Marisa C. Suarez
Impact in
- Biotechnology top 10%
- Microbial Inactivation Methods
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- Protein Structure and Dynamics
- Prion Diseases and Protein Misfolding
- RNA and protein synthesis mechanisms
Papers in
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- Protein Structure and Dynamics 4
- RNA and protein synthesis mechanisms 4
- Amyloidosis: Diagnosis, Treatment, Outcomes 1
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- Cardiomyopathy and Myosin Studies 7
- Co-authors
- Jerson L. Silva (12 shared papers)Débora Foguel (11 shared papers)Andréa C. Oliveira (2 shared papers)Guilherme A. P. de Oliveira (2 shared papers)Tuane C. R. G. Vieira (1 shared paper)Jeffery W. Kelly (2 shared papers)Peter T. Lansbury (1 shared paper)Astria Dias Ferrão Gonzales (1 shared paper)
- Journals
- Biochemistry (4 papers)Proceedings of the National Academy of Sciences (2 papers)Biophysical Journal (2 papers)Bone (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- BrazilUnited StatesGermany
In The Last Decade
Marisa C. Suarez
13 papers receiving 577 citations
Peers
Comparison fields: 5 of 88
- Biotechnology 75
- Molecular Biology 366
- Physiology 115
- Cell Biology 54
- Filtration and Separation 7
Countries citing papers authored by Marisa C. Suarez
This map shows the geographic impact of Marisa C. Suarez'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 Marisa C. Suarez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marisa C. Suarez more than expected).
Fields of papers citing papers by Marisa C. Suarez
This network shows the impact of papers produced by Marisa C. Suarez. 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 Marisa C. Suarez. The network helps show where Marisa C. Suarez may publish in the future.
Co-authors
The 25 scholars most cited alongside Marisa C. Suarez, 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 | 2014 | 187 | |
| 2 | 2003 | 153 | |
| 3 | 2003 | 40 | |
| 4 | 2006 | 36 | |
| 5 | 1991 | 33 | |
| 6 | 1996 | 33 | |
| 7 | 2001 | 24 | |
| 8 | 2004 | 21 | |
| 9 | 2003 | 17 | |
| 10 | 2008 | 13 | |
| 11 | 2012 | 10 | |
| 12 | 2008 | 10 | |
| 13 | 2005 | 8 | |
| 14 | 2025 | 0 |
About Marisa C. Suarez
Marisa C. Suarez is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Atomic and Molecular Physics, and Optics, Cell Biology and Physiology, having authored 14 papers that have together received 585 indexed citations. Recurring topics across this work include Cardiomyopathy and Myosin Studies (7 papers), Protein Structure and Dynamics (4 papers), RNA and protein synthesis mechanisms (4 papers), Force Microscopy Techniques and Applications (3 papers), Alzheimer's disease research and treatments (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (1 paper) and Neurological disorders and treatments (1 paper). The work is most often cited by research in Biotechnology (75 citations), Molecular Biology (366 citations), Physiology (115 citations), Cell Biology (54 citations) and Filtration and Separation (7 citations). Marisa C. Suarez has collaborated with scholars based in Brazil, United States and Germany. Frequent co-authors include Jerson L. Silva, Débora Foguel, Andréa C. Oliveira, Guilherme A. P. de Oliveira, Tuane C. R. G. Vieira, Jeffery W. Kelly, Peter T. Lansbury, Astria Dias Ferrão Gonzales, Hilal A. Lashuel and Leonardo R. Andrade. Their work appears in journals such as Biochemistry, Proceedings of the National Academy of Sciences, Biophysical Journal, Bone 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.