Daniel J. Brady
Impact in
- Microbiology top 5%
- Antimicrobial Peptides and Activities
- Insect Science top 10%
- Insect Utilization and Effects
- Insect symbiosis and bacterial influences
Papers in
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- Invertebrate Immune Response Mechanisms 4
-
- Insect symbiosis and bacterial influences 2
- Co-authors
- Federica Sandrelli (6 shared papers)Ottavia Romoli (3 shared papers)Alessandro Grapputo (1 shared paper)Alessio Saviane (4 shared papers)Silvia Cappellozza (4 shared papers)Chiara Rampazzo (1 shared paper)Elisabetta Bergantino (1 shared paper)Francesca Zito (1 shared paper)
- Journals
- ACS Applied Bio Materials (1 paper)ACS Infectious Diseases (1 paper)ACS Biomaterials Science & Engineering (1 paper)International Journal of Molecular Sciences (1 paper)Frontiers in Physiology (1 paper)
- Partner nations
- ItalyGermanyFrench Guiana
In The Last Decade
Daniel J. Brady
10 papers receiving 271 citations
Peers
Comparison fields: 5 of 56
- Microbiology 138
- Insect Science 85
- Immunology 55
- Endocrine and Autonomic Systems 17
- Molecular Medicine 12
Countries citing papers authored by Daniel J. Brady
This map shows the geographic impact of Daniel J. Brady'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 J. Brady with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel J. Brady more than expected).
Fields of papers citing papers by Daniel J. Brady
This network shows the impact of papers produced by Daniel J. Brady. 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 J. Brady. The network helps show where Daniel J. Brady may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel J. Brady, 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 | 2019 | 162 | |
| 2 | 2021 | 40 | |
| 3 | 2019 | 35 | |
| 4 | 2020 | 10 | |
| 5 | 2025 | 10 | |
| 6 | 2024 | 6 | |
| 7 | 2022 | 5 | |
| 8 | 2020 | 3 | |
| 9 | 2025 | 2 | |
| 10 | 2025 | 2 |
About Daniel J. Brady
Daniel J. Brady is a scholar working on Immunology, Insect Science, Molecular Biology, Microbiology and Cellular and Molecular Neuroscience, having authored 10 papers that have together received 275 indexed citations. Recurring topics across this work include Invertebrate Immune Response Mechanisms (4 papers), Antimicrobial Peptides and Activities (3 papers), Silk-based biomaterials and applications (2 papers), Neurobiology and Insect Physiology Research (2 papers), Insect and Arachnid Ecology and Behavior (2 papers), Crustacean biology and ecology (2 papers), Coral and Marine Ecosystems Studies (2 papers) and Insect symbiosis and bacterial influences (2 papers). The work is most often cited by research in Microbiology (138 citations), Insect Science (85 citations), Immunology (55 citations), Endocrine and Autonomic Systems (17 citations) and Molecular Medicine (12 citations). Daniel J. Brady has collaborated with scholars based in Italy, Germany and French Guiana. Frequent co-authors include Federica Sandrelli, Ottavia Romoli, Alessandro Grapputo, Alessio Saviane, Silvia Cappellozza, Chiara Rampazzo, Elisabetta Bergantino, Francesca Zito, Aurora Montali and Elisa Franzolin. Their work appears in journals such as ACS Applied Bio Materials, ACS Infectious Diseases, ACS Biomaterials Science & Engineering, International Journal of Molecular Sciences and Frontiers in Physiology.
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.