Gina B. Scott

905 total citations
27 papers, 684 citations indexed

About

Gina B. Scott is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Gina B. Scott has authored 27 papers receiving a total of 684 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Oncology and 9 papers in Immunology. Recurrent topics in Gina B. Scott's work include Virus-based gene therapy research (7 papers), CAR-T cell therapy research (7 papers) and Immune Cell Function and Interaction (6 papers). Gina B. Scott is often cited by papers focused on Virus-based gene therapy research (7 papers), CAR-T cell therapy research (7 papers) and Immune Cell Function and Interaction (6 papers). Gina B. Scott collaborates with scholars based in United Kingdom, United States and Italy. Gina B. Scott's co-authors include Stephen A. Rose, H.C. Ardley, Philip A. Robinson, Alexander F. Markham, Philip A. Robinson, Christopher Parrish, Gordon Cook, Alan Melcher, Fiona Flett and Colin P. Smith and has published in prestigious journals such as Journal of Biological Chemistry, Blood and PLoS ONE.

In The Last Decade

Gina B. Scott

27 papers receiving 676 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gina B. Scott United Kingdom 14 380 238 159 142 101 27 684
Roland Meier Switzerland 15 506 1.3× 293 1.2× 164 1.0× 62 0.4× 166 1.6× 26 871
Annika Jalava Finland 12 367 1.0× 115 0.5× 146 0.9× 46 0.3× 51 0.5× 13 582
Maureen Mee United Kingdom 11 412 1.1× 108 0.5× 100 0.6× 73 0.5× 115 1.1× 14 678
M C S Armelin Brazil 12 553 1.5× 181 0.8× 111 0.7× 147 1.0× 58 0.6× 23 800
Matthew D. Smith United States 17 579 1.5× 292 1.2× 127 0.8× 96 0.7× 31 0.3× 25 845
Tadashi Anan Japan 11 555 1.5× 236 1.0× 46 0.3× 57 0.4× 46 0.5× 32 744
M D Erisman United States 10 435 1.1× 388 1.6× 54 0.3× 61 0.4× 95 0.9× 14 836
Irina Lassot France 15 1.3k 3.4× 296 1.2× 191 1.2× 97 0.7× 38 0.4× 19 1.5k
Arnab Nayak Germany 14 529 1.4× 149 0.6× 165 1.0× 46 0.3× 45 0.4× 24 724
Michael C. Blake United States 8 758 2.0× 339 1.4× 90 0.6× 229 1.6× 20 0.2× 8 995

Countries citing papers authored by Gina B. Scott

Since Specialization
Citations

This map shows the geographic impact of Gina B. Scott'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 Gina B. Scott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gina B. Scott more than expected).

Fields of papers citing papers by Gina B. Scott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gina B. Scott. 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 Gina B. Scott. The network helps show where Gina B. Scott may publish in the future.

