Yuling Zhao
- Molecular Biology top 1%
- Cancer Research top 0.5%
- Biomedical Engineering top 5%
- Immunology top 5%
- Biomaterials top 2%
- Co-authors
- Matthew J. HaneyElena V. BatrakovaAlexander V. KabanovNatalia L. KlyachkoMarina Sokolsky‐PapkovAleksandr PiroyanMyoung Soo KimIrina M. Le‐Deygen
- Topics
- Extracellular vesicles in disease (15 papers)RNA Interference and Gene Delivery (12 papers)MicroRNA in disease regulation (7 papers)
- Journals
- SHILAP Revista de lepidopterologíaBiomaterialsAdvanced Functional Materials
- Partner nations
- United StatesRussiaChina
In The Last Decade
Yuling Zhao
39 papers receiving 5.4k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Molecular Biology 4.4k
- Cancer Research 2.3k
- Biomedical Engineering 957
- Immunology 594
- Biomaterials 520
Countries citing papers authored by Yuling Zhao
This map shows the geographic impact of Yuling Zhao'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 Yuling Zhao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuling Zhao more than expected).
Fields of papers citing papers by Yuling Zhao
This network shows the impact of papers produced by Yuling Zhao. 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 Yuling Zhao. The network helps show where Yuling Zhao may publish in the future.
Co-authorship network of co-authors of Yuling Zhao
This figure shows the co-authorship network connecting the top 25 collaborators of Yuling Zhao. A scholar is included among the top collaborators of Yuling Zhao 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 Yuling Zhao. Yuling Zhao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 4 | |
| 4 | 7 | |
| 5 | 3 | |
| 6 | 23 | |
| 7 | 6 | |
| 8 | 25 | |
| 9 | 191 | |
| 10 | 53 | |
| 11 | Engineering macrophage-derived exosomes for targeted paclitaxel delivery to pulmonary metastases: in vitro and in vivo evaluationsbreakdown → | 573 |
| 12 | Macrophage exosomes as natural nanocarriers for protein delivery to inflamed brainbreakdown → | 501 |
| 13 | 139 | |
| 14 | Development of exosome-encapsulated paclitaxel to overcome MDR in cancer cellsbreakdown → | 1215 |
| 15 | 70 | |
| 16 | 22 | |
| 17 | 61 | |
| 18 | 78 | |
| 19 | 93 | |
| 20 | 25 |
About Yuling Zhao
Yuling Zhao is a scholar working on Neurology, Developmental Neuroscience and Cancer Research, having authored 40 papers that have together received 5.4k indexed citations. Recurring topics across this work include Extracellular vesicles in disease (15 papers), RNA Interference and Gene Delivery (12 papers) and MicroRNA in disease regulation (7 papers). The work is most often cited by research in Cancer Research (2.3k citations), Molecular Biology (4.4k citations) and Biomaterials (520 citations). Yuling Zhao has collaborated with scholars based in United States, Russia and China. Frequent co-authors include Matthew J. Haney, Elena V. Batrakova, Alexander V. Kabanov, Natalia L. Klyachko, Marina Sokolsky‐Papkov, Aleksandr Piroyan, Myoung Soo Kim, Irina M. Le‐Deygen, Dongfen Yuan and Evgeniya G. Plotnikova. Their work appears in journals such as SHILAP Revista de lepidopterología, Biomaterials and Advanced Functional Materials.
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.