Yu‐Lin Su
Impact in
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
- Immunology top 10%
- Immune cells in cancer
Papers in
- Immunology 11
- Immune Cell Function and Interaction 5
- Immune cells in cancer 5
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- Nanoplatforms for cancer theranostics 7
- Graphene and Nanomaterials Applications 4
- Co-authors
- Shang‐Hsiu Hu (10 shared papers)Chi‐Shiun Chiang (6 shared papers)Marcin Kortylewski (10 shared papers)Lian Zhou (7 shared papers)Shaowei Huang (4 shared papers)Xia Luo (6 shared papers)Yanyang Li (4 shared papers)Zengfeng Pan (4 shared papers)
- Journals
- Molecular Therapy (2 papers)Blood (2 papers)Advanced Functional Materials (2 papers)ACS Nano (2 papers)Journal of Ethnopharmacology (2 papers)
- Partner nations
- TaiwanUnited StatesChina
In The Last Decade
Yu‐Lin Su
32 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 104
- Biomaterials 287
- Immunology 235
- Biomedical Engineering 450
- Cancer Research 112
- Biological Psychiatry 18
Countries citing papers authored by Yu‐Lin Su
This map shows the geographic impact of Yu‐Lin Su'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 Yu‐Lin Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu‐Lin Su more than expected).
Fields of papers citing papers by Yu‐Lin Su
This network shows the impact of papers produced by Yu‐Lin Su. 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 Yu‐Lin Su. The network helps show where Yu‐Lin Su may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu‐Lin Su, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 192 | |
| 2 | 2018 | 139 | |
| 3 | 2017 | 106 | |
| 4 | 2019 | 100 | |
| 5 | 2018 | 96 | |
| 6 | 2015 | 81 | |
| 7 | 2020 | 74 | |
| 8 | 2018 | 72 | |
| 9 | 2022 | 71 | |
| 10 | 2016 | 56 | |
| 11 | 2020 | 52 | |
| 12 | 2020 | 45 | |
| 13 | 2022 | 40 | |
| 14 | 2022 | 37 | |
| 15 | 2022 | 31 | |
| 16 | 2020 | 26 | |
| 17 | 2018 | 26 | |
| 18 | 2020 | 19 | |
| 19 | 2016 | 17 | |
| 20 | 2020 | 14 |
About Yu‐Lin Su
Yu‐Lin Su is a scholar working on Immunology, Biomedical Engineering, Oncology, Biomaterials and Molecular Biology, having authored 33 papers that have together received 1.4k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (8 papers), Nanoplatforms for cancer theranostics (7 papers), Immune Cell Function and Interaction (5 papers), Immune cells in cancer (5 papers), Graphene and Nanomaterials Applications (4 papers), Cytokine Signaling Pathways and Interactions (4 papers), RNA Interference and Gene Delivery (3 papers) and CAR-T cell therapy research (3 papers). The work is most often cited by research in Biomaterials (287 citations), Immunology (235 citations), Biomedical Engineering (450 citations), Cancer Research (112 citations) and Biological Psychiatry (18 citations). Yu‐Lin Su has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Shang‐Hsiu Hu, Chi‐Shiun Chiang, Marcin Kortylewski, Lian Zhou, Shaowei Huang, Xia Luo, Yanyang Li, Zengfeng Pan, Shuvomoy Banerjee and Junjie Liang. Their work appears in journals such as Molecular Therapy, Blood, Advanced Functional Materials, ACS Nano and Journal of Ethnopharmacology.
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.