Elisabeth Llonch

826 citations
2 papers · 651 · 1 hit paper · h-index 2

Impact in

  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research
    • HER2/EGFR in Cancer Research
    • Cancer-related Molecular Pathways

Papers in

    • PI3K/AKT/mTOR signaling in cancer 1
    • TGF-β signaling in diseases 1
    • Cytokine Signaling Pathways and Interactions 1
    • HER2/EGFR in Cancer Research 1

Elisabeth Llonch

2 papers receiving 639 citations

Elisabeth Llonch's Hit Papers

NVP-BEZ235, a Dual PI3K/mTOR Inhibitor, Prevents PI3K Signaling and Inhibits the Growth of Cancer Cells with Activating PI3K Mutations 2008 · 626 citations
6260+6+12Years since publication200400600

Peers

Elisabeth Llonch
Comparison fields: 5 of 62
  • Genetics 94
  • Oncology 214
  • Molecular Biology 509
  • Cancer Research 93
  • Pathology and Forensic Medicine 106
Replace B. Markman with:
B. Markman Australia
Michel Maira Switzerland
María Luisa Botero Spain
Raul Ayala United States
Lucia Trandafir Switzerland
Rebecca L. Lynch United States
Josep Lluís Parra United Kingdom
Adekemi Taylor United States
Lorina Dudkin United States
P.N. Munster United States
Elisabeth Llonch relative to B. Markman Australia B. Markman's profile →
Citations per field
00.5×1.5×
B. Markman · 1×
Citations per year

Countries citing papers authored by Elisabeth Llonch

Since Specialization
Citations

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

Fields of papers citing papers by Elisabeth Llonch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Elisabeth Llonch, 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 Elisabeth Llonch Line = papers co-authored together Elisabeth Llonch links everyone, so they are left out of the graph.

All Works

2 of 2 papers shown

About Elisabeth Llonch

Elisabeth Llonch is a scholar working on Molecular Biology, Oncology, Genetics, Endocrinology, Diabetes and Metabolism and Infectious Diseases, having authored 2 papers that have together received 651 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Chronic Lymphocytic Leukemia Research (1 paper), TGF-β signaling in diseases (1 paper), Growth Hormone and Insulin-like Growth Factors (1 paper) and HER2/EGFR in Cancer Research (1 paper). The work is most often cited by research in Genetics (94 citations), Oncology (214 citations), Molecular Biology (509 citations), Cancer Research (93 citations) and Pathology and Forensic Medicine (106 citations). Elisabeth Llonch has collaborated with scholars based in Switzerland and Spain. Frequent co-authors include Marta Guzmán, Ben Markman, María Luisa Botero, Pieter J.A. Eichhorn, Joaquı́n Arribas, José Baselga, Carlos Garcı́a-Echeverrı́a, Josep Lluís Parra, Vanesa Valero and Francesco Atzori. Their work appears in journals such as Cancer Research and EMBO Molecular Medicine.

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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