Jer‐Cherng Chang

576 citations
11 papers · 422 · h-index 10

Impact in

  • Neurology top 5%
    • Amyotrophic Lateral Sclerosis Research
    • Parkinson's Disease Mechanisms and Treatments
    • Neuroinflammation and Neurodegeneration Mechanisms
  • Genetics top 10%
    • Neurogenetic and Muscular Disorders Research

Papers in

    • Amyotrophic Lateral Sclerosis Research 10
    • Parkinson's Disease Mechanisms and Treatments 2
    • Neurogenetic and Muscular Disorders Research 3

Jer‐Cherng Chang

11 papers receiving 417 citations

Peers

Jer‐Cherng Chang
Comparison fields: 5 of 48
  • Neurology 263
  • Genetics 135
  • Neurology 59
  • Aging 9
  • Cellular and Molecular Neuroscience 87
Replace Masin Abo-Rady with:
Masin Abo-Rady Germany
Lauren M. Gittings United States
Alexander J. Cammack United States
Jeannine V. Kern Germany
Thihan Padukkavidana United States
Melissa Castillo-Lizardo Germany
Beatriz Blanco-Redondo Germany
Rustam Esanov United States
Alexandra Lissouba Canada
Jonathan R. Brent United States
Jer‐Cherng Chang relative to Masin Abo-Rady Germany Masin Abo-Rady's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jer‐Cherng Chang

Since Specialization
Citations

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

Fields of papers citing papers by Jer‐Cherng Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 201966
2 202057
3 201954
4 201248
5 200948
6 202144
7 201337
8 202132
9 201718
10 201913
11 20235

About Jer‐Cherng Chang

Jer‐Cherng Chang is a scholar working on Neurology, Genetics, Pharmacology, Cellular and Molecular Neuroscience and Physiology, having authored 11 papers that have together received 422 indexed citations. Recurring topics across this work include Amyotrophic Lateral Sclerosis Research (10 papers), Neurogenetic and Muscular Disorders Research (3 papers), Parkinson's Disease Mechanisms and Treatments (2 papers), Cholinesterase and Neurodegenerative Diseases (2 papers), RNA Research and Splicing (2 papers), Alzheimer's disease research and treatments (2 papers), Prion Diseases and Protein Misfolding (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Neurology (263 citations), Genetics (135 citations), Neurology (59 citations), Aging (9 citations) and Cellular and Molecular Neuroscience (87 citations). Jer‐Cherng Chang has collaborated with scholars based in United States, Singapore and South Korea. Frequent co-authors include David B. Morton, Dennis J. Hazelett, Shuo‐Chien Ling, Wan Yun Ho, Ruey‐Bing Yang, Kuang‐Hui Lu, Michael E. Adams, Judith A. Stewart, Hannelore Hartmann and Edward H. Koo. Their work appears in journals such as Proceedings of the National Academy of Sciences, G3 Genes Genomes Genetics, iScience, Autophagy 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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