Jin Yan
Impact in
- Biomaterials top 2%
- Nanoparticle-Based Drug Delivery
- Supramolecular Self-Assembly in Materials
- Cancer Research top 10%
- MicroRNA in disease regulation
Papers in
-
- Advanced biosensing and bioanalysis techniques 13
- RNA Interference and Gene Delivery 11
- Chemical Synthesis and Analysis 6
- Oncology 28
- Peptidase Inhibition and Analysis 10
- Co-authors
- Wangxiao He (43 shared papers)Wuyuan Lu (12 shared papers)Siqi Yan (15 shared papers)X. Peter (10 shared papers)Weiming You (17 shared papers)Bo Lei (9 shared papers)Wenguang Yang (12 shared papers)Yu Yao (4 shared papers)
- Journals
- Chemical Engineering Journal (6 papers)Small (5 papers)Theranostics (4 papers)Nano Letters (4 papers)ACS Nano (4 papers)
- Partner nations
- ChinaUnited StatesNigeria
In The Last Decade
Jin Yan
82 papers receiving 2.1k citations
Jin Yan's Hit Papers
Peers
Comparison fields: 5 of 119
- Biomaterials 444
- Cancer Research 281
- Oncology 494
- Molecular Biology 1.1k
- Biomedical Engineering 620
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 87 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 164 | |
| 2 | 2018 | 115 | |
| 3 | 2021 | 78 | |
| 4 | 2013 | 77 | |
| 5 | 2014 | 75 | |
| 6 | 2019 | 72 | |
| 7 | 2018 | 67 | |
| 8 | 2016 | 65 | |
| 9 | 2023 | 61 | |
| 10 | 2015 | 58 | |
| 11 | 2019 | 57 | |
| 12 | 2022 | 53 | |
| 13 | 2018 | 46 | |
| 14 | 2023 | 46 | |
| 15 | 2021 | 41 | |
| 16 | 2018 | 39 | |
| 17 | 2021 | 39 | |
| 18 | 2015 | 39 | |
| 19 | 2019 | 38 | |
| 20 | 2018 | 38 |
About Jin Yan
Jin Yan is a scholar working on Molecular Biology, Oncology, Biomedical Engineering, Biomaterials and Immunology, having authored 87 papers that have together received 2.1k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (13 papers), Advanced biosensing and bioanalysis techniques (13 papers), RNA Interference and Gene Delivery (11 papers), Peptidase Inhibition and Analysis (10 papers), Immunotherapy and Immune Responses (9 papers), MicroRNA in disease regulation (9 papers), Supramolecular Self-Assembly in Materials (8 papers) and Chemical Synthesis and Analysis (6 papers). The work is most often cited by research in Biomaterials (444 citations), Cancer Research (281 citations), Oncology (494 citations), Molecular Biology (1.1k citations) and Biomedical Engineering (620 citations). Jin Yan has collaborated with scholars based in China, United States and Nigeria. Frequent co-authors include Wangxiao He, Wuyuan Lu, Siqi Yan, X. Peter, Weiming You, Bo Lei, Wenguang Yang, Yu Yao, Peng Hou and Yongping Shao. Their work appears in journals such as Chemical Engineering Journal, Small, Theranostics, Nano Letters 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.