Gefei Chen
Impact in
- Biomaterials top 2%
- Silk-based biomaterials and applications
- Microbiology top 5%
- Antimicrobial Peptides and Activities
Papers in
-
- Protein Structure and Dynamics 14
- Biochemical and Structural Characterization 12
- Heat shock proteins research 8
- Biomaterials 19
- Silk-based biomaterials and applications 18
- Co-authors
- Jan Johansson (40 shared papers)Anna Rising (15 shared papers)Michael Landreh (19 shared papers)Qing Meng (7 shared papers)Nina Kronqvist (11 shared papers)André Fisahn (11 shared papers)Kristaps Jaudzems (7 shared papers)Yuniesky Andrade‐Talavera (9 shared papers)
In The Last Decade
Gefei Chen
57 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 95
- Biomaterials 590
- Microbiology 125
- Cellular and Molecular Neuroscience 241
- Molecular Biology 813
- Physiology 270
Countries citing papers authored by Gefei Chen
This map shows the geographic impact of Gefei Chen'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 Gefei Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gefei Chen more than expected).
Fields of papers citing papers by Gefei Chen
This network shows the impact of papers produced by Gefei Chen. 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 Gefei Chen. The network helps show where Gefei Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Gefei Chen, 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 58 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 168 | |
| 2 | 2014 | 146 | |
| 3 | 2012 | 82 | |
| 4 | 2017 | 72 | |
| 5 | 2018 | 63 | |
| 6 | 2020 | 52 | |
| 7 | 2016 | 49 | |
| 8 | 2020 | 45 | |
| 9 | 2023 | 44 | |
| 10 | 2015 | 42 | |
| 11 | 2020 | 33 | |
| 12 | 2018 | 31 | |
| 13 | 2022 | 27 | |
| 14 | 2022 | 23 | |
| 15 | 2023 | 23 | |
| 16 | 2021 | 20 | |
| 17 | 2022 | 19 | |
| 18 | 2023 | 18 | |
| 19 | 2019 | 16 | |
| 20 | 2020 | 16 |
About Gefei Chen
Gefei Chen is a scholar working on Molecular Biology, Biomaterials, Physiology, Cellular and Molecular Neuroscience and Microbiology, having authored 58 papers that have together received 1.3k indexed citations. Recurring topics across this work include Silk-based biomaterials and applications (18 papers), Alzheimer's disease research and treatments (17 papers), Protein Structure and Dynamics (14 papers), Biochemical and Structural Characterization (12 papers), Antimicrobial Peptides and Activities (9 papers), Heat shock proteins research (8 papers), Enzyme Structure and Function (8 papers) and Neuroscience and Neuropharmacology Research (7 papers). The work is most often cited by research in Biomaterials (590 citations), Microbiology (125 citations), Cellular and Molecular Neuroscience (241 citations), Molecular Biology (813 citations) and Physiology (270 citations). Gefei Chen has collaborated with scholars based in Sweden, China and Latvia. Frequent co-authors include Jan Johansson, Anna Rising, Michael Landreh, Qing Meng, Nina Kronqvist, André Fisahn, Kristaps Jaudzems, Yuniesky Andrade‐Talavera, Axel Abelein and Kerstin Nordling. Their work appears in journals such as Nature Communications, Scientific Reports, Advanced Functional Materials, Protein Science and Progress in Neurobiology.
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.