Hannah Webber

950 total citations
10 papers, 242 citations indexed

About

Hannah Webber is a scholar working on Neurology, Cancer Research and Molecular Biology. According to data from OpenAlex, Hannah Webber has authored 10 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Neurology, 5 papers in Cancer Research and 4 papers in Molecular Biology. Recurrent topics in Hannah Webber's work include Neuroblastoma Research and Treatments (10 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Cancer therapeutics and mechanisms (3 papers). Hannah Webber is often cited by papers focused on Neuroblastoma Research and Treatments (10 papers), Cancer, Hypoxia, and Metabolism (5 papers) and Cancer therapeutics and mechanisms (3 papers). Hannah Webber collaborates with scholars based in United Kingdom, Australia and United States. Hannah Webber's co-authors include Louis Chesler, Albert Hallsworth, Kevin Petrie, Sharon A. Egan, Gavin Bendle, Francis Mussai, Stuart Hunter, Yordan Sbirkov, Jonathan Fisher and Kate Wheeler and has published in prestigious journals such as PLoS ONE, Cancer Research and Radiology.

In The Last Decade

Hannah Webber

8 papers receiving 240 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Hannah Webber United Kingdom	6	119	98	78	65	49	10	242
Barbara Martins Da Costa United Kingdom	3	90 0.8×	33 0.3×	36 0.5×	100 1.5×	66 1.3×	5	198
Sheng‐Yan Huang China	11	245 2.1×	13 0.1×	123 1.6×	53 0.8×	44 0.9×	21	339
Hassan Chaachouay Switzerland	6	214 1.8×	21 0.2×	92 1.2×	53 0.8×	14 0.3×	6	369
Xinrui Rao China	11	159 1.3×	15 0.2×	67 0.9×	86 1.3×	59 1.2×	19	270
Junyi Yin China	7	147 1.2×	28 0.3×	90 1.2×	50 0.8×	58 1.2×	8	254
Nicolas Rabas United Kingdom	4	166 1.4×	7 0.1×	108 1.4×	65 1.0×	68 1.4×	5	271
Paola Manni Italy	7	119 1.0×	20 0.2×	63 0.8×	63 1.0×	50 1.0×	9	199
Emma Hajaj Israel	8	97 0.8×	6 0.1×	84 1.1×	126 1.9×	84 1.7×	8	242
Ana Miar Spain	7	231 1.9×	13 0.1×	86 1.1×	93 1.4×	90 1.8×	12	346

Countries citing papers authored by Hannah Webber

Since Specialization

Citations

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

Fields of papers citing papers by Hannah Webber

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hannah Webber. 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 Hannah Webber. The network helps show where Hannah Webber may publish in the future.

Co-authorship network of co-authors of Hannah Webber

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

All Works

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10 of 10 papers shown

Almeida, Gilberto S., Philippa King, Albert Hallsworth, et al.. (2025). Response of GEM models of neuroblastoma to cabozantinib assessed by multiparametric magnetic resonance imaging. Neoplasia. 65. 101170–101170.

Huynh, Tony, Jayne Murray, Claudia L. Flemming, et al.. (2019). CCI52 sensitizes tumors to 6-mercaptopurine and inhibits MYCN-amplified tumor growth. Biochemical Pharmacology. 172. 113770–113770. 4 indexed citations

Almeida, Gilberto S., Rafał Panek, Albert Hallsworth, et al.. (2017). Pre-clinical imaging of transgenic mouse models of neuroblastoma using a dedicated 3-element solenoid coil on a clinical 3T platform. British Journal of Cancer. 117(6). 791–800. 6 indexed citations

Yogev, Orli, Karen Barker, Gilberto S. Almeida, et al.. (2016). p53 Loss in MYC-Driven Neuroblastoma Leads to Metabolic Adaptations Supporting Radioresistance. Cancer Research. 76(10). 3025–3035. 32 indexed citations

Evageliou, Nicholas F., Michelle Haber, Annette Vu, et al.. (2016). Polyamine Antagonist Therapies Inhibit Neuroblastoma Initiation and Progression. Clinical Cancer Research. 22(17). 4391–4404. 64 indexed citations

Mussai, Francis, Sharon A. Egan, Stuart Hunter, et al.. (2015). Neuroblastoma Arginase Activity Creates an Immunosuppressive Microenvironment That Impairs Autologous and Engineered Immunity. Cancer Research. 75(15). 3043–3053. 84 indexed citations

Haber, Michelle, Jayne Murray, Hannah Webber, et al.. (2013). Abstract 2759: Anticancer compound curaxin CBL0137, that simultaneously suppresses NF-κB and activates p53, is highly effective in two independent mouse models of neuroblastoma.. Cancer Research. 73(8_Supplement). 2759–2759. 1 indexed citations

Jamin, Yann, Elizabeth R. Tucker, Evon Poon, et al.. (2012). Evaluation of Clinically Translatable MR Imaging Biomarkers of Therapeutic Response in the TH-MYCNTransgenic Mouse Model of Neuroblastoma. Radiology. 266(1). 130–140. 24 indexed citations

Terrile, Marta, Kenneth Bryan, Albert Hallsworth, et al.. (2011). miRNA Expression Profiling of the Murine TH-MYCN Neuroblastoma Model Reveals Similarities with Human Tumors and Identifies Novel Candidate MiRNAs. PLoS ONE. 6(12). e28356–e28356. 27 indexed citations

10.

Barker, Karen, Hannah Webber, Yann Jamin, et al.. (2011). Abstract 4345: AZD8055, a combined TORC1/TORC2 inhibitor regulates Mycn protein expression and prevents neuroblastoma growth in vitro and in vivo. Cancer Research. 71(8_Supplement). 4345–4345.

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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