Steve Pascolo
Impact in
- Immunology top 1%
- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Molecular Biology top 5%
- RNA Interference and Gene Delivery
- vaccines and immunoinformatics approaches
- Advanced biosensing and bioanalysis techniques
Papers in
- Immunology 61
- Immunotherapy and Immune Responses 43
- Immune Cell Function and Interaction 19
- T-cell and B-cell Immunology 14
- Dermatology 11
- Cutaneous lymphoproliferative disorders research 10
- Co-authors
- Ingmar HoerrBirgit ScheelHans‐Georg RammenseeFrançois A. LemonnierBenjamin WeideJochen ProbstBeatrice PérarnauJean‐Philippe Carralot
- Journals
- European Journal of Immunology (7 papers)OncoImmunology (4 papers)Blood (4 papers)International Immunology (3 papers)Annals of Oncology (3 papers)
- Partner nations
- SwitzerlandGermanyFrance
In The Last Decade
Steve Pascolo
98 papers receiving 4.0k citations
Peers
Comparison fields: 5 of 105
- Immunology 2.4k
- Molecular Biology 2.5k
- Oncology 795
- Infectious Diseases 517
- Virology 127
Countries citing papers authored by Steve Pascolo
This map shows the geographic impact of Steve Pascolo'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 Steve Pascolo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steve Pascolo more than expected).
Fields of papers citing papers by Steve Pascolo
This network shows the impact of papers produced by Steve Pascolo. 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 Steve Pascolo. The network helps show where Steve Pascolo may publish in the future.
Co-authors
The 25 scholars most cited alongside Steve Pascolo, 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 | 5 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 1 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 55 | |
| 8 | 2022 | 9 | |
| 9 | 2021 | 11 | |
| 10 | 2021 | 64 | |
| 11 | 2021 | 3 | |
| 12 | 2021 | 5 | |
| 13 | 2021 | 2 | |
| 14 | 2020 | 23 | |
| 15 | 2018 | 21 | |
| 16 | 2016 | 13 | |
| 17 | 2006 | 14 | |
| 18 | 2005 | 36 | |
| 19 | 2000 | 115 | |
| 20 | 1993 | 8 |
About Steve Pascolo
Steve Pascolo is a scholar working on Immunology, Dermatology, Oncology, Molecular Biology and Biotechnology, having authored 100 papers that have together received 4.1k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (43 papers), RNA Interference and Gene Delivery (38 papers), Immune Cell Function and Interaction (19 papers), CAR-T cell therapy research (17 papers), RNA and protein synthesis mechanisms (14 papers), T-cell and B-cell Immunology (14 papers), Virus-based gene therapy research (10 papers) and Cutaneous lymphoproliferative disorders research (10 papers). The work is most often cited by research in Immunology (2.4k citations), Molecular Biology (2.5k citations), Oncology (795 citations), Infectious Diseases (517 citations) and Virology (127 citations). Steve Pascolo has collaborated with scholars based in Switzerland, Germany and France. Frequent co-authors include Ingmar Hoerr, Birgit Scheel, Hans‐Georg Rammensee, François A. Lemonnier, Benjamin Weide, Jochen Probst, Beatrice Pérarnau, Jean‐Philippe Carralot, Austin Smith and Jan Ure. Their work appears in journals such as European Journal of Immunology, OncoImmunology, Blood, International Immunology and Annals of 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.