Yulong Han
- Biomedical Engineering top 5%
- Molecular Biology
- Cell Biology top 5%
- Oncology
- Biomaterials top 10%
- Co-authors
- Ming GuoFeng XuXingcai ZhangAdrian F. PegoraroJennifer Lippincott‐SchwartzMikkel H. JensenF. C. MacKintoshDylan T. Burnette
- Topics
- Cellular Mechanics and Interactions (7 papers)3D Printing in Biomedical Research (4 papers)Nanoplatforms for cancer theranostics (4 papers)
- Partner nations
- ChinaUnited StatesNetherlands
In The Last Decade
Yulong Han
26 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Biomedical Engineering 804
- Molecular Biology 468
- Cell Biology 423
- Oncology 189
- Biomaterials 183
Countries citing papers authored by Yulong Han
This map shows the geographic impact of Yulong Han'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 Yulong Han with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yulong Han more than expected).
Fields of papers citing papers by Yulong Han
This network shows the impact of papers produced by Yulong Han. 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 Yulong Han. The network helps show where Yulong Han may publish in the future.
Co-authorship network of co-authors of Yulong Han
This figure shows the co-authorship network connecting the top 25 collaborators of Yulong Han. A scholar is included among the top collaborators of Yulong Han 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 Yulong Han. Yulong Han is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 7 | |
| 4 | 12 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 13 | |
| 8 | In vivo synergistic tumor therapies based on copper sulfide photothermal therapeutic nanoplatformsbreakdown → | 112 |
| 9 | 5 | |
| 10 | Smartphone-based platforms implementing microfluidic detection with image-based artificial intelligencebreakdown → | 143 |
| 11 | 28 | |
| 12 | 82 | |
| 13 | 35 | |
| 14 | 64 | |
| 15 | 23 | |
| 16 | Cancer-cell stiffening via cholesterol depletion enhances adoptive T-cell immunotherapybreakdown → | 176 |
| 17 | 36 | |
| 18 | Cell volume change through water efflux impacts cell stiffness and stem cell fatebreakdown → | 366 |
| 19 | 5 | |
| 20 | 150 |
About Yulong Han
Yulong Han is a scholar working on Cell Biology, Cancer Research and Oncology, having authored 32 papers that have together received 1.6k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (7 papers), 3D Printing in Biomedical Research (4 papers) and Nanoplatforms for cancer theranostics (4 papers). The work is most often cited by research in Cell Biology (423 citations), Biomedical Engineering (804 citations) and Biomaterials (183 citations). Yulong Han has collaborated with scholars based in China, United States and Netherlands. Frequent co-authors include Ming Guo, Feng Xu, Xingcai Zhang, Adrian F. Pegoraro, Jennifer Lippincott‐Schwartz, Mikkel H. Jensen, F. C. MacKintosh, Dylan T. Burnette, Angelo S. Mao and Jeffrey J. Fredberg. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.
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.