Giacomo Oliveira
- Immunology top 5%
- Immune Cell Function and Interaction 12
- T-cell and B-cell Immunology 9
- Immunotherapy and Immune Responses 3
- Oncology top 5%
- CAR-T cell therapy research 12
- Hematology top 5%
- Hematopoietic Stem Cell Transplantation 8
- Genetics top 10%
- Virus-based gene therapy research 8
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- vaccines and immunoinformatics approaches 3
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- Cytomegalovirus and herpesvirus research 4
- Co-authors
- Catherine J. WuChiara BoniniNicoletta CieriFabio CiceriAttilio BondanzaMaria Teresa Lupo StanghelliniJacopo PeccatoriClaudio Bordignon
- Cited by
- ImmunologyOncologyHematology
- Journals
- Nature Communications (1 paper)Journal of Clinical Oncology (1 paper)Nature reviews. Cancer (1 paper)
- Partner nations
- ItalyUnited StatesGermany
In The Last Decade
Giacomo Oliveira
25 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Immunology 802
- Oncology 854
- Hematology 246
- Genetics 237
- Molecular Biology 405
Countries citing papers authored by Giacomo Oliveira
This map shows the geographic impact of Giacomo Oliveira'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 Giacomo Oliveira with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giacomo Oliveira more than expected).
Fields of papers citing papers by Giacomo Oliveira
This network shows the impact of papers produced by Giacomo Oliveira. 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 Giacomo Oliveira. The network helps show where Giacomo Oliveira may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Giacomo Oliveira, 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 | 7 | |
| 2 | 2024 | 15 | |
| 3 | 2024 | 0 | |
| 4 | Dynamics and specificities of T cells in cancer immunotherapybreakdown → | 2023 | 293 |
| 5 | 2022 | 32 | |
| 6 | 2021 | 32 | |
| 7 | 2019 | 21 | |
| 8 | 2019 | 35 | |
| 9 | 2018 | 51 | |
| 10 | 2017 | 144 | |
| 11 | 2016 | 7 | |
| 12 | 2015 | 95 | |
| 13 | 2015 | 8 | |
| 14 | 2014 | 3 | |
| 15 | 2013 | 7 | |
| 16 | 2013 | 41 | |
| 17 | 2012 | 36 | |
| 18 | 2012 | 23 | |
| 19 | 2012 | 455 | |
| 20 | 2011 | 1 |
About Giacomo Oliveira
Giacomo Oliveira is a scholar working on Immunology, Hematology and Oncology, having authored 26 papers that have together received 1.4k indexed citations. Recurring topics across this work include CAR-T cell therapy research (12 papers), Immune Cell Function and Interaction (12 papers), T-cell and B-cell Immunology (9 papers), Virus-based gene therapy research (8 papers), Hematopoietic Stem Cell Transplantation (8 papers), Cytomegalovirus and herpesvirus research (4 papers), vaccines and immunoinformatics approaches (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Immunology (802 citations), Oncology (854 citations) and Hematology (246 citations). Giacomo Oliveira has collaborated with scholars based in Italy, United States and Germany. Frequent co-authors include Catherine J. Wu, Chiara Bonini, Nicoletta Cieri, Fabio Ciceri, Attilio Bondanza, Maria Teresa Lupo Stanghellini, Jacopo Peccatori, Claudio Bordignon, Mattia Forcato and Silvio Bicciato. Their work appears in journals such as Nature Communications, Journal of Clinical Oncology and Nature reviews. Cancer.
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.