Guojun Yang

3.1k total citations
57 papers, 2.1k citations indexed

About

Guojun Yang is a scholar working on Molecular Biology, Immunology and Plant Science. According to data from OpenAlex, Guojun Yang has authored 57 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Molecular Biology, 20 papers in Immunology and 20 papers in Plant Science. Recurrent topics in Guojun Yang's work include Chromosomal and Genetic Variations (17 papers), Immunotherapy and Immune Responses (15 papers) and Genomics and Phylogenetic Studies (12 papers). Guojun Yang is often cited by papers focused on Chromosomal and Genetic Variations (17 papers), Immunotherapy and Immune Responses (15 papers) and Genomics and Phylogenetic Studies (12 papers). Guojun Yang collaborates with scholars based in United States, China and Canada. Guojun Yang's co-authors include Susan R. Wessler, Walter J. Urba, Hong‐Ming Hu, Lixin Wang, C. Nathan Hancock, Yuhuan Li, Hao Fang, Timothy C. Hall, K. Jagannadha Sastry and Hong He and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Guojun Yang

55 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Guojun Yang United States 25 931 803 792 289 278 57 2.1k
Tetsuya Yoshida Japan 18 400 0.4× 563 0.7× 422 0.5× 209 0.7× 311 1.1× 60 1.6k
Luis L. P. daSilva Brazil 27 1.7k 1.8× 442 0.6× 549 0.7× 338 1.2× 226 0.8× 61 2.9k
G Ju United States 29 1.6k 1.7× 446 0.6× 1.3k 1.6× 388 1.3× 334 1.2× 57 3.2k
Aidong Han China 21 1.3k 1.4× 247 0.3× 909 1.1× 309 1.1× 94 0.3× 43 2.4k
Hideharu Taira Japan 24 1.0k 1.1× 176 0.2× 627 0.8× 338 1.2× 282 1.0× 77 2.1k
Antonio Rausell France 18 1.2k 1.3× 147 0.2× 671 0.8× 115 0.4× 220 0.8× 32 2.1k
Zhaohui Xu United States 24 1.4k 1.5× 259 0.3× 276 0.3× 350 1.2× 323 1.2× 30 2.4k
Kira K. Lueders United States 27 1.7k 1.8× 539 0.7× 296 0.4× 180 0.6× 91 0.3× 58 2.3k
Gareth Howell United Kingdom 26 845 0.9× 160 0.2× 445 0.6× 205 0.7× 235 0.8× 45 1.8k
Masako Hasebe Japan 10 1.4k 1.5× 417 0.5× 129 0.2× 105 0.4× 126 0.5× 15 1.8k

