Marcelo G. Bonini
- Molecular Biology top 2%
- Physiology top 1%
- Cell Biology top 2%
- Immunology top 5%
- Cancer Research top 5%
- Co-authors
- Ohára AugustoRonald P. MasonBenjamin N. GantnerRichard D. MinshallMao MaoSilvia Lopes de MenezesEdlaine LinaresAngélica M. Amanso
- Topics
- Nitric Oxide and Endothelin Effects (35 papers)Caveolin-1 and cellular processes (18 papers)Mitochondrial Function and Pathology (18 papers)
- Cited by
- BiochemistryBiophysicsPhysiology
- Journals
- NatureProceedings of the National Academy of SciencesJournal of the American Chemical Society
- Partner nations
- United StatesBrazilCanada
In The Last Decade
Marcelo G. Bonini
131 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 157
- Molecular Biology 2.9k
- Physiology 1.6k
- Cell Biology 652
- Immunology 610
- Cancer Research 553
Countries citing papers authored by Marcelo G. Bonini
This map shows the geographic impact of Marcelo G. Bonini'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 Marcelo G. Bonini with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcelo G. Bonini more than expected).
Fields of papers citing papers by Marcelo G. Bonini
This network shows the impact of papers produced by Marcelo G. Bonini. 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 Marcelo G. Bonini. The network helps show where Marcelo G. Bonini may publish in the future.
Co-authorship network of co-authors of Marcelo G. Bonini
This figure shows the co-authorship network connecting the top 25 collaborators of Marcelo G. Bonini. A scholar is included among the top collaborators of Marcelo G. Bonini 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 Marcelo G. Bonini. Marcelo G. Bonini is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | ROS production by mitochondria: function or dysfunction?breakdown → | 238 |
| 2 | 7 | |
| 3 | 116 | |
| 4 | 9 | |
| 5 | 31 | |
| 6 | 42 | |
| 7 | 54 | |
| 8 | 260 | |
| 9 | 88 | |
| 10 | 43 | |
| 11 | 32 | |
| 12 | 85 | |
| 13 | 30 | |
| 14 | 55 | |
| 15 | 15 | |
| 16 | 31 | |
| 17 | 30 | |
| 18 | 21 | |
| 19 | 68 | |
| 20 | 12 |
About Marcelo G. Bonini
Marcelo G. Bonini is a scholar working on Biophysics, Physiology and Cell Biology, having authored 133 papers that have together received 6.4k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (35 papers), Caveolin-1 and cellular processes (18 papers) and Mitochondrial Function and Pathology (18 papers). The work is most often cited by research in Biochemistry (501 citations), Biophysics (394 citations) and Physiology (1.6k citations). Marcelo G. Bonini has collaborated with scholars based in United States, Brazil and Canada. Frequent co-authors include Ohára Augusto, Ronald P. Mason, Benjamin N. Gantner, Richard D. Minshall, Mao Mao, Silvia Lopes de Menezes, Edlaine Linares, Angélica M. Amanso, Márcia Edilaine Lopes Consolaro and Peter C. Hart. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.
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.