Mario DiPaola
- Molecular Biology
- Cellular and Molecular Neuroscience top 10%
- Cell Biology top 10%
- Immunology
- Radiology, Nuclear Medicine and Imaging
- Co-authors
- Frederick R. MaxfieldArthur KarlinCharles KeithMichael L. ShelanskiPeter N. KaoCynthia CzajkowskiRobert N. CoxBenjamin Tycko
- Topics
- Nicotinic Acetylcholine Receptors Study (6 papers)Receptor Mechanisms and Signaling (4 papers)Protein Degradation and Inhibitors (3 papers)
- Journals
- Journal of Biological ChemistryThe Journal of Cell BiologyInternational Journal of Molecular Sciences
- Partner nations
- United StatesRussiaFrance
In The Last Decade
Mario DiPaola
16 papers receiving 523 citations
Peers
Comparison fields: 5 of 73
- Molecular Biology 458
- Cellular and Molecular Neuroscience 129
- Cell Biology 123
- Immunology 34
- Radiology, Nuclear Medicine and Imaging 28
Countries citing papers authored by Mario DiPaola
This map shows the geographic impact of Mario DiPaola'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 Mario DiPaola with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario DiPaola more than expected).
Fields of papers citing papers by Mario DiPaola
This network shows the impact of papers produced by Mario DiPaola. 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 Mario DiPaola. The network helps show where Mario DiPaola may publish in the future.
Co-authorship network of co-authors of Mario DiPaola
This figure shows the co-authorship network connecting the top 25 collaborators of Mario DiPaola. A scholar is included among the top collaborators of Mario DiPaola 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 Mario DiPaola. Mario DiPaola is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 19 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 13 | |
| 6 | Discussion of "Responses of Dynamic Systems Excited by Non-Gaussian Pulse Processes" | 3 |
| 7 | 74 | |
| 8 | 9 | |
| 9 | 59 | |
| 10 | Functional sites and transient states of the nicotinic acetylcholine receptor. | 4 |
| 11 | 44 | |
| 12 | 11 | |
| 13 | 49 | |
| 14 | 59 | |
| 15 | 16 | |
| 16 | 22 | |
| 17 | 166 |
About Mario DiPaola
Mario DiPaola is a scholar working on Physiology, Molecular Biology and Cellular and Molecular Neuroscience, having authored 17 papers that have together received 556 indexed citations. Recurring topics across this work include Nicotinic Acetylcholine Receptors Study (6 papers), Receptor Mechanisms and Signaling (4 papers) and Protein Degradation and Inhibitors (3 papers). The work is most often cited by research in Cell Biology (123 citations), Cellular and Molecular Neuroscience (129 citations) and Molecular Biology (458 citations). Mario DiPaola has collaborated with scholars based in United States, Russia and France. Frequent co-authors include Frederick R. Maxfield, Arthur Karlin, Charles Keith, Michael L. Shelanski, Peter N. Kao, Cynthia Czajkowski, Robert N. Cox, Benjamin Tycko, Darrell J. Yamashiro and David Feldman. Their work appears in journals such as Journal of Biological Chemistry, The Journal of Cell Biology and International Journal of Molecular 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.