Xiaoyu An
Impact in
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- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- Immune cells in cancer
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- CAR-T cell therapy research
- Cancer Immunotherapy and Biomarkers
- Cancer Cells and Metastasis
Papers in
- Immunology 15
- Immunotherapy and Immune Responses 9
- Phagocytosis and Immune Regulation 6
- Immune Cell Function and Interaction 4
- Oncology 11
- CAR-T cell therapy research 6
- Cancer Immunotherapy and Biomarkers 4
- Co-authors
- Qi‐Xiang Li (8 shared papers)Xuesong Ouyang (6 shared papers)Gerold Feuer (1 shared paper)Gang Liu (7 shared papers)Rajendra Kumari (2 shared papers)Andrew Cotterill (1 shared paper)Shannon E. Best (1 shared paper)Christine A. Wells (1 shared paper)
- Journals
- Scientific Reports (5 papers)Journal of Visualized Experiments (2 papers)Angewandte Chemie International Edition (2 papers)Cancer Research (2 papers)Molecular Cancer Therapeutics (1 paper)
- Partner nations
- ChinaUnited StatesSingapore
In The Last Decade
Xiaoyu An
29 papers receiving 229 citations
Peers
Comparison fields: 5 of 65
- Immunology 99
- Oncology 100
- Biotechnology 20
- Cancer Research 26
- Genetics 41
Countries citing papers authored by Xiaoyu An
This map shows the geographic impact of Xiaoyu An'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 Xiaoyu An with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyu An more than expected).
Fields of papers citing papers by Xiaoyu An
This network shows the impact of papers produced by Xiaoyu An. 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 Xiaoyu An. The network helps show where Xiaoyu An may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoyu An, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 41 | |
| 2 | 2022 | 40 | |
| 3 | 2012 | 35 | |
| 4 | 2021 | 17 | |
| 5 | 2024 | 16 | |
| 6 | 2023 | 15 | |
| 7 | 2025 | 11 | |
| 8 | 2024 | 10 | |
| 9 | 2023 | 10 | |
| 10 | 2019 | 8 | |
| 11 | 2016 | 7 | |
| 12 | 2024 | 6 | |
| 13 | 2018 | 5 | |
| 14 | 2024 | 4 | |
| 15 | 2023 | 4 | |
| 16 | 2018 | 4 | |
| 17 | 2018 | 3 | |
| 18 | 2018 | 3 | |
| 19 | 2024 | 2 | |
| 20 | 2025 | 2 |
About Xiaoyu An
Xiaoyu An is a scholar working on Immunology, Oncology, Molecular Biology, Surgery and Biotechnology, having authored 32 papers that have together received 255 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (9 papers), Phagocytosis and Immune Regulation (6 papers), CAR-T cell therapy research (6 papers), Cancer Research and Treatments (4 papers), Immune Cell Function and Interaction (4 papers), Cancer Immunotherapy and Biomarkers (4 papers), Parasitic infections in humans and animals (3 papers) and Congenital Anomalies and Fetal Surgery (3 papers). The work is most often cited by research in Immunology (99 citations), Oncology (100 citations), Biotechnology (20 citations), Cancer Research (26 citations) and Genetics (41 citations). Xiaoyu An has collaborated with scholars based in China, United States and Singapore. Frequent co-authors include Qi‐Xiang Li, Xuesong Ouyang, Gerold Feuer, Gang Liu, Rajendra Kumari, Andrew Cotterill, Shannon E. Best, Christine A. Wells, Patricia Gallego and Gethin Thomas. Their work appears in journals such as Scientific Reports, Journal of Visualized Experiments, Angewandte Chemie International Edition, Cancer Research and Molecular Cancer Therapeutics.
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.