Cuiyan Tan

828 total citations
20 papers, 531 citations indexed

About

Cuiyan Tan is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, Cuiyan Tan has authored 20 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Immunology, 5 papers in Molecular Biology and 2 papers in Genetics. Recurrent topics in Cuiyan Tan's work include T-cell and B-cell Immunology (9 papers), Immunotherapy and Immune Responses (8 papers) and Psoriasis: Treatment and Pathogenesis (4 papers). Cuiyan Tan is often cited by papers focused on T-cell and B-cell Immunology (9 papers), Immunotherapy and Immune Responses (8 papers) and Psoriasis: Treatment and Pathogenesis (4 papers). Cuiyan Tan collaborates with scholars based in United States, China and Poland. Cuiyan Tan's co-authors include Igal Gery, Barbara P. Vistica, Guangpu Shi, Eric F. Wawrousek, Kangcheng Ruan, Ruqiang Liang, Catherine A. Cox, Jenna D. Lovaas, Madhu Ramaswamy and Dennis M. Klinman and has published in prestigious journals such as The Journal of Immunology, PLoS ONE and Biochemistry.

In The Last Decade

Cuiyan Tan

19 papers receiving 521 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cuiyan Tan United States 11 305 153 69 56 42 20 531
Robert Vaughan United Kingdom 12 182 0.6× 160 1.0× 39 0.6× 28 0.5× 49 1.2× 20 535
Krisztina Kerekes Hungary 14 273 0.9× 206 1.3× 19 0.3× 29 0.5× 24 0.6× 30 510
Szilvia Lukácsi Hungary 11 243 0.8× 97 0.6× 26 0.4× 42 0.8× 21 0.5× 14 450
Tilda Barliya Israel 10 159 0.5× 185 1.2× 63 0.9× 133 2.4× 11 0.3× 18 432
Louise Saul United Kingdom 9 143 0.5× 78 0.5× 37 0.5× 48 0.9× 22 0.5× 12 334
Francesca Ferrera Italy 15 309 1.0× 141 0.9× 23 0.3× 102 1.8× 28 0.7× 30 559
Sankaranarayana P. Mahesh United States 15 211 0.7× 81 0.5× 36 0.5× 62 1.1× 51 1.2× 32 639
Sue Kyung Kim South Korea 11 95 0.3× 143 0.9× 21 0.3× 44 0.8× 21 0.5× 21 366
Jordan E. Read United Kingdom 11 168 0.6× 102 0.7× 20 0.3× 41 0.7× 70 1.7× 18 428

Countries citing papers authored by Cuiyan Tan

Since Specialization
Citations

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

Fields of papers citing papers by Cuiyan Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cuiyan Tan

