Chuanlai Shen

827 total citations
47 papers, 628 citations indexed

About

Chuanlai Shen is a scholar working on Immunology, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Chuanlai Shen has authored 47 papers receiving a total of 628 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Immunology, 16 papers in Molecular Biology and 9 papers in Infectious Diseases. Recurrent topics in Chuanlai Shen's work include Immunotherapy and Immune Responses (29 papers), Immune Cell Function and Interaction (18 papers) and T-cell and B-cell Immunology (13 papers). Chuanlai Shen is often cited by papers focused on Immunotherapy and Immune Responses (29 papers), Immune Cell Function and Interaction (18 papers) and T-cell and B-cell Immunology (13 papers). Chuanlai Shen collaborates with scholars based in China, Bangladesh and United States. Chuanlai Shen's co-authors include Xiaoxiao Jin, Khawar Ali Shahzad, Jianqiong Zhang, Xin Wan, Weiya Pei, Fengqin Miao, Lei Zhang, Chen Zhao, Yong He and Jianping Yang and has published in prestigious journals such as Advanced Materials, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Chuanlai Shen

45 papers receiving 622 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chuanlai Shen China 15 316 228 131 105 101 47 628
Joseph D. Ferrari United States 11 548 1.7× 357 1.6× 91 0.7× 73 0.7× 54 0.5× 14 1.0k
Lianne Vriend Netherlands 15 284 0.9× 404 1.8× 230 1.8× 214 2.0× 55 0.5× 18 928
David H. Altreuter United States 5 471 1.5× 295 1.3× 78 0.6× 93 0.9× 60 0.6× 7 744
Brandon Hogstad United States 5 390 1.2× 256 1.1× 128 1.0× 44 0.4× 39 0.4× 5 710
Kota Tange Japan 19 215 0.7× 615 2.7× 57 0.4× 105 1.0× 115 1.1× 30 828
Ying Waeckerle‐Men Switzerland 19 692 2.2× 371 1.6× 215 1.6× 121 1.2× 60 0.6× 30 1.1k
Erica Browning United States 6 453 1.4× 270 1.2× 93 0.7× 89 0.8× 53 0.5× 11 714
Zhimin Shen United States 9 369 1.2× 170 0.7× 108 0.8× 74 0.7× 83 0.8× 13 653
Genc Basha Canada 17 541 1.7× 672 2.9× 216 1.6× 83 0.8× 78 0.8× 28 1.3k
Christian Schütz Germany 12 467 1.5× 175 0.8× 297 2.3× 96 0.9× 39 0.4× 22 833

Countries citing papers authored by Chuanlai Shen

Since Specialization
Citations

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

Fields of papers citing papers by Chuanlai Shen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chuanlai Shen

This figure shows the co-authorship network connecting the top 25 collaborators of Chuanlai Shen. A scholar is included among the top collaborators of Chuanlai Shen 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 Chuanlai Shen. Chuanlai Shen 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
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Zhao, Yu, Min Li, Qiang Fu, et al.. (2025). Predominant T-cell epitopes of SARS-CoV-2 restricted by multiple prevalent HLA-B and HLA-C allotypes in Northeast Asia. Frontiers in Immunology. 16. 1545510–1545510.
4.
Ji, Ruixue, et al.. (2024). Comparison of HBV-specific T cell reactivity across the pregnant, postpartum and non-pregnant women with chronic HBV infection. Frontiers in Immunology. 15. 1461767–1461767. 1 indexed citations
5.
Shi, Juan, et al.. (2023). Screening of Efficient Adjuvants for the RBD-Based Subunit Vaccine of SARS-CoV-2. Vaccines. 11(4). 713–713. 11 indexed citations
6.
Zhang, Yanan, Renwang Sheng, Jialin Chen, et al.. (2023). Silk Fibroin and Sericin Differentially Potentiate the Paracrine and Regenerative Functions of Stem Cells Through Multiomics Analysis. Advanced Materials. 35(20). e2210517–e2210517. 85 indexed citations
7.
Zhao, Chen, et al.. (2022). The Use of Molecular Dynamics Simulation Method to Quantitatively Evaluate the Affinity between HBV Antigen T Cell Epitope Peptides and HLA-A Molecules. International Journal of Molecular Sciences. 23(9). 4629–4629. 4 indexed citations
8.
Gu, Pan, et al.. (2022). Computer-Based Immunoinformatic Analysis to Predict Candidate T-Cell Epitopes for SARS-CoV-2 Vaccine Design. Frontiers in Immunology. 13. 847617–847617. 5 indexed citations
9.
Zhao, Chen, et al.. (2022). Screening and Identification of HBV Epitopes Restricted by Multiple Prevalent HLA-A Allotypes. Frontiers in Immunology. 13. 847105–847105. 9 indexed citations
10.
Jin, Xiaoxiao, Yan Ding, Shihui Sun, et al.. (2021). Screening HLA-A-restricted T cell epitopes of SARS-CoV-2 and the induction of CD8+ T cell responses in HLA-A transgenic mice. Cellular and Molecular Immunology. 18(12). 2588–2608. 25 indexed citations
11.
Song, Shuangshuang, et al.. (2019). PEGylated and CD47-conjugated nanoellipsoidal artificial antigen-presenting cells minimize phagocytosis and augment anti-tumor T-cell responses. SHILAP Revista de lepidopterología. 1 indexed citations
12.
Zhang, Lei, Xiaoxiao Jin, Xin Wan, et al.. (2019). An Artificial Antigen-Presenting Cell Delivering 11 Immune Molecules Expands Tumor Antigen–Specific CTLs in Ex Vivo and In Vivo Murine Melanoma Models. Cancer Immunology Research. 7(7). 1188–1201. 16 indexed citations
13.
Wan, Xin, Weiya Pei, Khawar Ali Shahzad, et al.. (2018). A Tolerogenic Artificial APC Durably Ameliorates Experimental Autoimmune Encephalomyelitis by Directly and Selectively Modulating Myelin Peptide–Autoreactive CD4+ and CD8+ T Cells. The Journal of Immunology. 201(4). 1194–1210. 14 indexed citations
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Wan, Xin, Weiya Pei, Yiming Zhang, et al.. (2017). Inconsistence between number and function of autoreactive T cells in the course of experimental autoimmune encephalomyelitis. Immunological Investigations. 47(1). 1–17. 6 indexed citations
16.
Chen, Anjun, Yuqing Shen, Xia Mao, et al.. (2011). Expression of the nonclassical HLA class I and MICA/B molecules in human hepatocellular carcinoma. Neoplasma. 58(5). 371–376. 20 indexed citations
17.
Shen, Chuanlai, et al.. (2011). Killer artificial antigen-presenting cells deplete alloantigen-specific T cells in a murine model of alloskin transplantation. Immunology Letters. 138(2). 144–155. 26 indexed citations
18.
Shen, Chuanlai, Fengqin Miao, Yong He, et al.. (2010). A novel one-step strategy for the preparation of HLA/HBc18–27 and HLA/CEA694–702 complexes with ion exchange chromatography. Biotechnology Letters. 32(12). 1803–1808. 1 indexed citations
19.
Shen, Chuanlai, et al.. (2009). Cloning and expression of three peptide-linked β2-microglobulin molecules in Escherichia coli with an isocaudamer technique. Biotechnology Letters. 31(6). 831–836. 8 indexed citations
20.
Shen, Chuanlai, et al.. (2006). Structural and functional characterization of peptide–β2m fused HLA-A2/MART127–35 complexes. Biochemical and Biophysical Research Communications. 342(1). 57–65. 8 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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