Danni Yu
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- Lymphatic System and Diseases
-
- Immune Cell Function and Interaction
- Immune cells in cancer
- Immunotherapy and Immune Responses
- Galectins and Cancer Biology
- Phagocytosis and Immune Regulation
Papers in
- Oncology 13
- Cancer Immunotherapy and Biomarkers 9
- Lung Cancer Research Studies 3
- Cancer Cells and Metastasis 2
-
- Advanced Breast Cancer Therapies 3
- Lung Cancer Treatments and Mutations 2
- Co-authors
- John C. Kraft (1 shared paper)Rodney J. Y. Ho (1 shared paper)Anna M. Szpurka (4 shared papers)Yu Gao (1 shared paper)John Kauh (5 shared papers)Yung‐Jue Bang (3 shared papers)Amita Patnaik (3 shared papers)Maria J. de Miguel (3 shared papers)
- Journals
- Journal of Clinical Oncology (4 papers)Clinical Cancer Research (2 papers)Investigational New Drugs (2 papers)Cancer Chemotherapy and Pharmacology (2 papers)Life Sciences (1 paper)
- Partner nations
- United StatesSpainChina
In The Last Decade
Danni Yu
19 papers receiving 415 citations
Peers
Comparison fields: 5 of 64
- Oncology 242
- Immunology 177
- Virology 20
- Pathology and Forensic Medicine 36
- Pulmonary and Respiratory Medicine 62
Countries citing papers authored by Danni Yu
This map shows the geographic impact of Danni Yu'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 Danni Yu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danni Yu more than expected).
Fields of papers citing papers by Danni Yu
This network shows the impact of papers produced by Danni Yu. 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 Danni Yu. The network helps show where Danni Yu may publish in the future.
Co-authors
The 25 scholars most cited alongside Danni Yu, 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 | 2021 | 116 | |
| 2 | 2016 | 56 | |
| 3 | 2018 | 44 | |
| 4 | 2021 | 35 | |
| 5 | 2020 | 31 | |
| 6 | 2021 | 29 | |
| 7 | 2022 | 21 | |
| 8 | 2019 | 16 | |
| 9 | 2022 | 14 | |
| 10 | 2024 | 12 | |
| 11 | 2012 | 12 | |
| 12 | 2022 | 11 | |
| 13 | 2017 | 7 | |
| 14 | 2017 | 6 | |
| 15 | 2023 | 2 | |
| 16 | 2023 | 2 | |
| 17 | 2015 | 2 | |
| 18 | 2018 | 2 | |
| 19 | 2024 | 1 | |
| 20 | 2025 | 0 |
About Danni Yu
Danni Yu is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Molecular Biology, Immunology and Surgery, having authored 20 papers that have together received 419 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (9 papers), Lung Cancer Research Studies (3 papers), Advanced Breast Cancer Therapies (3 papers), Immune cells in cancer (3 papers), Cancer Cells and Metastasis (2 papers), Bladder and Urothelial Cancer Treatments (2 papers), T-cell and B-cell Immunology (2 papers) and Lung Cancer Treatments and Mutations (2 papers). The work is most often cited by research in Oncology (242 citations), Immunology (177 citations), Virology (20 citations), Pathology and Forensic Medicine (36 citations) and Pulmonary and Respiratory Medicine (62 citations). Danni Yu has collaborated with scholars based in United States, Spain and China. Frequent co-authors include John C. Kraft, Rodney J. Y. Ho, Anna M. Szpurka, Yu Gao, John Kauh, Yung‐Jue Bang, Amita Patnaik, Maria J. de Miguel, Leena Gandhi and Emiliano Calvo. Their work appears in journals such as Journal of Clinical Oncology, Clinical Cancer Research, Investigational New Drugs, Cancer Chemotherapy and Pharmacology and Life Sciences.
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.