Dulciana Chan
- Cardiology and Cardiovascular Medicine top 10%
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Biomedical Engineering
- Electrical and Electronic Engineering
- Co-authors
- Wolfgang KainzKsenia BlinovaJayna StohlmanJosé VicenteLars JohannesenNorman StockbridgeDavid G. StraussLoriano Galeotti
- Topics
- Neuroscience and Neural Engineering (4 papers)Cardiac electrophysiology and arrhythmias (3 papers)Pluripotent Stem Cells Research (2 papers)
- Journals
- The American Journal of CardiologyIEEE Transactions on Biomedical EngineeringClinical Pharmacology & Therapeutics
- Partner nations
- United StatesAustriaSpain
In The Last Decade
Dulciana Chan
9 papers receiving 421 citations
Peers
Comparison fields: 5 of 73
- Cardiology and Cardiovascular Medicine 252
- Molecular Biology 189
- Cellular and Molecular Neuroscience 146
- Biomedical Engineering 115
- Electrical and Electronic Engineering 41
Countries citing papers authored by Dulciana Chan
This map shows the geographic impact of Dulciana Chan'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 Dulciana Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dulciana Chan more than expected).
Fields of papers citing papers by Dulciana Chan
This network shows the impact of papers produced by Dulciana Chan. 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 Dulciana Chan. The network helps show where Dulciana Chan may publish in the future.
Co-authorship network of co-authors of Dulciana Chan
This figure shows the co-authorship network connecting the top 25 collaborators of Dulciana Chan. A scholar is included among the top collaborators of Dulciana Chan based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dulciana Chan. Dulciana Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 22 | |
| 2 | 193 | |
| 3 | 107 | |
| 4 | 25 | |
| 5 | Defining the phenotype and molecular signatures of notochordal nucleus pulposus cells | 2 |
| 6 | 27 | |
| 7 | 12 | |
| 8 | 22 | |
| 9 | 33 |
About Dulciana Chan
Dulciana Chan is a scholar working on Cellular and Molecular Neuroscience, Biophysics and Speech and Hearing, having authored 9 papers that have together received 443 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (4 papers), Cardiac electrophysiology and arrhythmias (3 papers) and Pluripotent Stem Cells Research (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (252 citations), Cellular and Molecular Neuroscience (146 citations) and Biophysics (31 citations). Dulciana Chan has collaborated with scholars based in United States, Austria and Spain. Frequent co-authors include Wolfgang Kainz, Ksenia Blinova, Jayna Stohlman, José Vicente, Lars Johannesen, Norman Stockbridge, David G. Strauss, Loriano Galeotti, Mathew Brock and Jonathan Ross. Their work appears in journals such as The American Journal of Cardiology, IEEE Transactions on Biomedical Engineering and Clinical Pharmacology & Therapeutics.
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.