Angelo Vacca
- Hematology top 0.05%
- Multiple Myeloma Research and Treatments 121
- Platelet Disorders and Treatments 38
- Oncology top 0.2%
- Filtration and Separation top 0.2%
- Immunology and Allergy top 0.5%
- Cell Adhesion Molecules Research 37
- Cancer Research top 0.5%
- Cancer, Hypoxia, and Metabolism 26
-
- Angiogenesis and VEGF in Cancer 96
- Protein Degradation and Inhibitors 25
-
- Mast cells and histamine 31
-
- Chronic Lymphocytic Leukemia Research 26
- Co-authors
- Doménico RibattiAntonio SabatiniPaul GansFranco DammaccoBeatrice NicoRoberto RiaLuisa RoncaliVito Racanelli
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Angelo Vacca
484 papers receiving 22.3k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Hematology 5.4k
- Oncology 6.7k
- Filtration and Separation 468
- Immunology and Allergy 1.2k
- Cancer Research 2.8k
Countries citing papers authored by Angelo Vacca
This map shows the geographic impact of Angelo Vacca'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 Angelo Vacca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Angelo Vacca more than expected).
Fields of papers citing papers by Angelo Vacca
This network shows the impact of papers produced by Angelo Vacca. 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 Angelo Vacca. The network helps show where Angelo Vacca may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Angelo Vacca, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 2 | |
| 5 | 2022 | 27 | |
| 6 | 2022 | 13 | |
| 7 | 2020 | 10 | |
| 8 | 2014 | 53 | |
| 9 | 2013 | 50 | |
| 10 | 2013 | 54 | |
| 11 | 2009 | 75 | |
| 12 | 2008 | 37 | |
| 13 | 2008 | 79 | |
| 14 | 2003 | 28 | |
| 15 | 2002 | 111 | |
| 16 | 2002 | 129 | |
| 17 | 2001 | 11 | |
| 18 | 2000 | 129 | |
| 19 | 2000 | 67 | |
| 20 | Analysis of N-ras mutations in human cutaneous melanoma: tumor heterogeneity detected by polymerase chain reaction/single-stranded conformation polymorphism analysis | 1995 | 1 |
About Angelo Vacca
Angelo Vacca is a scholar working on Hematology, Immunology and Allergy, Genetics, Cancer Research and Immunology, having authored 494 papers that have together received 22.9k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (121 papers), Angiogenesis and VEGF in Cancer (96 papers), Platelet Disorders and Treatments (38 papers), Cell Adhesion Molecules Research (37 papers), Mast cells and histamine (31 papers), Chronic Lymphocytic Leukemia Research (26 papers), Cancer, Hypoxia, and Metabolism (26 papers) and Protein Degradation and Inhibitors (25 papers). The work is most often cited by research in Hematology (5.4k citations), Oncology (6.7k citations), Filtration and Separation (468 citations), Immunology and Allergy (1.2k citations) and Cancer Research (2.8k citations). Angelo Vacca has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Doménico Ribatti, Antonio Sabatini, Paul Gans, Franco Dammacco, Beatrice Nico, Roberto Ria, Luisa Roncali, Vito Racanelli, Marco Presta and Enrico Crivellato. Their work appears in journals such as Clinical and Experimental Medicine, Blood, Cancers, Leukemia and Journal of Clinical Medicine.
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.