Salvatore De Simone
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune cells in cancer
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
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- Cancer, Hypoxia, and Metabolism
Papers in
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- Immune Cell Function and Interaction 4
- Immune Response and Inflammation 2
- T-cell and B-cell Immunology 2
- Immunotherapy and Immune Responses 1
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- Advanced Software Engineering Methodologies 2
- Co-authors
- Veronica De Rosa (4 shared papers)Mario Galgani (3 shared papers)Giuseppe Matarese (3 shared papers)Antonio Porcellini (3 shared papers)Candida Zuchegna (2 shared papers)Marianna Santopaolo (2 shared papers)Antonella Romano (2 shared papers)Alessandra Colamatteo (2 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Nature Immunology (1 paper)International Journal of Cardiology (1 paper)Journal of Biological Chemistry (1 paper)Real-Time Systems (1 paper)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Salvatore De Simone
7 papers receiving 443 citations
Peers
Comparison fields: 5 of 74
- Immunology 267
- Cancer Research 69
- Biological Psychiatry 5
- Physiology 10
- Neurology 16
Countries citing papers authored by Salvatore De Simone
This map shows the geographic impact of Salvatore De Simone'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 Salvatore De Simone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Salvatore De Simone more than expected).
Fields of papers citing papers by Salvatore De Simone
This network shows the impact of papers produced by Salvatore De Simone. 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 Salvatore De Simone. The network helps show where Salvatore De Simone may publish in the future.
Co-authors
The 25 scholars most cited alongside Salvatore De Simone, 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 | 2015 | 315 | |
| 2 | 2004 | 43 | |
| 3 | 2019 | 41 | |
| 4 | 2020 | 29 | |
| 5 | 2016 | 11 | |
| 6 | 2023 | 4 | |
| 7 | 2022 | 1 |
About Salvatore De Simone
Salvatore De Simone is a scholar working on Immunology, Artificial Intelligence, Oncology, Hardware and Architecture and Computational Theory and Mathematics, having authored 7 papers that have together received 444 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (4 papers), Advanced Software Engineering Methodologies (2 papers), Immune Response and Inflammation (2 papers), T-cell and B-cell Immunology (2 papers), Petri Nets in System Modeling (1 paper), Railway Systems and Energy Efficiency (1 paper), Real-Time Systems Scheduling (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Immunology (267 citations), Cancer Research (69 citations), Biological Psychiatry (5 citations), Physiology (10 citations) and Neurology (16 citations). Salvatore De Simone has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Veronica De Rosa, Mario Galgani, Giuseppe Matarese, Antonio Porcellini, Candida Zuchegna, Marianna Santopaolo, Antonella Romano, Alessandra Colamatteo, Claudio Procaccini and P Carrieri. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Immunology, International Journal of Cardiology, Journal of Biological Chemistry and Real-Time Systems.
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.