Fraser McBlane
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
-
- DNA Repair Mechanisms
- Genomics and Chromatin Dynamics
- Protein Degradation and Inhibitors
- Epigenetics and DNA Methylation
- Ubiquitin and proteasome pathways
- Cancer-related gene regulation
Papers in
-
- DNA Repair Mechanisms 4
- Protein Degradation and Inhibitors 2
- Ubiquitin and proteasome pathways 2
- Genetics 6
- Virus-based gene therapy research 5
- Co-authors
- Joan Boyes (1 shared paper)Ursula Grazini (4 shared papers)Heinz Jacobs (1 shared paper)Yosho Fukita (1 shared paper)Corinne Démollière (1 shared paper)Klaus Rajewsky (1 shared paper)Giovanni Pacchiana (1 shared paper)Julian Walfridsson (1 shared paper)
- Journals
- Molecular Therapy — Methods & Clinical Development (3 papers)Cancer Research (2 papers)Molecular Therapy (1 paper)Molecular Biology of the Cell (1 paper)The Journal of Immunology (1 paper)
- Partner nations
- United StatesSwitzerlandItaly
In The Last Decade
Fraser McBlane
17 papers receiving 840 citations
Peers
Comparison fields: 5 of 67
- Immunology 309
- Molecular Biology 600
- Hematology 77
- Oncology 146
- Genetics 121
Countries citing papers authored by Fraser McBlane
This map shows the geographic impact of Fraser McBlane'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 Fraser McBlane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fraser McBlane more than expected).
Fields of papers citing papers by Fraser McBlane
This network shows the impact of papers produced by Fraser McBlane. 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 Fraser McBlane. The network helps show where Fraser McBlane may publish in the future.
Co-authors
The 25 scholars most cited alongside Fraser McBlane, 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 | 2009 | 185 | |
| 2 | 2000 | 155 | |
| 3 | 2000 | 100 | |
| 4 | 2003 | 81 | |
| 5 | 2006 | 66 | |
| 6 | 2008 | 56 | |
| 7 | 2010 | 55 | |
| 8 | 2022 | 48 | |
| 9 | 2010 | 39 | |
| 10 | 2024 | 24 | |
| 11 | 2006 | 12 | |
| 12 | 2024 | 11 | |
| 13 | 2019 | 11 | |
| 14 | 2007 | 4 | |
| 15 | 1985 | 2 | |
| 16 | 2021 | 2 | |
| 17 | 2025 | 1 |
About Fraser McBlane
Fraser McBlane is a scholar working on Molecular Biology, Genetics, Immunology, Oncology and Epidemiology, having authored 17 papers that have together received 852 indexed citations. Recurring topics across this work include Virus-based gene therapy research (5 papers), T-cell and B-cell Immunology (5 papers), CAR-T cell therapy research (4 papers), DNA Repair Mechanisms (4 papers), Protein Degradation and Inhibitors (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), Immune Cell Function and Interaction (2 papers) and Ubiquitin and proteasome pathways (2 papers). The work is most often cited by research in Immunology (309 citations), Molecular Biology (600 citations), Hematology (77 citations), Oncology (146 citations) and Genetics (121 citations). Fraser McBlane has collaborated with scholars based in United States, Switzerland and Italy. Frequent co-authors include Joan Boyes, Ursula Grazini, Heinz Jacobs, Yosho Fukita, Corinne Démollière, Klaus Rajewsky, Giovanni Pacchiana, Julian Walfridsson, Jesper Frank Christensen and Elena Prosperini. Their work appears in journals such as Molecular Therapy — Methods & Clinical Development, Cancer Research, Molecular Therapy, Molecular Biology of the Cell and The Journal of Immunology.
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.