Franco R. D’Alessio
- Immunology top 2%
- Immune Cell Function and Interaction 10
- Immune Response and Inflammation 10
- Immune cells in cancer 9
- IL-33, ST2, and ILC Pathways 5
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- Neonatal Respiratory Health Research 18
- Respiratory Support and Mechanisms 12
- Chronic Obstructive Pulmonary Disease (COPD) Research 6
- Sensory Systems top 5%
- Cancer Research top 10%
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- Asthma and respiratory diseases 6
- Co-authors
- Landon S. KingNeil R. AggarwalKenji TsushimaBenjamin D. SingerVenkataramana K. SidhayeJason R. MockBrian T. GaribaldiRubin M. Tuder
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Biological Chemistry (1 paper)Journal of Clinical Investigation (2 papers)
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Franco R. D’Alessio
57 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Immunology 1.3k
- Pulmonary and Respiratory Medicine 1.2k
- Critical Care and Intensive Care Medicine 103
- Sensory Systems 63
- Cancer Research 169
Countries citing papers authored by Franco R. D’Alessio
This map shows the geographic impact of Franco R. D’Alessio'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 Franco R. D’Alessio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Franco R. D’Alessio more than expected).
Fields of papers citing papers by Franco R. D’Alessio
This network shows the impact of papers produced by Franco R. D’Alessio. 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 Franco R. D’Alessio. The network helps show where Franco R. D’Alessio may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Franco R. D’Alessio, 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 | 2025 | 0 | |
| 3 | 2023 | 1 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 22 | |
| 7 | 2021 | 9 | |
| 8 | 2021 | 47 | |
| 9 | 2020 | 3 | |
| 10 | 2018 | 38 | |
| 11 | 2018 | 109 | |
| 12 | 2015 | 12 | |
| 13 | 2014 | 33 | |
| 14 | 2014 | 34 | |
| 15 | 2014 | 82 | |
| 16 | 2014 | 117 | |
| 17 | 2013 | 23 | |
| 18 | 2013 | 21 | |
| 19 | 2012 | 3 | |
| 20 | 2009 | 448 |
About Franco R. D’Alessio
Franco R. D’Alessio is a scholar working on Immunology, Pulmonary and Respiratory Medicine and Infectious Diseases, having authored 63 papers that have together received 3.0k indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (18 papers), Respiratory Support and Mechanisms (12 papers), Immune Cell Function and Interaction (10 papers), Immune Response and Inflammation (10 papers), Immune cells in cancer (9 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (6 papers), Asthma and respiratory diseases (6 papers) and IL-33, ST2, and ILC Pathways (5 papers). The work is most often cited by research in Immunology (1.3k citations), Pulmonary and Respiratory Medicine (1.2k citations) and Critical Care and Intensive Care Medicine (103 citations). Franco R. D’Alessio has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Landon S. King, Neil R. Aggarwal, Kenji Tsushima, Benjamin D. Singer, Venkataramana K. Sidhaye, Jason R. Mock, Brian T. Garibaldi, Rubin M. Tuder, John F. McDyer and Erin E. West. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Journal of Clinical Investigation.
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.