Fei Yan
Impact in
- Cancer Research top 2%
- Cancer-related molecular mechanisms research
- Biomaterials top 2%
- Nanoparticle-Based Drug Delivery
Papers in
-
- Epigenetics and DNA Methylation 15
- RNA modifications and cancer 15
- Redox biology and oxidative stress 10
- Cancer-related gene regulation 7
-
- Nanoplatforms for cancer theranostics 21
- Co-authors
- Shujun Liu (15 shared papers)Yangyang Du (16 shared papers)Meiyu Song (9 shared papers)Zhan Shi (15 shared papers)Jiuxia Pang (10 shared papers)Na Shen (14 shared papers)Shouhua Feng (8 shared papers)Xinguo Hou (20 shared papers)
- Journals
- Acta Biomaterialia (7 papers)Analytical Chemistry (4 papers)ACS Nano (4 papers)Chemical Engineering Journal (4 papers)Advanced Materials (3 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Fei Yan
193 papers receiving 5.6k citations
Peers
Comparison fields: 5 of 143
- Cancer Research 742
- Biomaterials 546
- Immunology 696
- Molecular Biology 2.3k
- Biomedical Engineering 1.2k
Countries citing papers authored by Fei Yan
This map shows the geographic impact of Fei 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 Fei Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fei Yan more than expected).
Fields of papers citing papers by Fei Yan
This network shows the impact of papers produced by Fei 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 Fei Yan. The network helps show where Fei Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Fei 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 205 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 197 | |
| 2 | 2018 | 173 | |
| 3 | 2021 | 159 | |
| 4 | 2015 | 128 | |
| 5 | 2018 | 123 | |
| 6 | 2020 | 123 | |
| 7 | 2020 | 120 | |
| 8 | 2018 | 118 | |
| 9 | 2014 | 114 | |
| 10 | 2020 | 104 | |
| 11 | 2020 | 99 | |
| 12 | 2021 | 96 | |
| 13 | 2018 | 93 | |
| 14 | 2020 | 91 | |
| 15 | 2019 | 88 | |
| 16 | 2023 | 83 | |
| 17 | 2022 | 80 | |
| 18 | 2021 | 79 | |
| 19 | 2016 | 78 | |
| 20 | 2022 | 77 |
About Fei Yan
Fei Yan is a scholar working on Molecular Biology, Biomedical Engineering, Oncology, Immunology and Surgery, having authored 205 papers that have together received 5.6k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (21 papers), Epigenetics and DNA Methylation (15 papers), RNA modifications and cancer (15 papers), Redox biology and oxidative stress (10 papers), Immune cells in cancer (8 papers), Luminescence and Fluorescent Materials (7 papers), Cancer-related gene regulation (7 papers) and Immunotherapy and Immune Responses (6 papers). The work is most often cited by research in Cancer Research (742 citations), Biomaterials (546 citations), Immunology (696 citations), Molecular Biology (2.3k citations) and Biomedical Engineering (1.2k citations). Fei Yan has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Shujun Liu, Yangyang Du, Meiyu Song, Zhan Shi, Jiuxia Pang, Na Shen, Shouhua Feng, Xinguo Hou, Kunxia Cao and Mark R. Litzow. Their work appears in journals such as Acta Biomaterialia, Analytical Chemistry, ACS Nano, Chemical Engineering Journal and Advanced 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.