Junbao Yang

2.0k total citations
55 papers, 1.4k citations indexed

About

Junbao Yang is a scholar working on Immunology, Genetics and Molecular Biology. According to data from OpenAlex, Junbao Yang has authored 55 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Immunology, 21 papers in Genetics and 20 papers in Molecular Biology. Recurrent topics in Junbao Yang's work include Immune Cell Function and Interaction (22 papers), T-cell and B-cell Immunology (13 papers) and Diabetes and associated disorders (12 papers). Junbao Yang is often cited by papers focused on Immune Cell Function and Interaction (22 papers), T-cell and B-cell Immunology (13 papers) and Diabetes and associated disorders (12 papers). Junbao Yang collaborates with scholars based in United States, China and Canada. Junbao Yang's co-authors include William W. Kwok, Eddie A. James, Carla J. Greenbaum, Nancy A. Danke, Michelle Roti, Jim Xiang, I‐Ting Chow, Helena Reijonen, Jonathan H. DeLong and Terence Moyana and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and The Journal of Immunology.

In The Last Decade

Junbao Yang

54 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Junbao Yang United States 22 742 495 377 271 191 55 1.4k
Thomas Stratmann Spain 16 865 1.2× 481 1.0× 315 0.8× 238 0.9× 79 0.4× 28 1.3k
Todd Pearson United States 19 830 1.1× 483 1.0× 230 0.6× 327 1.2× 95 0.5× 30 1.5k
Christian Honoré Denmark 21 1.1k 1.5× 199 0.4× 614 1.6× 405 1.5× 192 1.0× 33 1.9k
Tom Wolfe United States 19 2.1k 2.8× 629 1.3× 522 1.4× 279 1.0× 310 1.6× 26 2.8k
Christophe Benoist France 7 1.2k 1.7× 465 0.9× 471 1.2× 157 0.6× 76 0.4× 8 1.8k
Jean‐Marie Tiercy Switzerland 26 989 1.3× 198 0.4× 405 1.1× 122 0.5× 125 0.7× 68 1.6k
Richard S. McIntosh United Kingdom 25 715 1.0× 170 0.3× 458 1.2× 112 0.4× 126 0.7× 50 1.6k
Andrew Getahun United States 26 1.1k 1.5× 208 0.4× 529 1.4× 105 0.4× 102 0.5× 49 1.7k
Janel Dockter United States 22 532 0.7× 306 0.6× 394 1.0× 323 1.2× 822 4.3× 34 1.7k
Ussama M. Abdel‐Motal United States 17 514 0.7× 179 0.4× 341 0.9× 322 1.2× 89 0.5× 29 1.0k

Countries citing papers authored by Junbao Yang

Since Specialization
Citations

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

Fields of papers citing papers by Junbao Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Junbao Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Junbao Yang. A scholar is included among the top collaborators of Junbao Yang 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 Junbao Yang. Junbao Yang 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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He, Guanglin, Jiawen Wang, Lin Yang, et al.. (2023). Genome-wide allele and haplotype-sharing patterns suggested one unique Hmong–Mein-related lineage and biological adaptation history in Southwest China. Human Genomics. 17(1). 3–3. 11 indexed citations
5.
Yang, Junbao, et al.. (2023). Design and Simulation of a Magnetization Drive Coil Based on the Helmholtz Principle and an Experimental Study. Micromachines. 14(1). 152–152. 3 indexed citations
6.
Meng, Chunyang, Lei Peng, Jinze Li, et al.. (2021). Comparison of enucleation between thulium laser and holmium laser for benign prostatic hyperplasia: A systematic review and meta-analysis. Asian Journal of Surgery. 45(2). 689–697. 10 indexed citations
7.
Liu, Yan, Junbao Yang, Yingxiang Li, et al.. (2021). Significant East Asian Affinity of the Sichuan Hui Genomic Structure Suggests the Predominance of the Cultural Diffusion Model in the Genetic Formation Process. Frontiers in Genetics. 12. 626710–626710. 10 indexed citations
8.
Wen, Xiaomin, Junbao Yang, Eddie A. James, et al.. (2020). Increased islet antigen–specific regulatory and effector CD4 + T cells in healthy individuals with the type 1 diabetes–protective haplotype. Science Immunology. 5(44). 22 indexed citations
9.
Yang, Junbao, Jayasri G. Iyer, Dafina Ibrani, et al.. (2019). Human CD4+ T Cells Specific for Merkel Cell Polyomavirus Localize to Merkel Cell Carcinomas and Target a Required Oncogenic Domain. Cancer Immunology Research. 7(10). 1727–1739. 21 indexed citations
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Yang, Junbao, Lichen Jing, Eddie A. James, et al.. (2018). A Novel Approach of Identifying Immunodominant Self and Viral Antigen Cross-Reactive T Cells and Defining the Epitopes They Recognize. Frontiers in Immunology. 9. 2811–2811. 3 indexed citations
11.
Yang, Junbao, Xiaomin Wen, Hengyu Xu, et al.. (2017). Antigen-Specific T Cell Analysis Reveals That Active Immune Responses to β Cell Antigens Are Focused on a Unique Set of Epitopes. The Journal of Immunology. 199(1). 91–96. 22 indexed citations
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Cerosaletti, Karen, Junbao Yang, Hannah A. DeBerg, et al.. (2017). Single-Cell RNA Sequencing Reveals Expanded Clones of Islet Antigen-Reactive CD4+ T Cells in Peripheral Blood of Subjects with Type 1 Diabetes. The Journal of Immunology. 199(1). 323–335. 65 indexed citations
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Yang, Junbao, I‐Ting Chow, Tomasz Sosinowski, et al.. (2014). Autoreactive T cells specific for insulin B:11-23 recognize a low-affinity peptide register in human subjects with autoimmune diabetes. Proceedings of the National Academy of Sciences. 111(41). 14840–14845. 99 indexed citations
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Mu, Bo, et al.. (2013). Screening of Multiple Myeloma by Polyclonal Rabbit Anti-Human Plasmacytoma Cell Immunoglobulin. PLoS ONE. 8(4). e59117–e59117. 2 indexed citations
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Ge, Xinhui, John A. Gebe, Paul L. Bollyky, et al.. (2010). Peptide-MHC Cellular Microarray with Innovative Data Analysis System for Simultaneously Detecting Multiple CD4 T-Cell Responses. PLoS ONE. 5(6). e11355–e11355. 17 indexed citations
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Lee, Dong Eun, et al.. (2008). Transmissible Infection of Human 293T Cells With Porcine Endogenous Retroviruses Subgroup A From NIH-Miniature Pig. Transplantation Proceedings. 40(10). 3742–3745. 6 indexed citations
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Yang, Junbao, Nancy A. Danke, Helena Reijonen, et al.. (2006). Islet-Specific Glucose-6-Phosphatase Catalytic Subunit-Related Protein-Reactive CD4+ T Cells in Human Subjects. The Journal of Immunology. 176(5). 2781–2789. 87 indexed citations
18.
Yang, Junbao, Andrés Jaramillo, Nancy Steward, et al.. (2004). Correlation between interleukin-15 and granzyme B expression and acute lung allograft rejection. Transplant Immunology. 12(2). 103–108. 23 indexed citations
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Yang, Junbao, Zongchao Jia, & Jim Xiang. (1999). Substitution of Surface‐Exposed Framework Residues Alters Secretion of Recombinant Fusion Protein Fv/Tumor Necrosis Factor in Escherichia coli. IUBMB Life. 48(3). 327–332. 4 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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