Ai-Di Gu

595 total citations
11 papers, 469 citations indexed

About

Ai-Di Gu is a scholar working on Oncology, Immunology and Infectious Diseases. According to data from OpenAlex, Ai-Di Gu has authored 11 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 5 papers in Immunology and 4 papers in Infectious Diseases. Recurrent topics in Ai-Di Gu's work include Viral-associated cancers and disorders (5 papers), Parvovirus B19 Infection Studies (4 papers) and Immune Cell Function and Interaction (4 papers). Ai-Di Gu is often cited by papers focused on Viral-associated cancers and disorders (5 papers), Parvovirus B19 Infection Studies (4 papers) and Immune Cell Function and Interaction (4 papers). Ai-Di Gu collaborates with scholars based in China, United States and Austria. Ai-Di Gu's co-authors include Yisong Y. Wan, Yunqi Wang, Song Zhang, Lin Lin, Zengli Guo, Weidong Hao, Albert S. Baldwin, Han C. Dan, Yan Zhao and Lishan Su and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Immunity.

In The Last Decade

Ai-Di Gu

11 papers receiving 462 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ai-Di Gu China 10 263 167 149 59 52 11 469
Pauline G. Knox United Kingdom 9 204 0.8× 162 1.0× 170 1.1× 34 0.6× 77 1.5× 12 428
Michaël Loschi France 12 335 1.3× 166 1.0× 217 1.5× 34 0.6× 127 2.4× 37 626
S Teglund Sweden 6 207 0.8× 233 1.4× 142 1.0× 22 0.4× 75 1.4× 8 433
Minghua Zhu China 5 180 0.7× 209 1.3× 113 0.8× 41 0.7× 55 1.1× 18 371
Tue Kruse Rasmussen Denmark 13 254 1.0× 105 0.6× 146 1.0× 66 1.1× 37 0.7× 21 543
Jocelyn S. Downey United Kingdom 7 132 0.5× 141 0.8× 334 2.2× 35 0.6× 109 2.1× 11 536
M. Nusrat Sharif United States 6 314 1.2× 138 0.8× 100 0.7× 21 0.4× 41 0.8× 6 480
Kouji Kato Japan 8 244 0.9× 219 1.3× 119 0.8× 20 0.3× 37 0.7× 10 459
Nicola Fantò Italy 6 333 1.3× 77 0.5× 158 1.1× 34 0.6× 99 1.9× 8 509
Sherry H.-Y. Wei France 4 441 1.7× 189 1.1× 82 0.6× 32 0.5× 32 0.6× 4 598

Countries citing papers authored by Ai-Di Gu

Since Specialization
Citations

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

Fields of papers citing papers by Ai-Di Gu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ai-Di Gu. 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 Ai-Di Gu. The network helps show where Ai-Di Gu may publish in the future.

Co-authorship network of co-authors of Ai-Di Gu

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

All Works

11 of 11 papers shown
1.
Zhang, Song, Motoki Takaku, Liyun Zou, et al.. (2017). Reversing SKI–SMAD4-mediated suppression is essential for TH17 cell differentiation. Nature. 551(7678). 105–109. 82 indexed citations
2.
Abdul‐Sater, Ali A., Andrea Majoros, Courtney R. Plumlee, et al.. (2015). Different STAT Transcription Complexes Drive Early and Delayed Responses to Type I IFNs. The Journal of Immunology. 195(1). 210–216. 28 indexed citations
3.
4.
Wang, Yunqi, Ichiro Misumi, Ai-Di Gu, et al.. (2013). GATA-3 controls the maintenance and proliferation of T cells downstream of TCR and cytokine signaling. Nature Immunology. 14(7). 714–722. 79 indexed citations
5.
Gu, Ai-Di, Mu‐Sheng Zeng, & Chao-Nan Qian. (2012). The Criteria to Confirm the Role of Epstein-Barr Virus in Nasopharyngeal Carcinoma Initiation. International Journal of Molecular Sciences. 13(10). 13737–13747. 16 indexed citations
6.
Zhao, Yan, Yunqi Wang, Zengli Guo, et al.. (2012). Dihydroartemisinin Ameliorates Inflammatory Disease by Its Reciprocal Effects on Th and Regulatory T Cell Function via Modulating the Mammalian Target of Rapamycin Pathway. The Journal of Immunology. 189(9). 4417–4425. 97 indexed citations
7.
Gu, Ai-Di, Yunqi Wang, Lin Lin, Song Zhang, & Yisong Y. Wan. (2012). Requirements of transcription factor Smad-dependent and -independent TGF-β signaling to control discrete T-cell functions. Proceedings of the National Academy of Sciences. 109(3). 905–910. 74 indexed citations
8.
Gu, Ai-Di, Li-Xia Lu, Li-Zhen Chen, et al.. (2009). Clinical values of multiple Epstein-Barr virus (EBV) serological biomarkers detected by xMAP technology. Journal of Translational Medicine. 7(1). 73–73. 19 indexed citations
9.
Gu, Ai-Di, Hao-Yuan Mo, Jin‐Xin Bei, et al.. (2009). Evaluation of Antibodies against Different Epstein-Barr Virus Nuclear Antigen 1 Peptides in Diagnosis of Nasopharyngeal Carcinoma. Clinical and Vaccine Immunology. 16(4). 592–593. 3 indexed citations
10.
11.
Gu, Ai-Di, Hao-Yuan Mo, Wei-Hua Jia, et al.. (2008). Antibodies against Epstein–Barr virus gp78 antigen: a novel marker for serological diagnosis of nasopharyngeal carcinoma detected by xMAP technology. Journal of General Virology. 89(5). 1152–1158. 14 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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Breakdown of academic impact, for papers by Pauline G. Knox Breakdown of academic impact, for papers by Michaël Loschi Breakdown of academic impact, for papers by S Teglund Breakdown of academic impact, for papers by Minghua Zhu Breakdown of academic impact, for papers by Tue Kruse Rasmussen Breakdown of academic impact, for papers by Jocelyn S. Downey Breakdown of academic impact, for papers by M. Nusrat Sharif Breakdown of academic impact, for papers by Kouji Kato Breakdown of academic impact, for papers by Nicola Fantò Breakdown of academic impact, for papers by Sherry H.-Y. Wei
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2026