Panke Cheng
Impact in
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- Electrospun Nanofibers in Biomedical Applications
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- Polymer Surface Interaction Studies
Papers in
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- Signaling Pathways in Disease 3
- CRISPR and Genetic Engineering 2
- Surgery 8
- Tissue Engineering and Regenerative Medicine 7
- Co-authors
- Ge Guan (5 shared papers)Yanzhao Li (4 shared papers)Malcolm Xing (2 shared papers)Cui Ma (7 shared papers)Wen Zeng (2 shared papers)Chuhong Zhu (2 shared papers)Ge Liu (3 shared papers)Ju Tan (3 shared papers)
- Journals
- Cell Death Discovery (2 papers)iScience (2 papers)Journal of Biomedical Nanotechnology (2 papers)Acta Biomaterialia (2 papers)ACS Omega (2 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Panke Cheng
19 papers receiving 398 citations
Peers
Comparison fields: 5 of 76
- Biomaterials 70
- Surfaces, Coatings and Films 35
- Cancer Research 65
- Molecular Medicine 15
- Molecular Biology 189
Countries citing papers authored by Panke Cheng
This map shows the geographic impact of Panke Cheng'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 Panke Cheng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Panke Cheng more than expected).
Fields of papers citing papers by Panke Cheng
This network shows the impact of papers produced by Panke Cheng. 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 Panke Cheng. The network helps show where Panke Cheng may publish in the future.
Co-authors
The 25 scholars most cited alongside Panke Cheng, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 65 | |
| 2 | 2017 | 59 | |
| 3 | 2021 | 50 | |
| 4 | 2018 | 39 | |
| 5 | 2022 | 29 | |
| 6 | 2022 | 28 | |
| 7 | 2016 | 26 | |
| 8 | 2013 | 23 | |
| 9 | 2015 | 20 | |
| 10 | 2024 | 13 | |
| 11 | 2020 | 12 | |
| 12 | 2021 | 9 | |
| 13 | 2018 | 7 | |
| 14 | 2023 | 4 | |
| 15 | 2018 | 4 | |
| 16 | 2024 | 3 | |
| 17 | 2020 | 3 | |
| 18 | 2017 | 3 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 0 |
About Panke Cheng
Panke Cheng is a scholar working on Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine, Oncology and Biomaterials, having authored 27 papers that have together received 398 indexed citations. Recurring topics across this work include Tissue Engineering and Regenerative Medicine (7 papers), Electrospun Nanofibers in Biomedical Applications (6 papers), Signaling Pathways in Disease (3 papers), Cardiac Ischemia and Reperfusion (3 papers), Cardiac Fibrosis and Remodeling (3 papers), Nanoplatforms for cancer theranostics (2 papers), Adenosine and Purinergic Signaling (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Biomaterials (70 citations), Surfaces, Coatings and Films (35 citations), Cancer Research (65 citations), Molecular Medicine (15 citations) and Molecular Biology (189 citations). Panke Cheng has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Ge Guan, Yanzhao Li, Malcolm Xing, Cui Ma, Wen Zeng, Chuhong Zhu, Ge Liu, Ju Tan, Hui Huang and Da Huo. Their work appears in journals such as Cell Death Discovery, iScience, Journal of Biomedical Nanotechnology, Acta Biomaterialia and ACS Omega.
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.