Lisa Storer

646 citations
18 papers · 291 · h-index 10

Impact in

  • Genetics top 5%
    • Glioma Diagnosis and Treatment
    • MicroRNA in disease regulation
    • Cancer, Hypoxia, and Metabolism

Papers in

    • Glioma Diagnosis and Treatment 12
    • Cancer therapeutics and mechanisms 2
    • Metabolomics and Mass Spectrometry Studies 2

Lisa Storer

17 papers receiving 288 citations

Peers

Lisa Storer
Comparison fields: 5 of 52
  • Genetics 143
  • Cancer Research 53
  • Neurology 35
  • Oncology 62
  • Molecular Biology 131
Replace Cristina Zahonero with:
Cristina Zahonero Spain
Yoshie Umemura United States
Cláudia C. Faria Portugal
Toni Rose Jue Australia
Leire Pedrosa Spain
Lisa Mayr Austria
Caihong Sun China
Kuniyasu Saigusa Japan
Takahide Nejo Japan
Lorenza Pasqualini Italy
Lisa Storer relative to Cristina Zahonero Spain Cristina Zahonero's profile →
Citations per field
00.5×1.5×2.0×
Cristina Zahonero · 1×
Citations per year

Countries citing papers authored by Lisa Storer

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Storer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 201058
2 201455
3 202029
4 201723
5 201821
6 202120
7 202117
8 201916
9 201915
10 201912
11 20218
12 20177
13 20225
14 20201
15 20171
16 20161
17 20161
18 20201

About Lisa Storer

Lisa Storer is a scholar working on Genetics, Molecular Biology, Cancer Research, Oncology and Surgery, having authored 18 papers that have together received 291 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (12 papers), Cancer, Hypoxia, and Metabolism (3 papers), Cancer therapeutics and mechanisms (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Cannabis and Cannabinoid Research (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Autophagy in Disease and Therapy (2 papers) and Sarcoma Diagnosis and Treatment (1 paper). The work is most often cited by research in Genetics (143 citations), Cancer Research (53 citations), Neurology (35 citations), Oncology (62 citations) and Molecular Biology (131 citations). Lisa Storer has collaborated with scholars based in United Kingdom, United States and Portugal. Frequent co-authors include Richard G. Grundy, Beth Coyle, Ian D. Kerr, Ruman Rahman, Tracey D. Bradshaw, Timothy Ritzmann, Andrey Korshunov, Stefan M. Pfister, Simon Paine and Andrew C. Peet. Their work appears in journals such as Neuro-Oncology, Acta Neuropathologica Communications, Scientific Reports, BioMed Research International and Brain Pathology.

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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