Xinbo Yang

2.2k total citations
25 papers, 1.2k citations indexed

About

Xinbo Yang is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Xinbo Yang has authored 25 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 8 papers in Molecular Biology and 7 papers in Oncology. Recurrent topics in Xinbo Yang's work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (7 papers) and CAR-T cell therapy research (6 papers). Xinbo Yang is often cited by papers focused on Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (7 papers) and CAR-T cell therapy research (6 papers). Xinbo Yang collaborates with scholars based in United States, China and United Kingdom. Xinbo Yang's co-authors include K. Christopher García, Ricardo A. Fernandes, Leah V. Sibener, Marvin H. Gee, Kevin M. Jude, Michael E. Birnbaum, Roy A. Mariuzza, Gerhard Giebisch, Qingshang Yan and Tong Wang and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Xinbo Yang

24 papers receiving 1.2k citations

Peers

Xinbo Yang

IMMUN

ONCOL

RNMI

GENET

Gurunadh R. Chichili United States

Alexandra Flemming United States

Margery A. Chaikin United States

Wolfgang Paster Austria

Page Bouchard United States

Shen Dong China

Wan‐Lin Lo United States

Sašo Čemerski United States

Jérôme Bernard France

Jennifer E. Smith‐Garvin United States

Gurunadh R. Chichili United States

Xinbo Yang

267 ×0.4

IMMUN

525 ×1.1

398 ×1.0

ONCOL

209 ×1.2

RNMI

55 ×0.6

GENET

Citations per year, relative to Xinbo Yang Xinbo Yang (= 1×) peers Gurunadh R. Chichili

Countries citing papers authored by Xinbo Yang

Since Specialization

Citations

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

Fields of papers citing papers by Xinbo Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Xinbo Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Xinbo Yang. A scholar is included among the top collaborators of Xinbo 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 Xinbo Yang. Xinbo Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Hé, Ying, et al.. (2025). The 4977 Bp Deletion of Mitochondrial DNA as a Potential Trait Marker for Major Depressive Disorder. Neuropsychiatric Disease and Treatment. Volume 21. 867–873.

Yang, Yuting, Ting Long, Xiaoxue Wang, et al.. (2025). Hyperhomocysteinaemia aggravates periodontitis by suppressing the Nrf2/HO-1 signalling pathway. Redox Report. 30(1). 2475691–2475691. 2 indexed citations

Du, Haotian, Kevin M. Jude, Xinbo Yang, et al.. (2024). A general system for targeting MHC class II–antigen complex via a single adaptable loop. Nature Biotechnology. 43(10). 1673–1682. 3 indexed citations

Yang, Xinbo, Daisuke Nishimiya, Sara Löchte, et al.. (2023). Facile repurposing of peptide–MHC-restricted antibodies for cancer immunotherapy. Nature Biotechnology. 41(7). 932–943. 34 indexed citations

Yang, Xinbo, Lee Garner, Ivan V. Zvyagin, et al.. (2022). Autoimmunity-associated T cell receptors recognize HLA-B*27-bound peptides. Nature. 612(7941). 771–777. 85 indexed citations

Zhao, Xiang, Elizabeth Motunrayo Kolawole, Waipan Chan, et al.. (2022). Tuning T cell receptor sensitivity through catch bond engineering. Science. 376(6589). eabl5282–eabl5282. 88 indexed citations

Fernandes, Ricardo A., Leon Su, Yoko Nishiga, et al.. (2020). Immune receptor inhibition through enforced phosphatase recruitment. Nature. 586(7831). 779–784. 78 indexed citations

Fernandes, Ricardo A., Chaoran Li, Gang Wang, et al.. (2020). Discovery of surrogate agonists for visceral fat Treg cells that modulate metabolic indices in vivo. eLife. 9. 23 indexed citations

Gee, Marvin H., Leah V. Sibener, Michael E. Birnbaum, et al.. (2018). Stress-testing the relationship between T cell receptor/peptide-MHC affinity and cross-reactivity using peptide velcro. Proceedings of the National Academy of Sciences. 115(31). E7369–E7378. 18 indexed citations

10.

Chen, Guobing, Xinbo Yang, Xiaoping Sun, et al.. (2017). Sequence and Structural Analyses Reveal Distinct and Highly Diverse Human CD8+ TCR Repertoires to Immunodominant Viral Antigens. Cell Reports. 19(3). 569–583. 92 indexed citations

11.

Gee, Marvin H., Arnold Han, Shane Lofgren, et al.. (2017). Antigen Identification for Orphan T Cell Receptors Expressed on Tumor-Infiltrating Lymphocytes. Cell. 172(3). 549–563.e16. 193 indexed citations

12.

Yang, Xinbo, Guobing Chen, Nan‐ping Weng, & Roy A. Mariuzza. (2017). Structural basis for clonal diversity of the human T-cell response to a dominant influenza virus epitope. Journal of Biological Chemistry. 292(45). 18618–18627. 18 indexed citations

13.

Yang, Xinbo, Mingming Gao, Guobing Chen, et al.. (2015). Structural Basis for Clonal Diversity of the Public T Cell Response to a Dominant Human Cytomegalovirus Epitope. Journal of Biological Chemistry. 290(48). 29106–29119. 29 indexed citations

14.

Luo, Ming, Carlos A. Velikovsky, Xinbo Yang, et al.. (2013). Recognition of the Thomsen-Friedenreich Pancarcinoma Carbohydrate Antigen by a Lamprey Variable Lymphocyte Receptor. Journal of Biological Chemistry. 288(32). 23597–23606. 35 indexed citations

15.

Yang, Xinbo, Yakun Wang, Zekuan Lu, et al.. (2009). A novel serine protease inhibitor from the venom of Vespa bicolor Fabricius. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 153(1). 116–120. 27 indexed citations

16.

Chen, Wenhu, Xinbo Yang, Xiaolong Yang, et al.. (2008). Antimicrobial peptides from the venoms of Vespa bicolor Fabricius. Peptides. 29(11). 1887–1892. 41 indexed citations

17.

Yan, Qingshang, Xinbo Yang, Alessandra Cantone, et al.. (2008). Female ROMK null mice manifest more severe Bartter II phenotype on renal function and higher PGE₂production. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 295(3). R997–R1004. 17 indexed citations

18.

Cantone, Alessandra, Xinbo Yang, Qingshang Yan, et al.. (2008). Mouse model of type II Bartter's syndrome. I. Upregulation of thiazide-sensitive Na-Cl cotransport activity. American Journal of Physiology-Renal Physiology. 294(6). F1366–F1372. 37 indexed citations

19.

Yu, Haining, et al.. (2007). A serine proteinase inhibitor from frog eggs with bacteriostatic activity. Comparative Biochemistry and Physiology Part B Biochemistry and Molecular Biology. 149(1). 58–62. 38 indexed citations

20.

Lu, Ming, Tong Wang, Qingshang Yan, et al.. (2002). Absence of Small Conductance K+ Channel (SK) Activity in Apical Membranes of Thick Ascending Limb and Cortical Collecting Duct in ROMK (Bartter's) Knockout Mice. Journal of Biological Chemistry. 277(40). 37881–37887. 130 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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