This figure shows the co-authorship network connecting the top 25 collaborators of Cuiyan Tan. A scholar is included among the top collaborators of Cuiyan Tan 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 Cuiyan Tan. Cuiyan Tan 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.
Lin, Minmin, Yingjian Liang, Changli Tu, et al.. (2022). Tropheryma whipplei detection by metagenomic next-generation sequencing in bronchoalveolar lavage fluid: A cross-sectional study. Frontiers in Cellular and Infection Microbiology. 12. 961297–961297. 19 indexed citations
2.
Zhang, Jingxiang, Yiping Wu, Jing Liu, et al.. (2022). Differential Oral Microbial Input Determines Two Microbiota Pneumo‐Types Associated with Health Status (Adv. Sci. 32/2022). Advanced Science. 9(32). 4 indexed citations
3.
4.
Tan, Cuiyan, Anthony J. St. Leger, Jennifer L. Kielczewski, et al.. (2017). Unlike Th1/Th17 cells, Th2/Th9 cells selectively migrate to the limbus/conjunctiva and initiate an eosinophilic infiltration process. Experimental Eye Research. 166. 116–119. 5 indexed citations
5.
Tan, Cuiyan, et al.. (2016). Shedding New Light on the Process of “Licensing” for Pathogenicity by Th Lymphocytes. The Journal of Immunology. 198(2). 681–690. 10 indexed citations
6.
Tan, Cuiyan, Barbara P. Vistica, Guangpu Shi, et al.. (2015). Leucine-Rich Repeat Kinase 2 (Lrrk2) Deficiency Diminishes the Development of Experimental Autoimmune Uveitis (EAU) and the Adaptive Immune Response. PLoS ONE. 10(6). e0128906–e0128906. 20 indexed citations
7.
Zhao, Chan, Guangpu Shi, Barbara P. Vistica, et al.. (2014). Induced regulatory T-cells (iTregs) generated by activation with anti-CD3/CD28 antibodies differ from those generated by the physiological-like activation with antigen/APC. Cellular Immunology. 290(2). 179–184. 7 indexed citations
8.
Tan, Cuiyan, Lai Wei, Barbara P. Vistica, et al.. (2014). Phenotypes of Th lineages generated by the commonly used activation with anti-CD3/CD28 antibodies differ from those generated by the physiological activation with the specific antigen. Cellular and Molecular Immunology. 11(3). 305–313. 15 indexed citations
9.
Shi, Guangpu, Barbara P. Vistica, Cuiyan Tan, et al.. (2013). Differential Involvement of Th1 and Th17 in Pathogenic Autoimmune Processes Triggered by Different TLR Ligands. The Journal of Immunology. 191(1). 415–423. 27 indexed citations
10.
Vistica, Barbara P., et al.. (2012). SLAT/Def6 plays a critical role in the pathogenic process of experimental autoimmune uveitis (EAU).. PubMed. 18. 1858–64. 6 indexed citations
11.
Tan, Cuiyan & Igal Gery. (2012). The Unique Features of Th9 Cells and their Products. Critical Reviews in Immunology. 32(1). 1–10. 46 indexed citations
12.
Tan, Cuiyan, Madhu Ramaswamy, Guangpu Shi, et al.. (2011). Inflammation-inducing Th1 and Th17 cells differ in their expression patterns of apoptosis-related molecules. Cellular Immunology. 271(2). 210–213. 9 indexed citations
13.
Tan, Cuiyan, Jenna D. Lovaas, Barbara P. Vistica, et al.. (2010). Antigen-Specific Th9 Cells Exhibit Uniqueness in Their Kinetics of Cytokine Production and Short Retention at the Inflammatory Site. The Journal of Immunology. 185(11). 6795–6801. 81 indexed citations
14.
Shi, Guangpu, Madhu Ramaswamy, Barbara P. Vistica, et al.. (2009). Unlike Th1, Th17 Cells Mediate Sustained Autoimmune Inflammation and Are Highly Resistant to Restimulation-Induced Cell Death. The Journal of Immunology. 183(11). 7547–7556. 47 indexed citations
15.
Shi, Guangpu, Catherine A. Cox, Barbara P. Vistica, et al.. (2008). Phenotype Switching by Inflammation-Inducing Polarized Th17 Cells, but Not by Th1 Cells. The Journal of Immunology. 181(10). 7205–7213. 114 indexed citations
16.
Tan, Cuiyan, Chunhe Xu, & Kangcheng Ruan. (2006). Folding studies of two hydrostatic pressure sensitive proteins. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1764(3). 481–488. 4 indexed citations
17.
Liang, Ruqiang, Cuiyan Tan, & Kangcheng Ruan. (2004). Colorimetric detection of protein microarrays based on nanogold probe coupled with silver enhancement. Journal of Immunological Methods. 285(2). 157–163. 86 indexed citations
18.
Weng, Jun, Cuiyan Tan, Jian‐Ren Shen, et al.. (2004). pH-Induced Conformational Changes in the Soluble Manganese-Stabilizing Protein of Photosystem II. Biochemistry. 43(16). 4855–4861. 16 indexed citations
19.
Zhang, Feng, Jinpeng Gao, Jun Weng, et al.. (2004). Structural and Functional Differentiation of Three Groups of Tyrosine Residues by Acetylation of N-Acetylimidazole in Manganese Stabilizing Protein. Biochemistry. 44(2). 719–725. 12 indexed citations
20.
Tan, Cuiyan, Ruqiang Liang, & Kangcheng Ruan. (2002). [Application of quantum dot to life science].. PubMed. 34(1). 1–5. 3 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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