Fraser McBlane

1.3k citations
18 papers · 971 · h-index 13

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • DNA Repair Mechanisms
    • Genomics and Chromatin Dynamics
    • Protein Degradation and Inhibitors
    • Epigenetics and DNA Methylation
    • Ubiquitin and proteasome pathways

Papers in

    • DNA Repair Mechanisms 5
    • Ubiquitin and proteasome pathways 2
    • Protein Degradation and Inhibitors 2
    • T-cell and B-cell Immunology 6
    • Immune Cell Function and Interaction 2
    • Immunodeficiency and Autoimmune Disorders 2

Fraser McBlane

18 papers receiving 956 citations

Peers

Fraser McBlane
Comparison fields: 5 of 64
  • Immunology 352
  • Molecular Biology 638
  • Hematology 82
  • Oncology 151
  • Genetics 130
Replace Hirotaka Nakahashi with:
Hirotaka Nakahashi Japan
Paola Corbella Italy
Shannon Burke United Kingdom
Irina Kondratenko Russia
Paola Porcedda Italy
Laurel A. Eckhardt United States
Kevin B. Leslie Canada
A. Miyajima Japan
Andreas Ehlich Germany
Gabriele Beck‐Engeser United States
Fraser McBlane relative to Hirotaka Nakahashi Japan Hirotaka Nakahashi's profile →
Citations per field
00.5×10×13×
Hirotaka Nakahashi · 1×
Citations per year

Countries citing papers authored by Fraser McBlane

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Fraser McBlane Line = papers co-authored together Fraser McBlane links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2009194
2 2000160
3 2000106
4 200385
5 200672
6 200364
7 201058
8 200856
9 202255
10 201043
11 202431
12 200613
13 202413
14 201911
15 20074
16 20213
17 19852
18 20251

About Fraser McBlane

Fraser McBlane is a scholar working on Molecular Biology, Immunology, Genetics, Oncology and Epidemiology, having authored 18 papers that have together received 971 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), DNA Repair Mechanisms (5 papers), Virus-based gene therapy research (5 papers), CAR-T cell therapy research (4 papers), Ubiquitin and proteasome pathways (2 papers), Protein Degradation and Inhibitors (2 papers), Immune Cell Function and Interaction (2 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). The work is most often cited by research in Immunology (352 citations), Molecular Biology (638 citations), Hematology (82 citations), Oncology (151 citations) and Genetics (130 citations). Fraser McBlane has collaborated with scholars based in United States, Italy and Switzerland. Frequent co-authors include Joan Boyes, Ursula Grazini, Yosho Fukita, Klaus Rajewsky, Corinne Démollière, Heinz Jacobs, Jesper Frank Christensen, Marco Cirò, Giovanni Pacchiana and Micaela Quarto. Their work appears in journals such as Molecular Therapy — Methods & Clinical Development, Cancer Research, Molecular Therapy, Advances in experimental medicine and biology 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.

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