Lore Lapeire

1.4k citations
41 papers · 464 · h-index 11

Impact in

    • Cancer Cells and Metastasis
    • CAR-T cell therapy research
    • Cytokine Signaling Pathways and Interactions
    • Cancer, Hypoxia, and Metabolism
    • MicroRNA in disease regulation

Papers in

Lore Lapeire

36 papers receiving 457 citations

Peers

Lore Lapeire
Comparison fields: 5 of 78
  • Oncology 202
  • Cancer Research 96
  • Pulmonary and Respiratory Medicine 130
  • Immunology 61
  • Molecular Biology 135
Replace Woo‐Kyun Bae with:
Woo‐Kyun Bae South Korea
David J. Einstein United States
Z. Ballatore Italy
John Papadopoulos United States
Rafał Stec Poland
S. Garcia France
Daniel Eiger Belgium
Janet Yoon United States
Carlos Alemany United States
Juliane Nees Germany
Lore Lapeire relative to Woo‐Kyun Bae South Korea Woo‐Kyun Bae's profile →
Citations per field
00.5×1.5×1.9×
Woo‐Kyun Bae · 1×
Citations per year

Countries citing papers authored by Lore Lapeire

Since Specialization
Citations

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

Fields of papers citing papers by Lore Lapeire

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014116
2 202174
3 201355
4 201731
5 202321
6 201819
7 202217
8 201715
9 201913
10 201511
11 202310
12 20219
13 20228
14 20207
15
Cellular and molecular mechanisms of cancer cell invasion.
20107
16 20236
17 20135
18 20204
19 20224
20 20204

About Lore Lapeire

Lore Lapeire is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Public Health, Environmental and Occupational Health, Molecular Biology and Sociology and Political Science, having authored 41 papers that have together received 464 indexed citations. Recurring topics across this work include Palliative Care and End-of-Life Issues (11 papers), Sarcoma Diagnosis and Treatment (10 papers), Family Support in Illness (6 papers), Cancer survivorship and care (6 papers), Bone Tumor Diagnosis and Treatments (4 papers), Family and Patient Care in Intensive Care Units (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Oncology (202 citations), Cancer Research (96 citations), Pulmonary and Respiratory Medicine (130 citations), Immunology (61 citations) and Molecular Biology (135 citations). Lore Lapeire has collaborated with scholars based in Belgium, Netherlands and Italy. Frequent co-authors include David Creytens, Olivier De Wever, Gwen Sys, Marc Bracke, Sylvie Rottey, Hannelore Denys, Nele Brusselaers, An Hendrix, Véronique Cocquyt and Geert Braems. Their work appears in journals such as Cancers, Acta Oncologica, Psycho-Oncology, Patient Education and Counseling and Journal of Visualized Experiments.

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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