Yale Yue
- Biomedical Engineering top 5%
- Molecular Biology
- Immunology top 10%
- Biotechnology top 2%
- Microbiology top 5%
- Topics
- Nanoplatforms for cancer theranostics (13 papers)Extracellular vesicles in disease (5 papers)Immunotherapy and Immune Responses (5 papers)
- Cited by
- BiotechnologyMicrobiologyImmunology
- Partner nations
- ChinaNew ZealandUnited States
In The Last Decade
Yale Yue
19 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 94
- Biomedical Engineering 760
- Molecular Biology 640
- Immunology 393
- Biotechnology 240
- Microbiology 152
Countries citing papers authored by Yale Yue
This map shows the geographic impact of Yale Yue'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 Yale Yue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yale Yue more than expected).
Fields of papers citing papers by Yale Yue
This network shows the impact of papers produced by Yale Yue. 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 Yale Yue. The network helps show where Yale Yue may publish in the future.
Co-authorship network of co-authors of Yale Yue
This figure shows the co-authorship network connecting the top 25 collaborators of Yale Yue. A scholar is included among the top collaborators of Yale Yue based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yale Yue. Yale Yue is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | Bacteria-derived nanovesicles enhance tumour vaccination by trained immunitybreakdown → | 101 |
| 3 | 10 | |
| 4 | 5 | |
| 5 | Modular-designed engineered bacteria for precision tumor immunotherapy via spatiotemporal manipulation by magnetic fieldbreakdown → | 151 |
| 6 | 42 | |
| 7 | 15 | |
| 8 | 12 | |
| 9 | Antigen-bearing outer membrane vesicles as tumour vaccines produced in situ by ingested genetically engineered bacteriabreakdown → | 189 |
| 10 | Rapid Surface Display of mRNA Antigens by Bacteria‐Derived Outer Membrane Vesicles for a Personalized Tumor Vaccinebreakdown → | 196 |
| 11 | Engineered Bacterial Outer Membrane Vesicles as Controllable Two‐Way Adaptors to Activate Macrophage Phagocytosis for Improved Tumor Immunotherapybreakdown → | 157 |
| 12 | 124 | |
| 13 | 20 | |
| 14 | 69 | |
| 15 | 29 | |
| 16 | 110 | |
| 17 | 38 | |
| 18 | 11 | |
| 19 | 119 |
About Yale Yue
Yale Yue is a scholar working on Immunology, Biotechnology and Biomaterials, having authored 19 papers that have together received 1.4k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (13 papers), Extracellular vesicles in disease (5 papers) and Immunotherapy and Immune Responses (5 papers). The work is most often cited by research in Biotechnology (240 citations), Microbiology (152 citations) and Immunology (393 citations). Yale Yue has collaborated with scholars based in China, New Zealand and United States. Frequent co-authors include Xiao Zhao, Guangjun Nie, Yao Li, Xiaotu Ma, Keman Cheng, Qingqing Feng, Tianjiao Zhang, Nana Ma, Guangna Liu and Lizhuo Zhang. Their work appears in journals such as Advanced Materials, Nature Communications and ACS Nano.
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.