G. Rouas

521 citations
12 papers · 264 · h-index 6

Impact in

    • HER2/EGFR in Cancer Research
    • Cancer Immunotherapy and Biomarkers
    • Cancer Treatment and Pharmacology
    • Immunotherapy and Immune Responses
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction

Papers in

    • Cancer Cells and Metastasis 4
    • HER2/EGFR in Cancer Research 3
    • Cancer Immunotherapy and Biomarkers 3
    • Cancer Treatment and Pharmacology 2
    • Radiomics and Machine Learning in Medical Imaging 2

G. Rouas

12 papers receiving 256 citations

Peers

G. Rouas
Comparison fields: 5 of 38
  • Oncology 209
  • Immunology 78
  • Radiology, Nuclear Medicine and Imaging 50
  • Cancer Research 32
  • Molecular Biology 93
Replace Mathilde Skaarup Larsen with:
Mathilde Skaarup Larsen Denmark
Marta Escorihuela Spain
Max F. Madu Netherlands
Jean Pascal Machiels United States
Eleftheria A. Anastasopoulou Greece
Beaunelle de Bruijn Netherlands
Jessica Da Gama Duarte Australia
Moritz Goetz Germany
Nicole Kreuzberg Germany
Lorena Fariñas-Madrid Spain
G. Rouas relative to Mathilde Skaarup Larsen Denmark Mathilde Skaarup Larsen's profile →
Citations per field
00.5×4.5×
Mathilde Skaarup Larsen · 1×
Citations per year

Countries citing papers authored by G. Rouas

Since Specialization
Citations

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

Fields of papers citing papers by G. Rouas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 199988
2 200474
3 200240
4 200026
5 200220
6 20115
7 20085
8 19992
9 20241
10 20221
11 20081
12 20121

About G. Rouas

G. Rouas is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Pulmonary and Respiratory Medicine and Immunology, having authored 12 papers that have together received 264 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (4 papers), HER2/EGFR in Cancer Research (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Cancer Treatment and Pharmacology (2 papers), Immunotherapy and Immune Responses (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers), Cancer Genomics and Diagnostics (1 paper) and Lung Cancer Diagnosis and Treatment (1 paper). The work is most often cited by research in Oncology (209 citations), Immunology (78 citations), Radiology, Nuclear Medicine and Imaging (50 citations), Cancer Research (32 citations) and Molecular Biology (93 citations). G. Rouas has collaborated with scholars based in Belgium, Sweden and Australia. Frequent co-authors include Denis Larsimont, Angelo Di Leo, Martine Piccart, Alain Verhest, David Gancberg, Laurence Lespagnard, Guy Leclercq, Marianne Paesmans, Virginie Durbecq and Christos Sotiriou. Their work appears in journals such as Journal of Clinical Oncology, International Journal of Cancer, Annals of Oncology, Journal of Clinical Pathology and Oncology Reports.

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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