Co-authorship network of co-authors of Gina B. Scott

This figure shows the co-authorship network connecting the top 25 collaborators of Gina B. Scott. A scholar is included among the top collaborators of Gina B. Scott 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 Gina B. Scott. Gina B. Scott is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Holmes, Matthew, Gina B. Scott, Victoria A. Jennings, et al.. (2023). Efficacy of coxsackievirus A21 against drug-resistant neoplastic B cells. Molecular Therapy — Oncolytics. 29. 17–29. 4 indexed citations
2.
Migneco, G, Gina B. Scott, Jenny Down, et al.. (2021). Reovirus-induced cell-mediated immunity for the treatment of multiple myeloma within the resistant bone marrow niche. Journal for ImmunoTherapy of Cancer. 9(3). e001803–e001803. 14 indexed citations
3.
Scott, Gina B., et al.. (2015). Downregulation of myeloma-induced ICOS-L and regulatory T cell generation by lenalidomide and dexamethasone therapy. Cellular Immunology. 297(1). 1–9. 22 indexed citations
4.
Parrish, Christopher, Gina B. Scott, G Migneco, et al.. (2015). Oncolytic reovirus enhances rituximab-mediated antibody-dependent cellular cytotoxicity against chronic lymphocytic leukaemia. Leukemia. 29(9). 1799–1810. 32 indexed citations
5.
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7.
McClurg, Urszula L., et al.. (2014). Epithelial cell ADAM17 activation by Helicobacter pylori: role of ADAM17 C-terminus and Threonine-735 phosphorylation. Microbes and Infection. 17(3). 205–214. 13 indexed citations
8.
El‐Jawhari, Jehan J., Yasser M. El‐Sherbiny, Gina B. Scott, et al.. (2013). Blocking oncogenic RAS enhances tumour cell surface MHC class I expression but does not alter susceptibility to cytotoxic lymphocytes. Molecular Immunology. 58(2). 160–168. 44 indexed citations
9.
Parrish, Christopher, Gina B. Scott, & Gordon Cook. (2013). Immune Dysfunction in Multiple Myeloma. 2(1). 49–59. 5 indexed citations
10.
Feyler, Sylvia, Gina B. Scott, Christopher Parrish, et al.. (2012). Tumour Cell Generation of Inducible Regulatory T-Cells in Multiple Myeloma Is Contact-Dependent and Antigen-Presenting Cell-Independent. PLoS ONE. 7(5). e35981–e35981. 63 indexed citations
11.
Qiao, Boling, Gina B. Scott, Faye Elliott, et al.. (2011). Functional assays to determine the significance of two common XPC 3'UTR variants found in bladder cancer patients. BMC Medical Genetics. 12(1). 84–84. 3 indexed citations
12.
Scott, Gina B., Erika A. de Wynter, & Graham P. Cook. (2010). Detecting variable (V), diversity (D) and joining (J) gene segment recombination using a two-colour fluorescence system. Mobile DNA. 1(1). 9–9. 3 indexed citations
13.
Ardley, H.C., et al.. (2004). UCH‐L1 aggresome formation in response to proteasome impairment indicates a role in inclusion formation in Parkinson's disease. Journal of Neurochemistry. 90(2). 379–391. 93 indexed citations
14.
Ardley, H.C., et al.. (2003). Inhibition of Proteasomal Activity Causes Inclusion Formation in Neuronal and Non-Neuronal Cells Overexpressing Parkin. Molecular Biology of the Cell. 14(11). 4541–4556. 98 indexed citations
15.
Ardley, H.C., et al.. (2003). Human homologue of ariadne promotes the ubiquitylation of translation initiation factor 4E homologous protein, 4EHP. FEBS Letters. 554(3). 501–504. 41 indexed citations
16.
Suga, Yasushi, Meral J. Arin, Gina B. Scott, et al.. (2000). Hot spot mutations in keratin 2e suggest a correlation between genotype and phenotype in patients with ichthyosis bullosa of Siemens. Experimental Dermatology. 9(1). 11–15. 6 indexed citations
17.
Fronza, Gilberto, Alberto Inga, Paola Monti, et al.. (2000). The yeast p53 functional assay: a new tool for molecular epidemiology. Hopes and facts. Mutation Research/Reviews in Mutation Research. 462(2-3). 293–301. 24 indexed citations
18.
Monti, Paola, Alberto Inga, Gina B. Scott, et al.. (1999). 5-Methylcytosine at HpaII sites in p53 is not hypermutable after UVC irradiation. Mutation research. Fundamental and molecular mechanisms of mutagenesis. 431(1). 93–103. 7 indexed citations
19.
Kelly, Jack, Alberto Inga, Prasad Dande, et al.. (1999). Relationship between DNA Methylation and Mutational Patterns Induced by a Sequence Selective Minor Groove Methylating Agent. Journal of Biological Chemistry. 274(26). 18327–18334. 37 indexed citations
20.
Flett, Fiona, et al.. (1994). Functional evidence that the principal DNA replication origin of the Streptomyces coelicolor chromosome is close to the dnaA-gyrB region. Journal of Bacteriology. 176(16). 5123–5125. 55 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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