Natacha DePaola
- Molecular Biology
- Cell Biology top 2%
- Surgery top 10%
- Pulmonary and Respiratory Medicine top 5%
- Cardiology and Cardiovascular Medicine top 5%
- Co-authors
- Peter F. DaviesC. F. DeweyMichael A. GimbroneDenise C. PolacekWilliam F. PritchardJan E. SchnitzerVictor RizzoChristine A. Morton
- Topics
- Cellular Mechanics and Interactions (4 papers)Cell Adhesion Molecules Research (4 papers)Tissue Engineering and Regenerative Medicine (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Applied PhysiologyAnnals of the New York Academy of Sciences
- Partner nations
- United StatesPhilippines
In The Last Decade
Natacha DePaola
20 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 109
- Molecular Biology 681
- Cell Biology 525
- Surgery 469
- Pulmonary and Respiratory Medicine 399
- Cardiology and Cardiovascular Medicine 339
Countries citing papers authored by Natacha DePaola
This map shows the geographic impact of Natacha DePaola'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 Natacha DePaola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natacha DePaola more than expected).
Fields of papers citing papers by Natacha DePaola
This network shows the impact of papers produced by Natacha DePaola. 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 Natacha DePaola. The network helps show where Natacha DePaola may publish in the future.
Co-authorship network of co-authors of Natacha DePaola
This figure shows the co-authorship network connecting the top 25 collaborators of Natacha DePaola. A scholar is included among the top collaborators of Natacha DePaola 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 Natacha DePaola. Natacha DePaola is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 15 | |
| 2 | 9 | |
| 3 | 1 | |
| 4 | 23 | |
| 5 | 141 | |
| 6 | 39 | |
| 7 | 165 | |
| 8 | 181 | |
| 9 | 11 | |
| 10 | 66 | |
| 11 | 87 | |
| 12 | 77 | |
| 13 | 70 | |
| 14 | 1 | |
| 15 | 202 | |
| 16 | 258 | |
| 17 | 1 | |
| 18 | 37 | |
| 19 | 21 | |
| 20 | 376 |
About Natacha DePaola
Natacha DePaola is a scholar working on Immunology and Allergy, Cell Biology and Developmental Neuroscience, having authored 20 papers that have together received 1.8k indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (4 papers), Cell Adhesion Molecules Research (4 papers) and Tissue Engineering and Regenerative Medicine (3 papers). The work is most often cited by research in Immunology and Allergy (231 citations), Cell Biology (525 citations) and Cardiology and Cardiovascular Medicine (339 citations). Natacha DePaola has collaborated with scholars based in United States and Philippines. Frequent co-authors include Peter F. Davies, C. F. Dewey, Michael A. Gimbrone, Denise C. Polacek, William F. Pritchard, Jan E. Schnitzer, Victor Rizzo, Christine A. Morton, Brian P. Helmke and Kamon Kawkitinarong. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Applied Physiology and Annals of the New York Academy of Sciences.
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.