Chia-Ping Chang

1.7k citations
10 papers · 1.4k · h-index 10

Impact in

Papers in

Chia-Ping Chang

10 papers receiving 1.4k citations

Peers

Chia-Ping Chang
Comparison fields: 5 of 76
  • Behavioral Neuroscience 353
  • Biological Psychiatry 70
  • Endocrinology, Diabetes and Metabolism 395
  • Cellular and Molecular Neuroscience 326
  • Molecular Biology 756
Replace Olivier Valdenaire with:
Olivier Valdenaire Switzerland
Richard A. Maki United States
D. Dondi Italy
Ruth M. Gubits United States
María Dolores Gutiérrez‐López Spain
Burcu Hasdemir United States
Meike Pauly-Evers Switzerland
Andrée Tixier‐Vidal France
Adrian K. Hewson United Kingdom
Catalina Hernández‐Sánchez Spain
Chia-Ping Chang relative to Olivier Valdenaire Switzerland Olivier Valdenaire's profile →
Citations per field
00.5×2.7×
Olivier Valdenaire · 1×
Citations per year

Countries citing papers authored by Chia-Ping Chang

Since Specialization
Citations

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

Fields of papers citing papers by Chia-Ping Chang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 1993458
2 1992268
3 1996164
4 1993135
5 1995130
6 199285
7 199772
8 199151
9 199523
10 199222

About Chia-Ping Chang

Chia-Ping Chang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cardiology and Cardiovascular Medicine, Oncology and Radiology, Nuclear Medicine and Imaging, having authored 10 papers that have together received 1.4k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Ion channel regulation and function (2 papers), Biochemical and Structural Characterization (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Colorectal Cancer Treatments and Studies (1 paper). The work is most often cited by research in Behavioral Neuroscience (353 citations), Biological Psychiatry (70 citations), Endocrinology, Diabetes and Metabolism (395 citations), Cellular and Molecular Neuroscience (326 citations) and Molecular Biology (756 citations). Chia-Ping Chang has collaborated with scholars based in United States and France. Frequent co-authors include Michael G. Rosenfeld, Richard V. Pearse, Shawn M. O’Connell, Sheng‐Cai Lin, Gordon N. Gill, Steven I. Dworetzky, H Wiley, Lee K. Opresko, Patrick M. Burke and M. Craig McKay. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, Nature, Neuron and Biochemical Pharmacology.

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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