Kai‐En Chen

2.4k citations
23 papers · 519 · h-index 13

Impact in

    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease
  • Physiology top 10%
    • Lysosomal Storage Disorders Research
    • Calcium signaling and nucleotide metabolism
    • Erythrocyte Function and Pathophysiology

Papers in

    • Lipid Membrane Structure and Behavior 8
    • Retinal Development and Disorders 3
    • Protein Tyrosine Phosphatases 3
    • Protein Structure and Dynamics 2
    • Cellular transport and secretion 12
    • Endoplasmic Reticulum Stress and Disease 4

Kai‐En Chen

22 papers receiving 517 citations

Peers

Kai‐En Chen
Comparison fields: 5 of 74
  • Cell Biology 255
  • Physiology 36
  • Molecular Biology 346
  • Physiology 73
  • Structural Biology 4
Replace Natalia Gómez‐Navarro with:
Natalia Gómez‐Navarro United Kingdom
Wonyul Jang Germany
Corinne Ivaldi France
Jen‐Hsuan Wei United States
Johannes van den Boom Germany
Xingqiao Xie China
Chris MacDonald United States
Nelly Gareil France
Derek C. Prosser United States
Dhira Joshi United Kingdom
Kai‐En Chen relative to Natalia Gómez‐Navarro United Kingdom Natalia Gómez‐Navarro's profile →
Citations per field
00.5×2×3×3.7×
Natalia Gómez‐Navarro · 1×
Citations per year

Countries citing papers authored by Kai‐En Chen

Since Specialization
Citations

This map shows the geographic impact of Kai‐En 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 Kai‐En Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai‐En Chen more than expected).

Fields of papers citing papers by Kai‐En Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kai‐En 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 Kai‐En Chen. The network helps show where Kai‐En Chen may publish in the future.

Co-authors

The 25 scholars most cited alongside Kai‐En 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 Kai‐En Chen Line = papers co-authored together Kai‐En Chen links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019124
2 201999
3 201247
4 202229
5 201827
6 201827
7 201422
8 201222
9 202420
10 201519
11 201217
12 202216
13 201312
14 20099
15 20247
16 20127
17 20216
18 20254
19 20252
20 20251

About Kai‐En Chen

Kai‐En Chen is a scholar working on Molecular Biology, Cell Biology, Physiology, Immunology and Materials Chemistry, having authored 23 papers that have together received 519 indexed citations. Recurring topics across this work include Cellular transport and secretion (12 papers), Lipid Membrane Structure and Behavior (8 papers), Endoplasmic Reticulum Stress and Disease (4 papers), Enzyme Structure and Function (3 papers), Retinal Development and Disorders (3 papers), Protein Tyrosine Phosphatases (3 papers), Erythrocyte Function and Pathophysiology (3 papers) and Protein Structure and Dynamics (2 papers). The work is most often cited by research in Cell Biology (255 citations), Physiology (36 citations), Molecular Biology (346 citations), Physiology (73 citations) and Structural Biology (4 citations). Kai‐En Chen has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Brett M. Collins, Michael D. Healy, Mintu Chandra, Jennifer L. Martin, Vikas A. Tillu, Caroline Mas, Xinying Jia, Mehdi Mobli, Biswaranjan Mohanty and Zhe Yang. Their work appears in journals such as Nature Communications, Proceedings of the National Academy of Sciences, Structure, Science Signaling and PLoS ONE.

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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