Jin Yan
Impact in
- Biomaterials top 1%
- Nanoparticle-Based Drug Delivery
- Supramolecular Self-Assembly in Materials
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- Cancer-related Molecular Pathways
Papers in
- Biomaterials 31
- Nanoparticle-Based Drug Delivery 24
- Supramolecular Self-Assembly in Materials 13
- Oncology 22
- Cancer Immunotherapy and Biomarkers 13
- Cancer-related Molecular Pathways 7
- Co-authors
- Wangxiao He (44 shared papers)Wuyuan Lu (12 shared papers)Siqi Yan (14 shared papers)Weiming You (20 shared papers)Peter X. Ma (10 shared papers)Bo Lei (9 shared papers)Wenguang Yang (12 shared papers)Yu Yao (4 shared papers)
- Journals
- Chemical Engineering Journal (7 papers)Small (5 papers)ACS Nano (5 papers)Theranostics (4 papers)Biomaterials (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Jin Yan
72 papers receiving 2.1k citations
Jin Yan's Hit Papers
Peers
Comparison fields: 5 of 94
- Biomaterials 673
- Oncology 350
- Rehabilitation 98
- Molecular Medicine 84
- Biomedical Engineering 458
Countries citing papers authored by Jin Yan
This map shows the geographic impact of Jin Yan'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 Jin Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Yan more than expected).
Fields of papers citing papers by Jin Yan
This network shows the impact of papers produced by Jin Yan. 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 Jin Yan. The network helps show where Jin Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Yan, 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 75 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 170 | |
| 2 | 2018 | 126 | |
| 3 | 2021 | 90 | |
| 4 | 2013 | 84 | |
| 5 | 2014 | 78 | |
| 6 | 2019 | 78 | |
| 7 | 2018 | 69 | |
| 8 | 2016 | 68 | |
| 9 | 2023 | 65 | |
| 10 | 2015 | 61 | |
| 11 | 2022 | 58 | |
| 12 | 2023 | 52 | |
| 13 | 2021 | 49 | |
| 14 | 2021 | 48 | |
| 15 | 2018 | 47 | |
| 16 | Small-molecule-induced liquid-liquid phase separation suppresses the carcinogenesis of β-catenin Hit paper breakdown → | 2025 | 46 |
| 17 | 2018 | 44 | |
| 18 | 2024 | 42 | |
| 19 | 2015 | 41 | |
| 20 | 2020 | 40 |
About Jin Yan
Jin Yan is a scholar working on Biomaterials, Oncology, Biomedical Engineering, Molecular Biology and Pharmacology, having authored 75 papers that have together received 2.2k indexed citations. Recurring topics across this work include Nanoparticle-Based Drug Delivery (24 papers), Nanoplatforms for cancer theranostics (15 papers), Cancer Immunotherapy and Biomarkers (13 papers), Supramolecular Self-Assembly in Materials (13 papers), RNA Interference and Gene Delivery (11 papers), Cancer-related Molecular Pathways (7 papers), Flavonoids in Medical Research (6 papers) and Wnt/β-catenin signaling in development and cancer (5 papers). The work is most often cited by research in Biomaterials (673 citations), Oncology (350 citations), Rehabilitation (98 citations), Molecular Medicine (84 citations) and Biomedical Engineering (458 citations). Jin Yan has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Wangxiao He, Wuyuan Lu, Siqi Yan, Weiming You, Peter X. Ma, Bo Lei, Wenguang Yang, Yu Yao, Peng Hou and Yongping Shao. Their work appears in journals such as Chemical Engineering Journal, Small, ACS Nano, Theranostics and Biomaterials.
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.