Gefei Chen

1.7k citations
60 papers · 1.3k · h-index 19

Impact in

Papers in

    • Protein Structure and Dynamics 13
    • Biochemical and Structural Characterization 11
    • Heat shock proteins research 8
    • Silk-based biomaterials and applications 18

Gefei Chen

58 papers receiving 1.3k citations

Peers

Gefei Chen
Comparison fields: 5 of 96
  • Biomaterials 611
  • Microbiology 125
  • Cellular and Molecular Neuroscience 240
  • Molecular Biology 812
  • Physiology 263
Replace Ai Fang with:
Ai Fang China
Masashi Kusubata Japan
Xiangyang Xie China
Lin Teng China
Sang‐Eun Lee South Korea
Vladimír Pekařík Czechia
Sueun Lee South Korea
Zachary T. Campbell United States
Venkat Venkataraman United States
Michele Scorzeto Italy
Gefei Chen relative to Ai Fang China Ai Fang's profile →
Citations per field
00.5×6.3×
Ai Fang · 1×
Citations per year

Countries citing papers authored by Gefei Chen

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Gefei Chen Line = papers co-authored together Gefei Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014173
2 2014152
3 201286
4 201773
5 201863
6 202054
7 201649
8 202048
9 202346
10 201543
11 202033
12 201831
13 202228
14 202326
15 202225
16 202120
17 202319
18 202219
19 202018
20 201917

About Gefei Chen

Gefei Chen is a scholar working on Molecular Biology, Biomaterials, Physiology, Materials Chemistry and Microbiology, having authored 60 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 (13 papers), Biochemical and Structural Characterization (11 papers), Enzyme Structure and Function (8 papers), Heat shock proteins research (8 papers), Antimicrobial Peptides and Activities (8 papers) and Neuroscience and Neuropharmacology Research (5 papers). The work is most often cited by research in Biomaterials (611 citations), Microbiology (125 citations), Cellular and Molecular Neuroscience (240 citations), Molecular Biology (812 citations) and Physiology (263 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, Axel Abelein, Axel Leppert and Yuniesky Andrade‐Talavera. Their work appears in journals such as Nature Communications, Advanced Functional Materials, Scientific Reports, Protein Science and Communications Biology.

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.

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