Fraser McBlane

1.2k total citations
17 papers, 852 citations indexed

About

Fraser McBlane is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Fraser McBlane has authored 17 papers receiving a total of 852 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 6 papers in Genetics and 6 papers in Immunology. Recurrent topics in Fraser McBlane's work include Virus-based gene therapy research (5 papers), T-cell and B-cell Immunology (5 papers) and DNA Repair Mechanisms (4 papers). Fraser McBlane is often cited by papers focused on Virus-based gene therapy research (5 papers), T-cell and B-cell Immunology (5 papers) and DNA Repair Mechanisms (4 papers). Fraser McBlane collaborates with scholars based in United States, Switzerland and Italy. Fraser McBlane's co-authors include Joan Boyes, Ursula Grazini, Corinne Démollière, Yosho Fukita, Heinz Jacobs, Klaus Rajewsky, Giovanni Pacchiana, Marco Cirò, Micaela Quarto and Kristian Helin and has published in prestigious journals such as Nucleic Acids Research, Immunity and Molecular Cell.

In The Last Decade

Fraser McBlane

17 papers receiving 840 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fraser McBlane United States 12 600 309 146 121 77 17 852
Hirotaka Nakahashi Japan 8 733 1.2× 228 0.7× 106 0.7× 116 1.0× 52 0.7× 20 952
Paola Corbella Italy 12 540 0.9× 613 2.0× 182 1.2× 225 1.9× 43 0.6× 16 1.2k
Senthilkumar Ramamoorthy Germany 14 471 0.8× 215 0.7× 89 0.6× 66 0.5× 66 0.9× 26 705
Toru Ikeda Japan 6 404 0.7× 322 1.0× 102 0.7× 68 0.6× 106 1.4× 12 794
Jeongheon Yoon United States 14 274 0.5× 426 1.4× 274 1.9× 124 1.0× 59 0.8× 19 776
Amro Shehabeldin Canada 7 639 1.1× 391 1.3× 175 1.2× 129 1.1× 43 0.6× 8 1.1k
Nabeel R. Yaseen United States 18 879 1.5× 165 0.5× 158 1.1× 72 0.6× 181 2.4× 34 1.1k
Cosette Rebouissou France 15 300 0.5× 190 0.6× 187 1.3× 98 0.8× 107 1.4× 21 581
Leng-Siew Yeap China 11 842 1.4× 270 0.9× 135 0.9× 109 0.9× 21 0.3× 16 1.1k
Andre Stanlie Japan 15 876 1.5× 247 0.8× 311 2.1× 103 0.9× 31 0.4× 17 1.0k

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-authorship network of co-authors of Fraser McBlane

This figure shows the co-authorship network connecting the top 25 collaborators of Fraser McBlane. A scholar is included among the top collaborators of Fraser McBlane based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fraser McBlane. Fraser McBlane is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

17 of 17 papers shown
1.
Vono, Maria, Tony del Rio, Philip Jarvis, et al.. (2025). Impact of pre-existing immunity on safety and biodistribution of a single AAV9 vectorintrathecal injection in cynomolgus monkeys. Molecular Therapy — Methods & Clinical Development. 33(4). 101602–101602. 1 indexed citations
2.
Webster, Christopher P, Eli Harriss, Fraser McBlane, et al.. (2024). A systematic review of immunosuppressive protocols used in AAV gene therapy for monogenic disorders. Molecular Therapy. 32(10). 3220–3259. 24 indexed citations
3.
Braun, Manuela, Claudia Lange, Philipp Schatz, et al.. (2024). Preexisting antibody assays for gene therapy: Considerations on patient selection cutoffs and companion diagnostic requirements. Molecular Therapy — Methods & Clinical Development. 32(1). 101217–101217. 11 indexed citations
4.
Yang, Tong‐Yuan, Manuela Braun, Fraser McBlane, et al.. (2022). Immunogenicity assessment of AAV-based gene therapies: An IQ consortium industry white paper. Molecular Therapy — Methods & Clinical Development. 26. 471–494. 48 indexed citations
5.
Chaudhury, Anwesha, Andrew M. Stein, Stephan A. Grupp, et al.. (2021). Abstract 509: Conversion of cellular kinetic data for chimeric antigen receptor T-cell therapy (CAR-T) into interpretable units. Cancer Research. 81(13_Supplement). 509–509. 2 indexed citations
6.
McBlane, Fraser, et al.. (2019). A cell-based immunogenicity assay to detect antibodies against chimeric antigen receptor expressed by tisagenlecleucel. Journal of Immunological Methods. 476. 112692–112692. 11 indexed citations
7.
Merelli, Ivan, Alessandro Guffanti, Marco Fabbri, et al.. (2010). RSSsite: a reference database and prediction tool for the identification of cryptic Recombination Signal Sequences in human and murine genomes. Nucleic Acids Research. 38(Web Server). W262–W267. 55 indexed citations
8.
Grazini, Ursula, Federica Zanardi, Elisabetta Citterio, et al.. (2010). The RING Domain of RAG1 Ubiquitylates Histone H3: A Novel Activity in Chromatin-Mediated Regulation of V(D)J Joining. Molecular Cell. 37(2). 282–293. 39 indexed citations
9.
Cirò, Marco, Elena Prosperini, Micaela Quarto, et al.. (2009). ATAD2 Is a Novel Cofactor for MYC, Overexpressed and Amplified in Aggressive Tumors. Cancer Research. 69(21). 8491–8498. 185 indexed citations
10.
Papait, Roberto, Christian Pistore, Ursula Grazini, et al.. (2008). The PHD Domain of Np95 (mUHRF1) Is Involved in Large-Scale Reorganization of Pericentromeric Heterochromatin. Molecular Biology of the Cell. 19(8). 3554–3563. 56 indexed citations
11.
Fagagna, Fabrizio d’Adda di & Fraser McBlane. (2007). Advances in Molecular Oncology. Advances in experimental medicine and biology. 4 indexed citations
12.
O’Neill, John P., Terri Messier, Vernon E. Walker, et al.. (2006). V(D)J Recombinase-Mediated Processing of Coding Junctions at Cryptic Recombination Signal Sequences in Peripheral T Cells during Human Development. The Journal of Immunology. 177(8). 5393–5404. 12 indexed citations
13.
Marculescu, Rodrig, Katrina Vanura, Bertrand Montpellier, et al.. (2006). Recombinase, chromosomal translocations and lymphoid neoplasia: Targeting mistakes and repair failures. DNA repair. 5(9-10). 1246–1258. 66 indexed citations
14.
Bruno, Ludovica, Reinhard Hoffmann, Fraser McBlane, et al.. (2003). Molecular Signatures of Self-Renewal, Differentiation, and Lineage Choice in Multipotential Hemopoietic Progenitor Cells In Vitro. Molecular and Cellular Biology. 24(2). 741–756. 81 indexed citations
15.
McBlane, Fraser & Joan Boyes. (2000). Stimulation of V(D)J recombination by histone acetylation. Current Biology. 10(8). 483–486. 100 indexed citations
16.
Fukita, Yosho, et al.. (2000). DNA Double-Strand Breaks in Immunoglobulin Genes Undergoing Somatic Hypermutation. Immunity. 13(5). 589–597. 155 indexed citations
17.
McBlane, Fraser & B.J. Kilbey. (1985). Further characterisation of processes removing EMS premutational lesions in yeast (S. cerevisiae). Mutation Research Letters. 143(1-2). 35–38. 2 indexed citations

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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