Philippe Lorimier

9 papers receiving 2.7k citations

Philippe Lorimier's Hit Papers

Integrative genome analyses identify key somatic driver mutations of small-cell lung cancer 2012 · 1.2k citations
1.2k0+5+10Years since publication2505007501000

Peers

Philippe Lorimier
Comparison fields: 5 of 116
  • Oncology 1.1k
  • Cancer Research 467
  • Pulmonary and Respiratory Medicine 829
  • Molecular Biology 1.4k
  • Epidemiology 410
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Citations per year

Countries citing papers authored by Philippe Lorimier

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Lorimier

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1
Integrative genome analyses identify key somatic driver mutations of small-cell lung cancer
Hit paper breakdown →
20121157
2
Frequent and Focal FGFR1 Amplification Associates with Therapeutically Tractable FGFR1 Dependency in Squamous Cell Lung Cancer
Hit paper breakdown →
2010704
3
Mutations in the DDR2 Kinase Gene Identify a Novel Therapeutic Target in Squamous Cell Lung Cancer
Hit paper breakdown →
2011400
4 1998308
5 200559
6 201956
7 200634
8
TUNEL: Improvement and Evaluation of the Method for In Situ Apoptotic Cell Identification
199729
9 20188

About Philippe Lorimier

Philippe Lorimier is a scholar working on Pulmonary and Respiratory Medicine, Immunology, Oncology, Molecular Biology and Cancer Research, having authored 9 papers that have together received 2.8k indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (3 papers), Cell death mechanisms and regulation (2 papers), Phagocytosis and Immune Regulation (2 papers), RNA Interference and Gene Delivery (2 papers), Cancer Genomics and Diagnostics (1 paper), Cancer Cells and Metastasis (1 paper), Lung Cancer Research Studies (1 paper) and Birth, Development, and Health (1 paper). The work is most often cited by research in Oncology (1.1k citations), Cancer Research (467 citations), Pulmonary and Respiratory Medicine (829 citations), Molecular Biology (1.4k citations) and Epidemiology (410 citations). Philippe Lorimier has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Elisabeth M. Brambilla, Sylvie Lantuéjoul, ADRIEN NEGOESCU, Françoise Labat-Moleur, Catherine Robert, Christiane Guillermet, Christian Brambilla, Laure Sabatier, Luc Morat and Jean‐Charles Soria. Their work appears in journals such as Science Translational Medicine, Journal of Histochemistry & Cytochemistry, Nature Genetics, Planta and Cancer Discovery.

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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