Daniel Vasconcelos
Impact in
- Microbiology top 5%
- Antimicrobial Peptides and Activities
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- RNA Interference and Gene Delivery
- Advanced biosensing and bioanalysis techniques
- Lipid Membrane Structure and Behavior
Papers in
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- Antimicrobial Peptides and Activities 3
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- Advanced biosensing and bioanalysis techniques 10
- RNA Interference and Gene Delivery 9
- Lipid Membrane Structure and Behavior 2
- DNA and Nucleic Acid Chemistry 2
- Co-authors
- Ülo Langel (7 shared papers)Kalle Pärn (1 shared paper)Margus Pooga (3 shared papers)Helerin Margus (3 shared papers)Mattias Hällbrink (3 shared papers)Piret Arukuusk (3 shared papers)Fatemeh Madani (3 shared papers)Tõnis Lehto (2 shared papers)
- Journals
- Biochimica et Biophysica Acta (BBA) - Biomembranes (2 papers)Bioconjugate Chemistry (2 papers)Molecular Therapy — Nucleic Acids (1 paper)Biophysical Chemistry (1 paper)Journal of Controlled Release (1 paper)
- Partner nations
- SwedenEstoniaUnited Kingdom
In The Last Decade
Daniel Vasconcelos
12 papers receiving 401 citations
Peers
Comparison fields: 5 of 63
- Microbiology 79
- Molecular Biology 330
- Biomaterials 41
- Cancer Research 26
- Genetics 44
Countries citing papers authored by Daniel Vasconcelos
This map shows the geographic impact of Daniel Vasconcelos'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 Daniel Vasconcelos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Vasconcelos more than expected).
Fields of papers citing papers by Daniel Vasconcelos
This network shows the impact of papers produced by Daniel Vasconcelos. 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 Daniel Vasconcelos. The network helps show where Daniel Vasconcelos may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Vasconcelos, 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 | 2013 | 77 | |
| 2 | 2017 | 56 | |
| 3 | 2013 | 51 | |
| 4 | 2016 | 49 | |
| 5 | 2017 | 32 | |
| 6 | 2016 | 32 | |
| 7 | 2019 | 30 | |
| 8 | 2014 | 29 | |
| 9 | 2021 | 18 | |
| 10 | 2017 | 14 | |
| 11 | 2022 | 12 | |
| 12 | 2024 | 7 | |
| 13 | 2025 | 0 |
About Daniel Vasconcelos
Daniel Vasconcelos is a scholar working on Microbiology, Molecular Biology, Geriatrics and Gerontology, Genetics and Cancer Research, having authored 13 papers that have together received 407 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (10 papers), RNA Interference and Gene Delivery (9 papers), Antimicrobial Peptides and Activities (3 papers), Lipid Membrane Structure and Behavior (2 papers), DNA and Nucleic Acid Chemistry (2 papers), Biochemical effects in animals (1 paper), MicroRNA in disease regulation (1 paper) and interferon and immune responses (1 paper). The work is most often cited by research in Microbiology (79 citations), Molecular Biology (330 citations), Biomaterials (41 citations), Cancer Research (26 citations) and Genetics (44 citations). Daniel Vasconcelos has collaborated with scholars based in Sweden, Estonia and United Kingdom. Frequent co-authors include Ülo Langel, Kalle Pärn, Margus Pooga, Helerin Margus, Mattias Hällbrink, Piret Arukuusk, Fatemeh Madani, Tõnis Lehto, Ricardo Figueroa and Jakob Regberg. Their work appears in journals such as Biochimica et Biophysica Acta (BBA) - Biomembranes, Bioconjugate Chemistry, Molecular Therapy — Nucleic Acids, Biophysical Chemistry and Journal of Controlled Release.
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.