Countries citing papers authored by Guojun Yang

Since Specialization
Citations

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

Fields of papers citing papers by Guojun Yang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Guojun Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Guojun Yang. A scholar is included among the top collaborators of Guojun 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 Guojun Yang. Guojun 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
1.
Yang, Guojun, Yong Ren, Ping Zhong, et al.. (2025). Histone demethylase PHF2 regulates inflammatory genes in Alzheimer’s disease. Molecular Psychiatry. 31(2). 845–859.
2.
Wang, Furong, Yu Jiang, Yu Zhang, et al.. (2024). The Multifaceted Role of Gut Microbiota in Sea Urchin Digestion: Diversity, Function, Symbiosis, and Carbohydrate Degradation. Aquaculture Research. 2024(1). 2 indexed citations
3.
Shi, Chunhua, Guojun Yang, Qing Shi, et al.. (2023). Preclinical development of 1B7/CD3, a novel anti-TSLPR bispecific antibody that targets CRLF2-rearranged Ph-like B-ALL. Leukemia. 37(10). 2006–2016. 6 indexed citations
4.
5.
Dorta‐Estremera, Stephanie, Gloria Sierra, Courtney Nicholas, et al.. (2018). Mucosal HPV E6/E7 Peptide Vaccination in Combination with Immune Checkpoint Modulation Induces Regression of HPV+ Oral Cancers. Cancer Research. 78(18). 5327–5339. 25 indexed citations
6.
Zhou, Mingbing, Hui Hu, Csaba Miskey, et al.. (2017). Transposition of the bamboo Mariner-like element Ppmar1 in yeast. Molecular Phylogenetics and Evolution. 109. 367–374. 6 indexed citations
7.
Liu, Yuan & Guojun Yang. (2014). Tc1-like transposable elements in plant genomes. Mobile DNA. 5(1). 17–17. 18 indexed citations
8.
Singh, Shailbala, Pramod N. Nehete, Patrick W. Hanley, et al.. (2014). Procedures for Mucosal Immunization and Analyses of Cellular Immune Response to Candidate HIV Vaccines in Murine and Nonhuman Primate Models. Methods in molecular biology. 1184. 417–455. 4 indexed citations
9.
Singh, Shailbala, Guojun Yang, Siddappa N. Byrareddy, Michael A. Barry, & K. Jagannadha Sastry. (2014). Natural killer T cell and TLR9 agonists as mucosal adjuvants for sublingual vaccination with clade C HIV-1 envelope protein. Vaccine. 32(51). 6934–6940. 20 indexed citations
10.
11.
He, Hong, Pramod N. Nehete, Bharti Nehete, et al.. (2011). Functional Impairment of Central Memory CD4 T Cells Is a Potential Early Prognostic Marker for Changing Viral Load in SHIV-Infected Rhesus Macaques. PLoS ONE. 6(5). e19607–e19607. 10 indexed citations
12.
Wang, Lixin, Yuhuan Li, Guojun Yang, et al.. (2010). CD122+CD8+ Treg suppress vaccine‐induced antitumor immune responses in lymphodepleted mice. European Journal of Immunology. 40(5). 1375–1385. 27 indexed citations
13.
Baker, Mariah R., Liangwen Xiong, Ryan E. Loy, et al.. (2009). Crystal structure of dimeric cardiac L-type calcium channel regulatory domains bridged by Ca 2+ ·calmodulins. Proceedings of the National Academy of Sciences. 106(13). 5135–5140. 88 indexed citations
14.
Halling, D. Brent, Dimitra K. Georgiou, D. J. Black, et al.. (2009). Determinants in CaV1 Channels That Regulate the Ca2+ Sensitivity of Bound Calmodulin. Journal of Biological Chemistry. 284(30). 20041–20051. 39 indexed citations
15.
Li, Yuhuan, Lixin Wang, Guojun Yang, et al.. (2008). Efficient Cross-presentation Depends on Autophagy in Tumor Cells. Cancer Research. 68(17). 6889–6895. 246 indexed citations
16.
Yang, Guojun, Feng Zhang, C. Nathan Hancock, & Susan R. Wessler. (2007). Transposition of the rice miniature inverted repeat transposable element mPing in Arabidopsis thaliana. Proceedings of the National Academy of Sciences. 104(26). 10962–10967. 85 indexed citations
17.
Chu, Yiwei, Guojun Yang, Helen J. Ross, et al.. (2006). Efficacy of GM-CSF-producing Tumor Vaccine after Docetaxel Chemotherapy in Mice Bearing Established Lewis Lung Carcinoma. Journal of Immunotherapy. 29(4). 367–380. 58 indexed citations
18.
Yang, Guojun, Yeon‐Hee Lee, Yiming Jiang, et al.. (2005). A Two-Edged Role for the Transposable Element Kiddo in the rice ubiquitin2 Promoter. The Plant Cell. 17(5). 1559–1568. 62 indexed citations
19.
Yang, Guojun & Timothy C. Hall. (2003). MDM -1 and MDM -2: Two Mutator -Derived MITE Families in Rice. Journal of Molecular Evolution. 56(3). 255–264. 26 indexed citations
20.
Yang, Guojun, Jiaqi Dong, Mahesh B. Chandrasekharan, & Timothy C. Hall. (2001). Kiddo, a new transposable element family closely associated with rice genes. Molecular Genetics and Genomics. 266(3). 417–424. 39 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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