Linyi Chen

3.7k citations
100 papers · 2.8k indexed · h-index 30

Impact in

    • Cellular transport and secretion
    • Endoplasmic Reticulum Stress and Disease
    • Mitochondrial Function and Pathology
    • Protein Kinase Regulation and GTPase Signaling
    • Fungal and yeast genetics research

Papers in

Linyi Chen

94 papers receiving 2.8k citations

Peers

Linyi Chen
Comparison fields: 5 of 157
  • Cell Biology 452
  • Molecular Biology 1.4k
  • Cellular and Molecular Neuroscience 373
  • Developmental Neuroscience 78
  • Cancer Research 257
Replace Yali Zhao with:
Yali Zhao China
Xia Li China
Ji Li China
Weili Wang China
Xiaoli Chen China
Jianfeng Li China
Yang Yuan China
Ping Zhu China
Yunxia Cao China
Linyi Chen relative to Yali Zhao China Yali Zhao's profile →
Citations per field
00.5×3.6×
Yali Zhao · 1×
Citations per year

Countries citing papers authored by Linyi Chen

Since Specialization
Citations

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

Fields of papers citing papers by Linyi Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 100 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002392
2 2021125
3 201485
4 201183
5 201981
6 201379
7 202074
8 201371
9 202067
10 200366
11 201364
12 201964
13 201959
14 201559
15 201755
16 202053
17 202252
18 200051
19 200249
20 201544

About Linyi Chen

Linyi Chen is a scholar working on Aging, Developmental Neuroscience, Cellular and Molecular Neuroscience, Toxicology and Cancer Research, having authored 100 papers that have together received 2.8k indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (8 papers), Nerve injury and regeneration (6 papers), Mitochondrial Function and Pathology (6 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Cytokine Signaling Pathways and Interactions (5 papers), Cellular transport and secretion (5 papers), Vaccine Coverage and Hesitancy (5 papers) and Cancer-related gene regulation (5 papers). The work is most often cited by research in Cell Biology (452 citations), Molecular Biology (1.4k citations), Cellular and Molecular Neuroscience (373 citations), Developmental Neuroscience (78 citations) and Cancer Research (257 citations). Linyi Chen has collaborated with scholars based in Taiwan, China and United States. Frequent co-authors include Nicholas G. Davis, Amy F. Roth, Ying Feng, Yu‐Jung Chang, Kuan‐Wei Chen, Yujie Qin, Christin Carter‐Su, Jeng‐Jiann Chiu, Chenglong Wu and Shu‐Yi Wei. Their work appears in journals such as International Journal of Molecular Sciences, Oncotarget, Biomaterials, PLoS ONE and Cancers.

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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