Bruno D. Fonseca
- Molecular Biology top 5%
- PI3K/AKT/mTOR signaling in cancer 11
- RNA and protein synthesis mechanisms 5
- Protein Kinase Regulation and GTPase Signaling 3
- RNA modifications and cancer 3
- Polyamine Metabolism and Applications 3
- RNA Research and Splicing 3
- CRISPR and Genetic Engineering 2
- Aging top 10%
- Cancer Research top 10%
- Physiology top 5%
- Cell Biology top 10%
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- Coagulation, Bradykinin, Polyphosphates, and Angioedema 3
- Co-authors
- Nahum SonenbergIvan TopisirovićRyan J.O. DowlingTommy AlainChristopher G. ProudAruna D. BalgiMichel RobergeYi Liu
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
Bruno D. Fonseca
16 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Molecular Biology 1.6k
- Aging 31
- Cancer Research 235
- Physiology 69
- Cell Biology 174
Countries citing papers authored by Bruno D. Fonseca
This map shows the geographic impact of Bruno D. Fonseca'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 Bruno D. Fonseca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bruno D. Fonseca more than expected).
Fields of papers citing papers by Bruno D. Fonseca
This network shows the impact of papers produced by Bruno D. Fonseca. 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 Bruno D. Fonseca. The network helps show where Bruno D. Fonseca may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Bruno D. Fonseca, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 9 | |
| 2 | 2021 | 23 | |
| 3 | 2020 | 26 | |
| 4 | 2019 | 24 | |
| 5 | 2018 | 53 | |
| 6 | 2017 | 130 | |
| 7 | 2012 | 120 | |
| 8 | 2012 | 131 | |
| 9 | 2012 | 143 | |
| 10 | 2011 | 98 | |
| 11 | mTORC1-Mediated Cell Proliferation, But Not Cell Growth, Controlled by the 4E-BPsbreakdown → | 2010 | 549 |
| 12 | 2009 | 367 | |
| 13 | 2009 | 288 | |
| 14 | 2008 | 25 | |
| 15 | 2008 | 114 | |
| 16 | 2008 | 21 |
About Bruno D. Fonseca
Bruno D. Fonseca is a scholar working on Genetics, Molecular Biology, Cancer Research, Psychiatry and Mental health and Immunology, having authored 16 papers that have together received 2.1k indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (11 papers), RNA and protein synthesis mechanisms (5 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), RNA modifications and cancer (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers), Polyamine Metabolism and Applications (3 papers), RNA Research and Splicing (3 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Molecular Biology (1.6k citations), Aging (31 citations), Cancer Research (235 citations), Physiology (69 citations) and Cell Biology (174 citations). Bruno D. Fonseca has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Nahum Sonenberg, Ivan Topisirović, Ryan J.O. Dowling, Tommy Alain, Christopher G. Proud, Aruna D. Balgi, Michel Roberge, Yi Liu, Ola Larsson and Michael Bidinosti. Their work appears in journals such as Journal of Biological Chemistry, RNA Biology, PLoS ONE, Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics and Wiley Interdisciplinary Reviews - RNA.
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.