Wanda Y. Wu
- Cardiology and Cardiovascular Medicine top 10%
- Surgery
- Radiology, Nuclear Medicine and Imaging
- Epidemiology
- Molecular Biology
- Co-authors
- Ron BlanksteinDavid BieryAdam N. BermanMarcelo F. Di CarliDeepak L. BhattAvinainder SinghSanjay DivakaranKhurram Nasir
- Topics
- Acute Myocardial Infarction Research (6 papers)Lipoproteins and Cardiovascular Health (6 papers)Cardiovascular Function and Risk Factors (4 papers)
- Cited by
- Cardiology and Cardiovascular MedicineHealth InformaticsRadiology, Nuclear Medicine and Imaging
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American College of CardiologyThe American Journal of Medicine
- Partner nations
- United StatesIsraelBrazil
In The Last Decade
Wanda Y. Wu
15 papers receiving 255 citations
Peers
Comparison fields: 5 of 55
- Cardiology and Cardiovascular Medicine 174
- Surgery 75
- Radiology, Nuclear Medicine and Imaging 45
- Epidemiology 21
- Molecular Biology 19
Countries citing papers authored by Wanda Y. Wu
This map shows the geographic impact of Wanda Y. Wu'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 Wanda Y. Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wanda Y. Wu more than expected).
Fields of papers citing papers by Wanda Y. Wu
This network shows the impact of papers produced by Wanda Y. Wu. 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 Wanda Y. Wu. The network helps show where Wanda Y. Wu may publish in the future.
Co-authorship network of co-authors of Wanda Y. Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Wanda Y. Wu. A scholar is included among the top collaborators of Wanda Y. Wu 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 Wanda Y. Wu. Wanda Y. Wu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 17 | |
| 6 | 19 | |
| 7 | 7 | |
| 8 | 37 | |
| 9 | 2 | |
| 10 | 13 | |
| 11 | 27 | |
| 12 | 2 | |
| 13 | 1 | |
| 14 | 33 | |
| 15 | 87 | |
| 16 | 2 |
About Wanda Y. Wu
Wanda Y. Wu is a scholar working on Health Informatics, Cardiology and Cardiovascular Medicine and Surgery, having authored 16 papers that have together received 257 indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (6 papers), Lipoproteins and Cardiovascular Health (6 papers) and Cardiovascular Function and Risk Factors (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (174 citations), Health Informatics (6 citations) and Radiology, Nuclear Medicine and Imaging (45 citations). Wanda Y. Wu has collaborated with scholars based in United States, Israel and Brazil. Frequent co-authors include Ron Blankstein, David Biery, Adam N. Berman, Marcelo F. Di Carli, Deepak L. Bhatt, Avinainder Singh, Sanjay Divakaran, Khurram Nasir, Jon Hainer and Ersilia M. DeFilippis. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American College of Cardiology and The American Journal of Medicine.
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.