Felicity Newell

31.2k total citations
29 papers, 1.3k citations indexed

About

Felicity Newell is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Felicity Newell has authored 29 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 11 papers in Cancer Research and 7 papers in Oncology. Recurrent topics in Felicity Newell's work include Cancer Genomics and Diagnostics (9 papers), Fibroblast Growth Factor Research (5 papers) and Kruppel-like factors research (4 papers). Felicity Newell is often cited by papers focused on Cancer Genomics and Diagnostics (9 papers), Fibroblast Growth Factor Research (5 papers) and Kruppel-like factors research (4 papers). Felicity Newell collaborates with scholars based in Australia, United Kingdom and United States. Felicity Newell's co-authors include Hans Törnqvist, Martin Wabitsch, Pamela Fischer‐Posovszky, Johannes B. Prins, Jonathan P. Whitehead, Louise J. Hutley, Christopher G. Armstrong, Gisela Schnapp, Matthias Hoffmann and Gopal P. Sapkota and has published in prestigious journals such as Nucleic Acids Research, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Felicity Newell

29 papers receiving 1.3k citations

Peers

Felicity Newell
Riet van der Meer United States
Annika E. Wallberg Sweden
Victoriano Baladrón Spain
Yann-Jang Chen Taiwan
Cornelis F. Calkhoven Netherlands
Douangsone D. Vadysirisack United States
David Vindrieux France
Rive Sarfstein Israel
Qihuang Jin China
Dharmaraj Chinnappan United States
Riet van der Meer United States
Felicity Newell
Citations per year, relative to Felicity Newell Felicity Newell (= 1×) peers Riet van der Meer

Countries citing papers authored by Felicity Newell

Since Specialization
Citations

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

Fields of papers citing papers by Felicity Newell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Felicity Newell

This figure shows the co-authorship network connecting the top 25 collaborators of Felicity Newell. A scholar is included among the top collaborators of Felicity Newell 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 Felicity Newell. Felicity Newell 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.
Brosda, Sandra, Lauren G. Aoude, Vanessa Bonazzi, et al.. (2024). Spatial intra-tumour heterogeneity and treatment-induced genomic evolution in oesophageal adenocarcinoma: implications for prognosis and therapy. Genome Medicine. 16(1). 90–90. 4 indexed citations
2.
Addala, Venkateswar, Felicity Newell, John V. Pearson, et al.. (2023). Computational immunogenomic approaches to predict response to cancer immunotherapies. Nature Reviews Clinical Oncology. 21(1). 28–46. 38 indexed citations
3.
Kondrashova, Olga, Conrad Leonard, Scott Wood, et al.. (2022). Analysis of hereditary cancer gene variant classifications from ClinVar indicates a need for regular reassessment of clinical assertions. Human Mutation. 43(12). 2054–2062. 5 indexed citations
4.
Broit, Natasa, Peter A. Johansson, Sebastian Walpole, et al.. (2021). Meta-Analysis and Systematic Review of the Genomics of Mucosal Melanoma. Molecular Cancer Research. 19(6). 991–1004. 24 indexed citations
5.
Robertson, Susan J., Lisa Orme, Felicity Newell, et al.. (2021). Evaluation of Crizotinib Treatment in a Patient With Unresectable GOPC-ROS1 Fusion Agminated Spitz Nevi. JAMA Dermatology. 157(7). 836–841. 11 indexed citations
6.
Edwards, Jarem, Peter M. Ferguson, Serigne Lo, et al.. (2020). Tumor Mutation Burden and Structural Chromosomal Aberrations Are Not Associated with T-cell Density or Patient Survival in Acral, Mucosal, and Cutaneous Melanomas. Cancer Immunology Research. 8(11). 1346–1353. 14 indexed citations
7.
Newell, Felicity, Stephen H. Kazakoff, Günter Härtel, et al.. (2020). Using whole-genome sequencing data to derive the homologous recombination deficiency scores. npj Breast Cancer. 6(1). 33–33. 17 indexed citations
8.
Colebatch, Andrew J., Peter M. Ferguson, Felicity Newell, et al.. (2019). Molecular Genomic Profiling of Melanocytic Nevi. Journal of Investigative Dermatology. 139(8). 1762–1768. 42 indexed citations
9.
Menzies, Alexander M., Felicity Newell, James S. Wilmott, et al.. (2019). Comprehensive molecular profiling of metastatic melanoma to predict response to monotherapy and combination immunotherapy.. Journal of Clinical Oncology. 37(15_suppl). 9511–9511. 2 indexed citations
10.
Nones, Kátia, Felicity Newell, Olga Kondrashova, et al.. (2019). Detection of actionable variants in various cancer types reveals value of whole-genome sequencing over in-silico whole-exome and hotspot panel sequencing. Annals of Oncology. 30. vii33–vii33. 1 indexed citations
11.
12.
Wood, David, Kátia Nones, Anita L Steptoe, et al.. (2015). Recommendations for Accurate Resolution of Gene and Isoform Allele-Specific Expression in RNA-Seq Data. PLoS ONE. 10(5). e0126911–e0126911. 16 indexed citations
13.
Hogan, James M., Wayne Kelly, & Felicity Newell. (2013). Consensus Sigma-70 Promoter Prediction Using Hadoop. 35–44. 1 indexed citations
14.
Luo, Xiao, Louise J. Hutley, Julie A. Webster, et al.. (2011). Identification of BMP and Activin Membrane-Bound Inhibitor (BAMBI) as a Potent Negative Regulator of Adipogenesis and Modulator of Autocrine/Paracrine Adipogenic Factors. Diabetes. 61(1). 124–136. 61 indexed citations
15.
Hutley, Louise J., Felicity Newell, Yu‐Hee Kim, et al.. (2011). A putative role for endogenous FGF-2 in FGF-1 mediated differentiation of human preadipocytes. Molecular and Cellular Endocrinology. 339(1-2). 165–171. 23 indexed citations
16.
Herzig, Volker, David Wood, Felicity Newell, et al.. (2010). ArachnoServer 2.0, an updated online resource for spider toxin sequences and structures. Nucleic Acids Research. 39(Database). D653–D657. 136 indexed citations
17.
Su, Hua, Jennifer H. Gunter, Stephen Wanyonyi, et al.. (2009). Inhibition of inosine monophosphate dehydrogenase reduces adipogenesis and diet-induced obesity. Biochemical and Biophysical Research Communications. 386(2). 351–355. 12 indexed citations
18.
Widberg, Charlotte, Felicity Newell, Anthony W. Bachmann, et al.. (2008). Fibroblast growth factor receptor 1 is a key regulator of early adipogenic events in human preadipocytes. American Journal of Physiology-Endocrinology and Metabolism. 296(1). E121–E131. 80 indexed citations
19.
Fischer‐Posovszky, Pamela, Felicity Newell, Martin Wabitsch, & Hans Törnqvist. (2008). Human SGBS Cells – a Unique Tool for Studies of Human Fat Cell Biology. Obesity Facts. 1(4). 184–189. 203 indexed citations
20.
Richards, Ayanthi A., Ingrid J. Hickman, Amanda Jones, et al.. (2006). Olanzapine Treatment is Associated with Reduced High Molecular Weight Adiponectin in Serum. Journal of Clinical Psychopharmacology. 26(3). 232–237. 49 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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