Ai-Di Gu
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- IL-33, ST2, and ILC Pathways
- Immunotherapy and Immune Responses
- Psoriasis: Treatment and Pathogenesis
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- Cytokine Signaling Pathways and Interactions
- Viral-associated cancers and disorders
Papers in
- Oncology 7
- Viral-associated cancers and disorders 5
- Polyomavirus and related diseases 2
-
- Immune Cell Function and Interaction 4
- T-cell and B-cell Immunology 3
- interferon and immune responses 1
- Co-authors
- Yisong Y. Wan (5 shared papers)Yunqi Wang (4 shared papers)Song Zhang (3 shared papers)Lin Lin (1 shared paper)Albert S. Baldwin (1 shared paper)Yan Zhao (1 shared paper)Han C. Dan (1 shared paper)Zengli Guo (1 shared paper)
- Journals
- The Journal of Immunology (2 papers)Clinical and Vaccine Immunology (2 papers)Journal of Translational Medicine (1 paper)Journal of General Virology (1 paper)Immunity (1 paper)
- Partner nations
- ChinaUnited StatesAustria
In The Last Decade
Ai-Di Gu
11 papers receiving 462 citations
Peers
Comparison fields: 5 of 63
- Immunology 263
- Oncology 167
- Cancer Research 52
- Pathology and Forensic Medicine 59
- Otorhinolaryngology 12
Countries citing papers authored by Ai-Di Gu
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
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-authors
The 25 scholars most cited alongside Ai-Di Gu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 97 | |
| 2 | 2017 | 82 | |
| 3 | 2013 | 79 | |
| 4 | 2012 | 74 | |
| 5 | 2014 | 44 | |
| 6 | 2015 | 28 | |
| 7 | 2009 | 19 | |
| 8 | 2012 | 16 | |
| 9 | 2008 | 14 | |
| 10 | 2008 | 13 | |
| 11 | 2009 | 3 |
About Ai-Di Gu
Ai-Di Gu is a scholar working on Oncology, Immunology, Infectious Diseases, Pathology and Forensic Medicine and Epidemiology, having authored 11 papers that have together received 469 indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (5 papers), Parvovirus B19 Infection Studies (4 papers), Immune Cell Function and Interaction (4 papers), Lymphoma Diagnosis and Treatment (3 papers), T-cell and B-cell Immunology (3 papers), Polyomavirus and related diseases (2 papers), interferon and immune responses (1 paper) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Immunology (263 citations), Oncology (167 citations), Cancer Research (52 citations), Pathology and Forensic Medicine (59 citations) and Otorhinolaryngology (12 citations). Ai-Di Gu has collaborated with scholars based in China, United States and Austria. Frequent co-authors include Yisong Y. Wan, Yunqi Wang, Song Zhang, Lin Lin, Albert S. Baldwin, Yan Zhao, Han C. Dan, Zengli Guo, Weidong Hao and Lishan Su. Their work appears in journals such as The Journal of Immunology, Clinical and Vaccine Immunology, Journal of Translational Medicine, Journal of General Virology and Immunity.
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.