Philippe Huget

512 citations
6 papers · 397 · h-index 6

Impact in

  • Oncology top 10%
    • Cytokine Signaling Pathways and Interactions
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers
    • Chemokine receptors and signaling
    • HER2/EGFR in Cancer Research
    • Cancer Genomics and Diagnostics

Papers in

    • Lung Cancer Research Studies 1
    • Cytokine Signaling Pathways and Interactions 1
    • Cancer Cells and Metastasis 1
    • Chemokine receptors and signaling 1
    • Cancer Genomics and Diagnostics 1
    • Breast Cancer Treatment Studies 1

Philippe Huget

6 papers receiving 393 citations

Peers

Philippe Huget
Comparison fields: 5 of 70
  • Oncology 208
  • Cancer Research 63
  • Immunology 84
  • Behavioral Neuroscience 7
  • Biological Psychiatry 4
Replace Antoni Czupryna with:
Antoni Czupryna Poland
Yunhua Lin China
Nick B. Tsavaris Greece
Heladio P. Ibarguen United States
ML Patchen United States
Dong‐Hyeon Suh South Korea
Linsen Shi China
Tomoko Toga Japan
Christine Mall United States
Yuji Nojima Japan
Philippe Huget relative to Antoni Czupryna Poland Antoni Czupryna's profile →
Citations per field
00.5×
Antoni Czupryna · 1×
Citations per year

Countries citing papers authored by Philippe Huget

Since Specialization
Citations

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

Fields of papers citing papers by Philippe Huget

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2002341
2 201425
3 201613
4 20187
5 20076
6 20135

About Philippe Huget

Philippe Huget is a scholar working on Oncology, Cancer Research, Surgery, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 6 papers that have together received 397 indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (1 paper), Lung Cancer Research Studies (1 paper), Cytokine Signaling Pathways and Interactions (1 paper), Cancer Cells and Metastasis (1 paper), Cancer Genomics and Diagnostics (1 paper), Breast Cancer Treatment Studies (1 paper), Prostate Cancer Diagnosis and Treatment (1 paper) and Chemokine receptors and signaling (1 paper). The work is most often cited by research in Oncology (208 citations), Cancer Research (63 citations), Immunology (84 citations), Behavioral Neuroscience (7 citations) and Biological Psychiatry (4 citations). Philippe Huget has collaborated with scholars based in Belgium and Netherlands. Frequent co-authors include Luc Dirix, Peter Vermeulen, Peter A. van Dam, Ina Benoy, Roberto Salgado, Sara Junius, Eric Van Marck, Steven Van Laere, Paul Meijnders and Piet Dirix. Their work appears in journals such as Cancer Letters, Acta Oncologica, International Journal of Cancer, Expert Opinion on Biological Therapy and Radiotherapy and Oncology.

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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