Pengkai Wu
Impact in
- Biomaterials top 10%
- Nanoparticle-Based Drug Delivery
- Hepatology top 10%
- Liver physiology and pathology
Papers in
-
- RNA Interference and Gene Delivery 10
- Advanced biosensing and bioanalysis techniques 6
-
- Nanoplatforms for cancer theranostics 7
- Co-authors
- Kaikai Wang (13 shared papers)Minjie Sun (9 shared papers)David Oupický (7 shared papers)Gang Chen (5 shared papers)Yixin Wang (3 shared papers)Qingyan Zhang (4 shared papers)Beicheng Sun (5 shared papers)Hui Wu (3 shared papers)
- Journals
- Advanced Science (3 papers)Biomaterials (2 papers)Journal of Nanobiotechnology (2 papers)ACS Nano (2 papers)Bioconjugate Chemistry (1 paper)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Pengkai Wu
23 papers receiving 489 citations
Peers
Comparison fields: 5 of 77
- Biomaterials 103
- Hepatology 46
- Immunology 76
- Biomedical Engineering 157
- Molecular Biology 222
Countries citing papers authored by Pengkai Wu
This map shows the geographic impact of Pengkai Wu'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 Pengkai Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pengkai Wu more than expected).
Fields of papers citing papers by Pengkai Wu
This network shows the impact of papers produced by Pengkai Wu. 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 Pengkai Wu. The network helps show where Pengkai Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Pengkai Wu, 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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 50 | |
| 2 | 2022 | 45 | |
| 3 | 2017 | 45 | |
| 4 | 2017 | 37 | |
| 5 | 2022 | 32 | |
| 6 | 2019 | 29 | |
| 7 | 2020 | 29 | |
| 8 | 2020 | 27 | |
| 9 | 2018 | 26 | |
| 10 | 2021 | 24 | |
| 11 | 2022 | 22 | |
| 12 | 2023 | 19 | |
| 13 | 2016 | 18 | |
| 14 | 2019 | 17 | |
| 15 | 2025 | 13 | |
| 16 | 2019 | 13 | |
| 17 | 2018 | 12 | |
| 18 | 2018 | 11 | |
| 19 | 2020 | 11 | |
| 20 | 2024 | 7 |
About Pengkai Wu
Pengkai Wu is a scholar working on Molecular Biology, Biomedical Engineering, Immunology, Biomaterials and Hepatology, having authored 24 papers that have together received 493 indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (10 papers), Nanoplatforms for cancer theranostics (7 papers), Advanced biosensing and bioanalysis techniques (6 papers), Liver physiology and pathology (4 papers), Nanoparticle-Based Drug Delivery (4 papers), Immunotherapy and Immune Responses (3 papers), Phagocytosis and Immune Regulation (3 papers) and Liver Disease Diagnosis and Treatment (2 papers). The work is most often cited by research in Biomaterials (103 citations), Hepatology (46 citations), Immunology (76 citations), Biomedical Engineering (157 citations) and Molecular Biology (222 citations). Pengkai Wu has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Kaikai Wang, Minjie Sun, David Oupický, Gang Chen, Yixin Wang, Qingyan Zhang, Beicheng Sun, Hui Wu, Xinping Luo and Zhanwei Zhou. Their work appears in journals such as Advanced Science, Biomaterials, Journal of Nanobiotechnology, ACS Nano and Bioconjugate Chemistry.
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.