B15(CO)n+ (n = 1–5) with conflicting aromaticity. Physical Chemistry Chemical Physics. 27(14). 7279–7287. 1 indexed citations
6.
Gao, Cai‐Yue, et al.. (2024). Cl©Li5Cl5−: A Star-like Superhalogen Anion Featuring a Planar Pentacoordinate Chlorine at the Center. Molecules. 29(16). 3831–3831. 5 indexed citations
7.
Gao, Cai‐Yue, et al.. (2024). Perfect Tetrahedral B16X4 (X = P, As) as Non-metal-stabilized Borospherenes with a Truncated B16 Cage at the Center. Journal of Cluster Science. 35(5). 1375–1380. 1 indexed citations
8.
Yang, Shuhan, Cai‐Yue Gao, Xiaohong Chen, et al.. (2024). Targeting pathogenic CD8+ tissue-resident T cells with chimeric antigen receptor therapy in murine autoimmune cholangitis. Nature Communications. 15(1). 2936–2936. 18 indexed citations
9.
Gao, Cai‐Yue, et al.. (2024). Restriction on molecular fluxionality by substitution: A case study for the 1,10‐dicyanobullvalene. Journal of Computational Chemistry. 45(24). 2080–2090.
10.
Gao, Cai‐Yue, et al.. (2024). Fluxional halogen bonds in linear complexes of tetrafluorodiiodobenzene with dinitrobenzene. Journal of Computational Chemistry. 46(1). e27483–e27483.
12.
Yang, Qiong, Kai Yan, Rongrong Huang, et al.. (2022). Multi-Omics Profiling Identifies Pathways Associated With CD8+ T-Cell Activation in Severe Aplastic Anemia. Frontiers in Genetics. 12. 790990–790990. 15 indexed citations
13.
Gao, Cai‐Yue, Liang Li, Zhibin Zhao, et al.. (2022). Increased proportion of follicular helper T cells is associated with B cell activation and disease severity in IgA nephropathy. Frontiers in Immunology. 13. 901465–901465. 15 indexed citations
14.
Zhang, Wen, Liang Li, Zu-Qi Zuo, et al.. (2021). Chromatin accessibility analysis identifies the transcription factor ETV5 as a suppressor of adipose tissue macrophage activation in obesity. Cell Death and Disease. 12(11). 1023–1023. 10 indexed citations
15.
Yan, Kai, Yi He, Qingzhi Liu, et al.. (2020). Multi-omics analysis identifies FoxO1 as a regulator of macrophage function through metabolic reprogramming. Cell Death and Disease. 11(9). 800–800. 37 indexed citations
16.
Yao, Yuan, et al.. (2020). Immunobiology of T Cells in Sjögren’s Syndrome. Clinical Reviews in Allergy & Immunology. 60(1). 111–131. 63 indexed citations
17.
Yao, Yuan, Liang Li, Shuhan Yang, et al.. (2018). CD8+ T cells and IFN-γ induce autoimmune myelofibrosis in mice. Journal of Autoimmunity. 89. 101–111. 5 indexed citations
18.
Ma, Hong-Di, Cai‐Yue Gao, Liang Li, et al.. (2018). Gut microbiota translocation promotes autoimmune cholangitis. Journal of Autoimmunity. 95. 47–57. 50 indexed citations
19.
Gao, Cai‐Yue, Yuan Yao, Liang Li, et al.. (2018). Tissue‐Resident Memory CD8+ T Cells Acting as Mediators of Salivary Gland Damage in a Murine Model of Sjögren's Syndrome. Arthritis & Rheumatology. 71(1). 121–132. 57 indexed citations
20.
Yang, Shuhan, Cai‐Yue Gao, Liang Li, et al.. (2018). The molecular basis of immune regulation in autoimmunity. Clinical Science. 132(1). 43–67. 16 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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