Aping Yuan
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- IL-33, ST2, and ILC Pathways
- Immunotherapy and Immune Responses
- Psoriasis: Treatment and Pathogenesis
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Cytokine Signaling Pathways and Interactions
- Cancer Cells and Metastasis
Papers in
- Immunology 15
- Immune Cell Function and Interaction 7
- IL-33, ST2, and ILC Pathways 6
- T-cell and B-cell Immunology 4
- Immunotherapy and Immune Responses 3
- Psoriasis: Treatment and Pathogenesis 3
- Oncology 13
- Cancer Immunotherapy and Biomarkers 7
- Cytokine Signaling Pathways and Interactions 5
- Cancer Cells and Metastasis 4
- Co-authors
- Guanglin Cui (22 shared papers)Jon Florholmen (8 shared papers)Rasmus Goll (8 shared papers)Wei Zheng (7 shared papers)Barthold Vonen (4 shared papers)Zhenfeng Li (8 shared papers)Hang Yang (2 shared papers)Li Zhu (3 shared papers)
In The Last Decade
Aping Yuan
24 papers receiving 615 citations
Peers
Comparison fields: 5 of 72
- Immunology 356
- Oncology 318
- Biological Psychiatry 13
- Pathology and Forensic Medicine 77
- Genetics 92
Countries citing papers authored by Aping Yuan
This map shows the geographic impact of Aping Yuan'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 Aping Yuan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aping Yuan more than expected).
Fields of papers citing papers by Aping Yuan
This network shows the impact of papers produced by Aping Yuan. 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 Aping Yuan. The network helps show where Aping Yuan may publish in the future.
Co-authors
The 25 scholars most cited alongside Aping Yuan, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 91 | |
| 2 | 2012 | 68 | |
| 3 | 2018 | 54 | |
| 4 | 2008 | 43 | |
| 5 | 2009 | 37 | |
| 6 | 2009 | 35 | |
| 7 | 2007 | 31 | |
| 8 | 2018 | 31 | |
| 9 | 2015 | 30 | |
| 10 | 2015 | 29 | |
| 11 | 2014 | 26 | |
| 12 | 2017 | 23 | |
| 13 | 2020 | 20 | |
| 14 | 2017 | 19 | |
| 15 | 2018 | 19 | |
| 16 | 2019 | 18 | |
| 17 | 2017 | 12 | |
| 18 | 2008 | 9 | |
| 19 | 2007 | 8 | |
| 20 | 2020 | 5 |
About Aping Yuan
Aping Yuan is a scholar working on Immunology, Oncology, Surgery, Epidemiology and Pathology and Forensic Medicine, having authored 24 papers that have together received 618 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), Cancer Immunotherapy and Biomarkers (7 papers), IL-33, ST2, and ILC Pathways (6 papers), Cytokine Signaling Pathways and Interactions (5 papers), Cancer Cells and Metastasis (4 papers), T-cell and B-cell Immunology (4 papers), Immunotherapy and Immune Responses (3 papers) and Psoriasis: Treatment and Pathogenesis (3 papers). The work is most often cited by research in Immunology (356 citations), Oncology (318 citations), Biological Psychiatry (13 citations), Pathology and Forensic Medicine (77 citations) and Genetics (92 citations). Aping Yuan has collaborated with scholars based in Norway, China and Spain. Frequent co-authors include Guanglin Cui, Jon Florholmen, Rasmus Goll, Wei Zheng, Barthold Vonen, Zhenfeng Li, Hang Yang, Li Zhu, Jingli Ren and Gang Xu. Their work appears in journals such as Pathology & Oncology Research, Cancer Immunology Immunotherapy, Scientific Reports, Histopathology and Apmis.
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.