Filippo Veglia
- Immunology top 0.5%
- Oncology top 2%
- Molecular Biology top 10%
- Cancer Research top 5%
- Pulmonary and Respiratory Medicine top 10%
- Co-authors
- Dmitry I. GabrilovichMichela PeregoEmilio SansevieroAlessio UgoliniValerian E. KaganAlessandra De LeoDariush MohammadyaniJudith Klein‐Seetharaman
- Topics
- Immune cells in cancer (16 papers)Immunotherapy and Immune Responses (10 papers)Immune Cell Function and Interaction (5 papers)
- Cited by
- ImmunologyOncologyCancer Research
- Partner nations
- United StatesItalyJapan
In The Last Decade
Filippo Veglia
27 papers receiving 3.9k citations
Hit Papers
Peers
Comparison fields: 5 of 99
- Immunology 2.8k
- Oncology 1.4k
- Molecular Biology 1.1k
- Cancer Research 597
- Pulmonary and Respiratory Medicine 349
Countries citing papers authored by Filippo Veglia
This map shows the geographic impact of Filippo Veglia'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 Filippo Veglia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Filippo Veglia more than expected).
Fields of papers citing papers by Filippo Veglia
This network shows the impact of papers produced by Filippo Veglia. 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 Filippo Veglia. The network helps show where Filippo Veglia may publish in the future.
Co-authorship network of co-authors of Filippo Veglia
This figure shows the co-authorship network connecting the top 25 collaborators of Filippo Veglia. A scholar is included among the top collaborators of Filippo Veglia based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Filippo Veglia. Filippo Veglia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Functional Reprogramming of Neutrophils within the Brain Tumor Microenvironment by Hypoxia-Driven Histone Lactylationbreakdown → | 23 |
| 2 | 5 | |
| 3 | Glucose-driven histone lactylation promotes the immunosuppressive activity of monocyte-derived macrophages in glioblastomabreakdown → | 142 |
| 4 | 17 | |
| 5 | 11 | |
| 6 | Myeloid-derived suppressor cells in the era of increasing myeloid cell diversitybreakdown → | 1150 |
| 7 | 71 | |
| 8 | 105 | |
| 9 | 105 | |
| 10 | Myeloid-derived suppressor cells coming of agebreakdown → | 1307 |
| 11 | 231 | |
| 12 | 337 | |
| 13 | 7 | |
| 14 | 10 | |
| 15 | 234 | |
| 16 | 46 | |
| 17 | 12 | |
| 18 | 19 | |
| 19 | 6 | |
| 20 | 1 |
About Filippo Veglia
Filippo Veglia is a scholar working on Immunology, Virology and Genetics, having authored 27 papers that have together received 4.0k indexed citations. Recurring topics across this work include Immune cells in cancer (16 papers), Immunotherapy and Immune Responses (10 papers) and Immune Cell Function and Interaction (5 papers). The work is most often cited by research in Immunology (2.8k citations), Oncology (1.4k citations) and Cancer Research (597 citations). Filippo Veglia has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Dmitry I. Gabrilovich, Michela Perego, Emilio Sanseviero, Alessio Ugolini, Valerian E. Kagan, Alessandra De Leo, Dariush Mohammadyani, Judith Klein‐Seetharaman, Esteban Celis and Andrew A. Amoscato. Their work appears in journals such as Nature Communications, The Journal of Experimental Medicine and Journal of Clinical Oncology.
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.