Chia-Ping Chang
Impact in
- Behavioral Neuroscience top 1%
- Stress Responses and Cortisol
- Biological Psychiatry top 5%
Papers in
-
- Glycosylation and Glycoproteins Research 4
- Protein Kinase Regulation and GTPase Signaling 3
- Ion channel regulation and function 2
- Biochemical and Structural Characterization 2
- Nicotinic Acetylcholine Receptors Study 1
- Co-authors
- Michael G. Rosenfeld (3 shared papers)Richard V. Pearse (1 shared paper)Shawn M. O’Connell (1 shared paper)Sheng‐Cai Lin (1 shared paper)Chijen R. Lin (1 shared paper)Gordon N. Gill (4 shared papers)Steven I. Dworetzky (2 shared papers)H Wiley (2 shared papers)
- Journals
- Journal of Biological Chemistry (3 papers)Molecular and Cellular Biology (2 papers)Journal of Neuroscience (1 paper)Biochemical Pharmacology (1 paper)Neuron (1 paper)
- Partner nations
- United StatesFrance
In The Last Decade
Chia-Ping Chang
10 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 79
- Behavioral Neuroscience 368
- Biological Psychiatry 71
- Endocrinology, Diabetes and Metabolism 420
- Cellular and Molecular Neuroscience 337
- Molecular Biology 797
Countries citing papers authored by Chia-Ping Chang
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 482 | |
| 2 | 1992 | 296 | |
| 3 | 1996 | 174 | |
| 4 | 1993 | 141 | |
| 5 | 1995 | 134 | |
| 6 | 1992 | 92 | |
| 7 | 1997 | 77 | |
| 8 | 1991 | 55 | |
| 9 | 1995 | 29 | |
| 10 | 1992 | 22 |
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 1.5k 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), Monoclonal and Polyclonal Antibodies Research (2 papers), Cancer, Hypoxia, and Metabolism (2 papers) and Nicotinic Acetylcholine Receptors Study (1 paper). The work is most often cited by research in Behavioral Neuroscience (368 citations), Biological Psychiatry (71 citations), Endocrinology, Diabetes and Metabolism (420 citations), Cellular and Molecular Neuroscience (337 citations) and Molecular Biology (797 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, Chijen R. Lin, Gordon N. Gill, Steven I. Dworetzky, H Wiley, Valentin K. Gribkoff and Debra J. Post-Munson. Their work appears in journals such as Journal of Biological Chemistry, Molecular and Cellular Biology, Journal of Neuroscience, Biochemical Pharmacology and Neuron.
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.