Giulia Parisi
- Immunology top 2%
- Immunotherapy and Immune Responses 12
- Immune Cell Function and Interaction 7
- Oncology top 2%
- Cancer Immunotherapy and Biomarkers 6
- CAR-T cell therapy research 5
- Cancer Research top 10%
- Cancer Genomics and Diagnostics 3
- Molecular Biology top 10%
- Epigenetics and DNA Methylation 11
- Histone Deacetylase Inhibitors Research 4
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- Folate and B Vitamins Research 4
- Co-authors
- Antoni RibasBlanca Homet MorenoJesse M. ZaretskySiwen Hu‐LieskovanThomas G. GraeberÁngel García-DíazDavis Y. TorrejonDaniel Sanghoon Shin
- Cited by
- ImmunologyOncologyCancer Research
- Journals
- Journal of Translational Medicine (3 papers)NeuroMolecular Medicine (2 papers)Cancer Research (2 papers)
- Partner nations
- ItalyUnited StatesSwitzerland
In The Last Decade
Giulia Parisi
32 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 106
- Immunology 1.4k
- Oncology 1.5k
- Cancer Research 268
- Molecular Biology 1.1k
- Pulmonary and Respiratory Medicine 323
Countries citing papers authored by Giulia Parisi
This map shows the geographic impact of Giulia Parisi'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 Giulia Parisi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia Parisi more than expected).
Fields of papers citing papers by Giulia Parisi
This network shows the impact of papers produced by Giulia Parisi. 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 Giulia Parisi. The network helps show where Giulia Parisi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Giulia Parisi, 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 | 2024 | 0 | |
| 2 | 2020 | 79 | |
| 3 | 2020 | 31 | |
| 4 | Selective targeting of engineered T cells using orthogonal IL-2 cytokine-receptor complexesbreakdown → | 2018 | 275 |
| 5 | Interferon Receptor Signaling Pathways Regulating PD-L1 and PD-L2 Expressionbreakdown → | 2017 | 1327 |
| 6 | 2017 | 33 | |
| 7 | 2016 | 104 | |
| 8 | 2015 | 35 | |
| 9 | 2015 | 55 | |
| 10 | 2013 | 8 | |
| 11 | 2013 | 3 | |
| 12 | 2013 | 1 | |
| 13 | 2012 | 43 | |
| 14 | 2012 | 59 | |
| 15 | 2012 | 18 | |
| 16 | 2011 | 51 | |
| 17 | 2010 | 92 | |
| 18 | 2009 | 34 | |
| 19 | 2008 | 21 | |
| 20 | 2007 | 27 |
About Giulia Parisi
Giulia Parisi is a scholar working on Immunology, Neuropsychology and Physiological Psychology, Oncology, Rheumatology and Molecular Biology, having authored 35 papers that have together received 2.8k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (12 papers), Epigenetics and DNA Methylation (11 papers), Immune Cell Function and Interaction (7 papers), Cancer Immunotherapy and Biomarkers (6 papers), CAR-T cell therapy research (5 papers), Histone Deacetylase Inhibitors Research (4 papers), Folate and B Vitamins Research (4 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Immunology (1.4k citations), Oncology (1.5k citations), Cancer Research (268 citations), Molecular Biology (1.1k citations) and Pulmonary and Respiratory Medicine (323 citations). Giulia Parisi has collaborated with scholars based in Italy, United States and Switzerland. Frequent co-authors include Antoni Ribas, Blanca Homet Moreno, Jesse M. Zaretsky, Siwen Hu‐Lieskovan, Thomas G. Graeber, Ángel García-Díaz, Davis Y. Torrejon, Daniel Sanghoon Shin, Robert Damoiseaux and Cristina Puig-Saus. Their work appears in journals such as Journal of Translational Medicine, NeuroMolecular Medicine, Cancer Research, European Journal of Public Health and Cell Reports.
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.