Gilmar F. Salgado
- Molecular Biology top 5%
- DNA and Nucleic Acid Chemistry 31
- Advanced biosensing and bioanalysis techniques 28
- RNA Interference and Gene Delivery 25
- Receptor Mechanisms and Signaling 11
- RNA and protein synthesis mechanisms 8
- Lipid Membrane Structure and Behavior 5
- Virology top 5%
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- Photoreceptor and optogenetics research 12
- Neuroscience and Neuropharmacology Research 10
- Spectroscopy top 10%
- Co-authors
- Jean‐Louis MergnyCarla CruzMichael F. BrownJoão A. QueirozJosué CarvalhoAndrey V. StrutsEurico J. CabritaTiago Santos
- Journals
- Biochimica et Biophysica Acta (BBA) - Biomembranes (4 papers)Nucleic Acids Research (4 papers)Journal of the American Chemical Society (4 papers)
- Partner nations
- FrancePortugalUnited States
In The Last Decade
Gilmar F. Salgado
55 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 85
- Molecular Biology 1.5k
- Virology 85
- Cellular and Molecular Neuroscience 295
- Spectroscopy 122
- Infectious Diseases 87
Countries citing papers authored by Gilmar F. Salgado
This map shows the geographic impact of Gilmar F. Salgado'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 Gilmar F. Salgado with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gilmar F. Salgado more than expected).
Fields of papers citing papers by Gilmar F. Salgado
This network shows the impact of papers produced by Gilmar F. Salgado. 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 Gilmar F. Salgado. The network helps show where Gilmar F. Salgado may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gilmar F. Salgado, 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 | 2025 | 1 | |
| 2 | 2024 | 5 | |
| 3 | 2022 | 26 | |
| 4 | 2021 | 11 | |
| 5 | 2020 | 28 | |
| 6 | 2020 | 38 | |
| 7 | 2017 | 45 | |
| 8 | 2017 | 9 | |
| 9 | 2017 | 65 | |
| 10 | 2017 | 24 | |
| 11 | 2016 | 16 | |
| 12 | 2016 | 29 | |
| 13 | 2015 | 22 | |
| 14 | 2015 | 9 | |
| 15 | 2011 | 28 | |
| 16 | 2011 | 61 | |
| 17 | 2009 | 26 | |
| 18 | 2007 | 43 | |
| 19 | 2007 | 37 | |
| 20 | 2004 | 93 |
About Gilmar F. Salgado
Gilmar F. Salgado is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Virology, having authored 56 papers that have together received 1.8k indexed citations. Recurring topics across this work include DNA and Nucleic Acid Chemistry (31 papers), Advanced biosensing and bioanalysis techniques (28 papers), RNA Interference and Gene Delivery (25 papers), Photoreceptor and optogenetics research (12 papers), Receptor Mechanisms and Signaling (11 papers), Neuroscience and Neuropharmacology Research (10 papers), RNA and protein synthesis mechanisms (8 papers) and Lipid Membrane Structure and Behavior (5 papers). The work is most often cited by research in Molecular Biology (1.5k citations), Virology (85 citations) and Cellular and Molecular Neuroscience (295 citations). Gilmar F. Salgado has collaborated with scholars based in France, Portugal and United States. Frequent co-authors include Jean‐Louis Mergny, Carla Cruz, Michael F. Brown, João A. Queiroz, Josué Carvalho, Andrey V. Struts, Eurico J. Cabrita, Tiago Santos, Isabel D. Alves and Koji Nakanishi. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Biomembranes, Nucleic Acids Research, Journal of the American Chemical Society, Biochimica et Biophysica Acta (BBA) - General Subjects and Organic & Biomolecular 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.