Fugeng Sheng
Impact in
- Biomaterials top 2%
- Nanoparticle-Based Drug Delivery
- Biomedical Engineering top 2%
- Nanoplatforms for cancer theranostics
- Graphene and Nanomaterials Applications
Papers in
-
- Nanoplatforms for cancer theranostics 16
- Graphene and Nanomaterials Applications 3
- Biomaterials 13
- Nanoparticle-Based Drug Delivery 13
- Co-authors
- Yanglong Hou (19 shared papers)Jian Lin (11 shared papers)Jing Yu (9 shared papers)Zhiyi Wang (9 shared papers)Yanmin Ju (6 shared papers)Zeeshan Ali (5 shared papers)Hui Yin (3 shared papers)Zhaoli Sun (6 shared papers)
- Journals
- Journal of Magnetic Resonance Imaging (5 papers)Autophagy (4 papers)Advanced Materials (3 papers)ACS Nano (3 papers)Academic Radiology (2 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Fugeng Sheng
49 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 111
- Biomaterials 566
- Biomedical Engineering 1.2k
- Materials Chemistry 741
- Physiology 59
- Electronic, Optical and Magnetic Materials 163
Countries citing papers authored by Fugeng Sheng
This map shows the geographic impact of Fugeng Sheng'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 Fugeng Sheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fugeng Sheng more than expected).
Fields of papers citing papers by Fugeng Sheng
This network shows the impact of papers produced by Fugeng Sheng. 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 Fugeng Sheng. The network helps show where Fugeng Sheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Fugeng Sheng, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 242 | |
| 2 | 2012 | 210 | |
| 3 | 2019 | 209 | |
| 4 | 2017 | 201 | |
| 5 | 2015 | 149 | |
| 6 | 2020 | 146 | |
| 7 | 2018 | 106 | |
| 8 | 2022 | 98 | |
| 9 | 2014 | 91 | |
| 10 | 2022 | 86 | |
| 11 | 2023 | 79 | |
| 12 | 2010 | 67 | |
| 13 | 2016 | 63 | |
| 14 | 2012 | 56 | |
| 15 | 2022 | 48 | |
| 16 | 2013 | 48 | |
| 17 | 2022 | 36 | |
| 18 | 2022 | 31 | |
| 19 | 2009 | 31 | |
| 20 | 2023 | 28 |
About Fugeng Sheng
Fugeng Sheng is a scholar working on Biomedical Engineering, Biomaterials, Molecular Biology, Rheumatology and Materials Chemistry, having authored 53 papers that have together received 2.3k indexed citations. Recurring topics across this work include Nanoplatforms for cancer theranostics (16 papers), Nanoparticle-Based Drug Delivery (13 papers), Moyamoya disease diagnosis and treatment (10 papers), Advanced Nanomaterials in Catalysis (6 papers), Autophagy in Disease and Therapy (5 papers), Extracellular vesicles in disease (4 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Graphene and Nanomaterials Applications (3 papers). The work is most often cited by research in Biomaterials (566 citations), Biomedical Engineering (1.2k citations), Materials Chemistry (741 citations), Physiology (59 citations) and Electronic, Optical and Magnetic Materials (163 citations). Fugeng Sheng has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Yanglong Hou, Jian Lin, Jing Yu, Zhiyi Wang, Yanmin Ju, Zeeshan Ali, Hui Yin, Zhaoli Sun, Wu Zhong and Jun Zhou. Their work appears in journals such as Journal of Magnetic Resonance Imaging, Autophagy, Advanced Materials, ACS Nano and Academic Radiology.
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.