Mario J. Rebecchi
- Molecular Biology top 2%
- Cell Biology top 0.5%
- Cellular and Molecular Neuroscience top 2%
- Physiology top 5%
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Srinivas PentyalaMarvin C. GershengornSuzanne ScarlataStuart McLaughlinElizabeth GerasEugenia Cifuentes-PaganoO M RosenAndrew J. Morris
- Topics
- Protein Kinase Regulation and GTPase Signaling (20 papers)Cellular transport and secretion (17 papers)Neuropeptides and Animal Physiology (9 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Biological Chemistry
- Partner nations
- United StatesChinaSweden
In The Last Decade
Mario J. Rebecchi
73 papers receiving 4.4k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Molecular Biology 3.0k
- Cell Biology 1.3k
- Cellular and Molecular Neuroscience 768
- Physiology 569
- Endocrinology, Diabetes and Metabolism 405
Countries citing papers authored by Mario J. Rebecchi
This map shows the geographic impact of Mario J. Rebecchi'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 J. Rebecchi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario J. Rebecchi more than expected).
Fields of papers citing papers by Mario J. Rebecchi
This network shows the impact of papers produced by Mario J. Rebecchi. 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 J. Rebecchi. The network helps show where Mario J. Rebecchi may publish in the future.
Co-authorship network of co-authors of Mario J. Rebecchi
This figure shows the co-authorship network connecting the top 25 collaborators of Mario J. Rebecchi. A scholar is included among the top collaborators of Mario J. Rebecchi 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 J. Rebecchi. Mario J. Rebecchi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 9 | |
| 3 | 28 | |
| 4 | 19 | |
| 5 | 8 | |
| 6 | 30 | |
| 7 | 16 | |
| 8 | 14 | |
| 9 | 24 | |
| 10 | 1 | |
| 11 | 23 | |
| 12 | 36 | |
| 13 | 14 | |
| 14 | 58 | |
| 15 | 36 | |
| 16 | 54 | |
| 17 | 108 | |
| 18 | 240 | |
| 19 | 150 | |
| 20 | 59 |
About Mario J. Rebecchi
Mario J. Rebecchi is a scholar working on Developmental Neuroscience, Cell Biology and Toxicology, having authored 73 papers that have together received 4.5k indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (20 papers), Cellular transport and secretion (17 papers) and Neuropeptides and Animal Physiology (9 papers). The work is most often cited by research in Cell Biology (1.3k citations), Molecular Biology (3.0k citations) and Cellular and Molecular Neuroscience (768 citations). Mario J. Rebecchi has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Srinivas Pentyala, Marvin C. Gershengorn, Suzanne Scarlata, Stuart McLaughlin, Elizabeth Geras, Eugenia Cifuentes-Pagano, O M Rosen, Andrew J. Morris, Richard Kolesnick and Angela Peterson. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.
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.