Chun‐I Sze

2.9k citations
67 papers · 2.4k · h-index 26

Impact in

Papers in

    • Ubiquitin and proteasome pathways 7
    • Genetics and Neurodevelopmental Disorders 17
    • Glioma Diagnosis and Treatment 7

Chun‐I Sze

65 papers receiving 2.3k citations

Peers

Chun‐I Sze
Comparison fields: 5 of 115
  • Cellular and Molecular Neuroscience 775
  • Physiology 769
  • Biological Psychiatry 74
  • Neurology 239
  • Developmental Neuroscience 92
Replace Ning Wang with:
Ning Wang China
Geoffrey Murdoch United States
Clara Sciorati Italy
Hsiu Mei Hsieh‐Li Taiwan
Elin Lehrmann United States
Suman Jayadev United States
Michèle Goodhardt France
Beatriz Pardo Spain
Luigi Formisano Italy
Shannon E. Mullican United States
Chun‐I Sze relative to Ning Wang China Ning Wang's profile →
Citations per field
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Ning Wang · 1×
Citations per year

Countries citing papers authored by Chun‐I Sze

Since Specialization
Citations

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

Fields of papers citing papers by Chun‐I Sze

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chun‐I Sze. 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 Chun‐I Sze. The network helps show where Chun‐I Sze may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997453
2 2011205
3 2000139
4 2001115
5 2004109
6 200995
7 200289
8 199883
9 200479
10 201054
11 200052
12 200551
13 200948
14 200441
15 201441
16 201436
17 199836
18 201235
19 201534
20 201832

About Chun‐I Sze

Chun‐I Sze is a scholar working on Molecular Biology, Genetics, Cellular and Molecular Neuroscience, Rheumatology and Neurology, having authored 67 papers that have together received 2.4k indexed citations. Recurring topics across this work include Genetics and Neurodevelopmental Disorders (17 papers), Nuclear Receptors and Signaling (10 papers), Moyamoya disease diagnosis and treatment (7 papers), Glioma Diagnosis and Treatment (7 papers), Ubiquitin and proteasome pathways (7 papers), Alzheimer's disease research and treatments (6 papers), Neuroscience and Neuropharmacology Research (4 papers) and Cancer Mechanisms and Therapy (3 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (775 citations), Physiology (769 citations), Biological Psychiatry (74 citations), Neurology (239 citations) and Developmental Neuroscience (92 citations). Chun‐I Sze has collaborated with scholars based in Taiwan, United States and China. Frequent co-authors include Lee J. Martin, Donald L. Price, Juan C. Troncoso, Claudia H. Kawas, Bette K. Kleinschmidt‐DeMasters, Nan‐Shan Chang, Christopher M. Filley, Subbiah Pugazhenthi, Li‐Jin Hsu and Lori Schultz. Their work appears in journals such as Journal of the Neurological Sciences, American Journal of Obstetrics and Gynecology, PLoS ONE, Human Pathology and Neurology.

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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