Xiaoni Gao
Impact in
-
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Psoriasis: Treatment and Pathogenesis
-
- Systemic Lupus Erythematosus Research
Papers in
- Genetics 4
- Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities 2
-
- T-cell and B-cell Immunology 4
- Immune Cell Function and Interaction 2
- Co-authors
- Luminita Pricop (4 shared papers)Yi Liu (2 shared papers)Emi Masuda (2 shared papers)Marissa C. Blank (2 shared papers)Patricia Redecha (1 shared paper)Michael N. Koss (2 shared papers)Noam Jacob (2 shared papers)Chaim Putterman (2 shared papers)
- Journals
- The Journal of Immunology (3 papers)Frontiers in Oncology (1 paper)Gene (1 paper)Journal of Leukocyte Biology (1 paper)Human Molecular Genetics (1 paper)
- Partner nations
- United StatesChinaSweden
In The Last Decade
Xiaoni Gao
10 papers receiving 266 citations
Peers
Comparison fields: 5 of 51
- Immunology 163
- Rheumatology 59
- Radiology, Nuclear Medicine and Imaging 73
- Oncology 44
- Molecular Biology 97
Countries citing papers authored by Xiaoni Gao
This map shows the geographic impact of Xiaoni Gao'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 Xiaoni Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoni Gao more than expected).
Fields of papers citing papers by Xiaoni Gao
This network shows the impact of papers produced by Xiaoni Gao. 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 Xiaoni Gao. The network helps show where Xiaoni Gao may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoni Gao, 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 | 2009 | 81 | |
| 2 | 2006 | 55 | |
| 3 | 2005 | 50 | |
| 4 | 2010 | 29 | |
| 5 | 2023 | 14 | |
| 6 | 2020 | 13 | |
| 7 | 2008 | 12 | |
| 8 | 2020 | 10 | |
| 9 | 2023 | 6 | |
| 10 | 2015 | 2 | |
| 11 | 2025 | 0 | |
| 12 | 2021 | 0 |
About Xiaoni Gao
Xiaoni Gao is a scholar working on Genetics, Immunology, Molecular Biology, Pulmonary and Respiratory Medicine and Oncology, having authored 12 papers that have together received 272 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (4 papers), Cancer-related Molecular Pathways (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Ferroptosis and cancer prognosis (2 papers), Thyroid Cancer Diagnosis and Treatment (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers), Immune Cell Function and Interaction (2 papers) and Plant Molecular Biology Research (1 paper). The work is most often cited by research in Immunology (163 citations), Rheumatology (59 citations), Radiology, Nuclear Medicine and Imaging (73 citations), Oncology (44 citations) and Molecular Biology (97 citations). Xiaoni Gao has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Luminita Pricop, Yi Liu, Emi Masuda, Marissa C. Blank, Patricia Redecha, Michael N. Koss, Noam Jacob, Chaim Putterman, William Stohl and Kyriakos A. Kirou. Their work appears in journals such as The Journal of Immunology, Frontiers in Oncology, Gene, Journal of Leukocyte Biology and Human Molecular Genetics.
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.