Daniele D’Ambrosio
- Immunology top 0.2%
- T-cell and B-cell Immunology 33
- Immunotherapy and Immune Responses 24
- Immune Cell Function and Interaction 19
- Immune Response and Inflammation 7
- Immunology and Allergy top 0.5%
- Cell Adhesion Molecules Research 10
- Oncology top 0.5%
- Chemokine receptors and signaling 25
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- Multiple Sclerosis Research Studies 5
- Virology top 2%
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- Sphingolipid Metabolism and Signaling 10
- Co-authors
- Francesco SinigagliaPaola Panina‐BordignonRosmarie LangAlberto MantovaniAndrea IellemSilvano SozzaniRaffaella BonecchiDaniela Mazzeo
- Partner nations
- ItalySwitzerlandUnited States
In The Last Decade
Daniele D’Ambrosio
82 papers receiving 9.2k citations
Hit Papers
Peers
Comparison fields: 5 of 128
- Immunology 6.2k
- Immunology and Allergy 744
- Oncology 2.8k
- Pathology and Forensic Medicine 964
- Virology 232
Countries citing papers authored by Daniele D’Ambrosio
This map shows the geographic impact of Daniele D’Ambrosio'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 Daniele D’Ambrosio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniele D’Ambrosio more than expected).
Fields of papers citing papers by Daniele D’Ambrosio
This network shows the impact of papers produced by Daniele D’Ambrosio. 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 Daniele D’Ambrosio. The network helps show where Daniele D’Ambrosio may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniele D’Ambrosio, 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 | 2018 | 2 | |
| 2 | 2016 | 15 | |
| 3 | 2015 | 17 | |
| 4 | 2015 | 8 | |
| 5 | 2014 | 127 | |
| 6 | 2012 | 9 | |
| 7 | 2011 | 13 | |
| 8 | 2005 | 44 | |
| 9 | Cell migration in inflammation and immunity : methods and protocols | 2004 | 3 |
| 10 | La comorbilità nell'anziano: Epidemiologia e caratteristiche cliniche | 2004 | 2 |
| 11 | 2003 | 88 | |
| 12 | 2002 | 16 | |
| 13 | Unique Chemotactic Response Profile and Specific Expression of Chemokine Receptors Ccr4 and Ccr8 by Cd4+Cd25+ Regulatory T Cellsbreakdown → | 2001 | 740 |
| 14 | 2001 | 118 | |
| 15 | 2000 | 24 | |
| 16 | 2000 | 27 | |
| 17 | 2000 | 41 | |
| 18 | 1999 | 126 | |
| 19 | 1997 | 373 | |
| 20 | 1996 | 91 |
About Daniele D’Ambrosio
Daniele D’Ambrosio is a scholar working on Immunology, Immunology and Allergy and Oncology, having authored 84 papers that have together received 9.5k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (33 papers), Chemokine receptors and signaling (25 papers), Immunotherapy and Immune Responses (24 papers), Immune Cell Function and Interaction (19 papers), Sphingolipid Metabolism and Signaling (10 papers), Cell Adhesion Molecules Research (10 papers), Immune Response and Inflammation (7 papers) and Multiple Sclerosis Research Studies (5 papers). The work is most often cited by research in Immunology (6.2k citations), Immunology and Allergy (744 citations) and Oncology (2.8k citations). Daniele D’Ambrosio has collaborated with scholars based in Italy, Switzerland and United States. Frequent co-authors include Francesco Sinigaglia, Paola Panina‐Bordignon, Rosmarie Lang, Alberto Mantovani, Andrea Iellem, Silvano Sozzani, Raffaella Bonecchi, Daniela Mazzeo, Angela Santoni and Paola Allavena. Their work appears in journals such as Science, The Lancet 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.