Felicity Newell

31.2k citations
29 papers · 1.3k indexed · h-index 16
    • Fibroblast Growth Factor Research 5
    • Kruppel-like factors research 4
    • Epigenetics and DNA Methylation 3
    • Melanoma and MAPK Pathways 3
  • Physiology top 10%
    • Cancer Genomics and Diagnostics 9
  • Genetics top 10%
    • Genomics and Rare Diseases 3
    • Cancer Immunotherapy and Biomarkers 3
    • Cutaneous Melanoma Detection and Management 3

Felicity Newell

29 papers receiving 1.3k citations

Peers

Felicity Newell
Comparison fields: 5 of 100
  • Molecular Biology 795
  • Physiology 258
  • Cancer Research 145
  • Genetics 243
  • Oncology 213
Replace Victoriano Baladrón with:
Victoriano Baladrón Spain
Qihuang Jin China
Riet van der Meer United States
Yetiş Gültekin United States
Cornelis F. Calkhoven Netherlands
Barry S. Rosen United States
Xuan Qu United States
Per Antonson Sweden
Tetsuya Nishimura Japan
Ke Guo China
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Citations per field
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Citations per year

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

The 25 scholars most cited alongside Felicity Newell, 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 Felicity Newell Line = papers co-authored together Felicity Newell links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20244
2 202338
3 20225
4 202124
5 202111
6 202014
7 202017
8 201942
9 20192
10 20191
11 201842
12 201516
13 20131
14 201161
15 201123
16 2010136
17 200912
18 200880
19 2008203
20 200649

About Felicity Newell

Felicity Newell is a scholar working on Cancer Research, Information Systems and Management and Molecular Biology, having authored 29 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (9 papers), Fibroblast Growth Factor Research (5 papers), Kruppel-like factors research (4 papers), Genomics and Rare Diseases (3 papers), Epigenetics and DNA Methylation (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Melanoma and MAPK Pathways (3 papers) and Cutaneous Melanoma Detection and Management (3 papers). The work is most often cited by research in Molecular Biology (795 citations), Physiology (258 citations) and Cancer Research (145 citations). Felicity Newell has collaborated with scholars based in Australia, United Kingdom and United States. Frequent 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. Their work appears in journals such as Nucleic Acids Research, Journal of Clinical Oncology and PLoS ONE.

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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