Catherine Chang

2.2k citations
19 papers · 537 · h-index 15

Impact in

    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
    • Immune Cell Function and Interaction
    • Cancer, Hypoxia, and Metabolism

Papers in

    • Ubiquitin and proteasome pathways 4
    • Cell death mechanisms and regulation 2
    • Cancer-related Molecular Pathways 4
    • Viral-associated cancers and disorders 3

Catherine Chang

19 papers receiving 528 citations

Peers

Catherine Chang
Comparison fields: 5 of 77
  • Immunology 143
  • Cancer Research 78
  • Oncology 139
  • Hematology 46
  • Molecular Biology 270
Replace Jie Han with:
Jie Han United States
Sarah T. Diepstraten Australia
Yiqing Zhao China
Haolan Wang China
Yun Zhou China
Jennifer L. Carroll United States
Yuen Yuen Hong Kong
Xuxu Sun China
Shota Moriya Japan
Huei-Mei Huang Taiwan
Catherine Chang relative to Jie Han United States Jie Han's profile →
Citations per field
00.5×1.5×1.9×
Jie Han · 1×
Citations per year

Countries citing papers authored by Catherine Chang

Since Specialization
Citations

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

Fields of papers citing papers by Catherine Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 201867
2 201951
3 201647
4 200945
5 200842
6 201439
7 201236
8 201835
9 200730
10 202429
11 202325
12 201718
13 202016
14 201016
15 202016
16 202210
17 20178
18 20236
19 20231

About Catherine Chang

Catherine Chang is a scholar working on Molecular Biology, Oncology, Immunology, Pathology and Forensic Medicine and Genetics, having authored 19 papers that have together received 537 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (4 papers), Cancer-related Molecular Pathways (4 papers), Lymphoma Diagnosis and Treatment (4 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Viral-associated cancers and disorders (3 papers), Immune Cell Function and Interaction (3 papers), Cell death mechanisms and regulation (2 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Immunology (143 citations), Cancer Research (78 citations), Oncology (139 citations), Hematology (46 citations) and Molecular Biology (270 citations). Catherine Chang has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Gemma L. Kelly, Andreas Strasser, Hitesh Peshavariya, Gregory J. Dusting, Fan Jiang, Grant Dewson, Marco J. Herold, Elsa C. Chan, Guei‐Sheung Liu and Guillaume Lessène. Their work appears in journals such as Cell Death and Differentiation, Antioxidants and Redox Signaling, Bioorganic & Medicinal Chemistry Letters, Oncogene and Blood.

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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