Ping-Chung Chen

2.2k citations
4 papers · 905 · 1 hit paper · h-index 4

Impact in

    • Endoplasmic Reticulum Stress and Disease
    • Ubiquitin and proteasome pathways
    • Protein Degradation and Inhibitors
    • Histone Deacetylase Inhibitors Research

Papers in

    • Ubiquitin and proteasome pathways 4
    • Mitochondrial Function and Pathology 1
    • Glycosylation and Glycoproteins Research 1
    • Endoplasmic Reticulum Stress and Disease 2

Ping-Chung Chen

4 papers receiving 893 citations

Ping-Chung Chen's Hit Papers

Enhancement of proteasome activity by a small-molecule inhibitor of USP14 2010 · 760 citations
7600+5+10Years since publication250500750

Peers

Ping-Chung Chen
Comparison fields: 5 of 64
  • Cell Biology 269
  • Molecular Biology 776
  • Epidemiology 274
  • Aging 12
  • Oncology 187
Replace Nevena Dimova with:
Nevena Dimova United States
Hari Kamadurai United States
Shoshiro Hirayama Japan
Melanie Wightman United Kingdom
Xiang-Jiao Yang Canada
Isabelle Cornez Germany
Laura Mediani Italy
Aitor Martinez United Kingdom
Joseph Amick United States
Ping-Chung Chen relative to Nevena Dimova United States Nevena Dimova's profile →
Citations per field
00.5×1.5×
Nevena Dimova · 1×
Citations per year

Countries citing papers authored by Ping-Chung Chen

Since Specialization
Citations

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

Fields of papers citing papers by Ping-Chung Chen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside Ping-Chung 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 Ping-Chung Chen Line = papers co-authored together Ping-Chung Chen links everyone, so they are left out of the graph.

All Works

About Ping-Chung Chen

Ping-Chung Chen is a scholar working on Molecular Biology, Cell Biology, Genetics, Oncology and Epidemiology, having authored 4 papers that have together received 905 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (4 papers), Endoplasmic Reticulum Stress and Disease (2 papers), Genetics and Neurodevelopmental Disorders (2 papers), Mitochondrial Function and Pathology (1 paper), Autophagy in Disease and Therapy (1 paper), Cancer-related Molecular Pathways (1 paper) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Cell Biology (269 citations), Molecular Biology (776 citations), Epidemiology (274 citations), Aging (12 citations) and Oncology (187 citations). Ping-Chung Chen has collaborated with scholars based in United States and South Korea. Frequent co-authors include Scott M. Wilson, John Hanna, Daniel Finley, Min Jae Lee, Byung‐Hoon Lee, Soyeon Park, Steven P. Gygi, Randall W. King, Carlos A. Gartner and Dong‐Chan Oh. Their work appears in journals such as Molecular Neurodegeneration, Nature, Journal of Neuroscience and Amino Acids.

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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