Aibo Wang

2.0k citations
11 papers · 1.1k indexed · h-index 11

Impact in

  • Immunology top 5%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • IL-33, ST2, and ILC Pathways
  • Oncology top 10%
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers

Papers in

    • T-cell and B-cell Immunology 7
    • Immune Cell Function and Interaction 6
    • Immunotherapy and Immune Responses 5
    • IL-33, ST2, and ILC Pathways 1
    • Ubiquitin and proteasome pathways 3
    • TGF-β signaling in diseases 1

Aibo Wang

11 papers receiving 1.1k citations

Peers

Aibo Wang
Comparison fields: 5 of 84
  • Immunology 790
  • Oncology 260
  • Cancer Research 138
  • Virology 25
  • Molecular Biology 342
Replace Konstantin V. Salojin with:
Konstantin V. Salojin Canada
Samuel L. Collins United States
Thomas Gruber Austria
Sandra J. Saouaf United States
Jagan Muppidi United States
Jean‐Philip Truman United States
Yvonne Vercoulen Netherlands
Timothy Schappe United States
Anke Zobywalski Germany
Aibo Wang relative to Konstantin V. Salojin Canada Konstantin V. Salojin's profile →
Citations per field
00.5×7.1×
Konstantin V. Salojin · 1×
Citations per year

Countries citing papers authored by Aibo Wang

Since Specialization
Citations

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

Fields of papers citing papers by Aibo Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Aibo Wang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Aibo Wang Line = papers co-authored together Aibo Wang links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 2014254
2 2012202
3 2012158
4 2018121
5 2018118
6 200973
7 201362
8 201953
9 201651
10 201735
11 201721

About Aibo Wang

Aibo Wang is a scholar working on Immunology, Molecular Biology, Cellular and Molecular Neuroscience, Pathology and Forensic Medicine and Oncology, having authored 11 papers that have together received 1.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (6 papers), Immunotherapy and Immune Responses (5 papers), Ubiquitin and proteasome pathways (3 papers), Lymphoma Diagnosis and Treatment (1 paper), TGF-β signaling in diseases (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper) and IL-33, ST2, and ILC Pathways (1 paper). The work is most often cited by research in Immunology (790 citations), Oncology (260 citations), Cancer Research (138 citations), Virology (25 citations) and Molecular Biology (342 citations). Aibo Wang has collaborated with scholars based in United States, China and France. Frequent co-authors include Chen Dong, Bo Zhong, Xindong Liu, Xiaohu Wang, Seon Hee Chang, Xiaowei Yan, Roza Nurieva, Qiang Tian, Jianfei Qian and Xingzhe Ma. Their work appears in journals such as The Journal of Immunology, The Journal of Experimental Medicine, EBioMedicine, Cell Reports and Communications Biology.

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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