G. Rouas

521 total citations
12 papers, 264 citations indexed

About

G. Rouas is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, G. Rouas has authored 12 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Oncology, 4 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Molecular Biology. Recurrent topics in G. Rouas's work include Cancer Cells and Metastasis (4 papers), HER2/EGFR in Cancer Research (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). G. Rouas is often cited by papers focused on Cancer Cells and Metastasis (4 papers), HER2/EGFR in Cancer Research (3 papers) and Cancer Immunotherapy and Biomarkers (3 papers). G. Rouas collaborates with scholars based in Belgium, Sweden and Australia. G. Rouas's co-authors include Denis Larsimont, Martine Piccart, Angelo Di Leo, Alain Verhest, David Gancberg, Guy Leclercq, Laurence Lespagnard, Marianne Paesmans, Virginie Durbecq and Christos Sotiriou and has published in prestigious journals such as Journal of Clinical Oncology, Annals of Oncology and International Journal of Cancer.

In The Last Decade

G. Rouas

12 papers receiving 256 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
G. Rouas Belgium 6 209 93 78 50 33 12 264
Mathilde Skaarup Larsen Denmark 8 94 0.4× 61 0.7× 37 0.5× 11 0.2× 19 0.6× 11 197
Lorena Fariñas-Madrid Spain 8 205 1.0× 91 1.0× 40 0.5× 10 0.2× 33 1.0× 24 280
Max F. Madu Netherlands 9 200 1.0× 97 1.0× 61 0.8× 7 0.1× 21 0.6× 21 256
Nicole Kreuzberg Germany 6 149 0.7× 175 1.9× 21 0.3× 8 0.2× 28 0.8× 12 291
Alexandra A. Schonnesen United States 5 145 0.7× 131 1.4× 168 2.2× 28 0.6× 26 0.8× 7 271
Xinsong Chen Sweden 11 123 0.6× 187 2.0× 93 1.2× 13 0.3× 12 0.4× 23 346
Marta Escorihuela Spain 9 185 0.9× 91 1.0× 44 0.6× 97 1.9× 26 0.8× 12 277
Paul Shafer United States 5 200 1.0× 85 0.9× 153 2.0× 19 0.4× 18 0.5× 8 290
Shang Su China 7 178 0.9× 298 3.2× 15 0.2× 8 0.2× 43 1.3× 10 380
Liane Höfferer Switzerland 7 117 0.6× 198 2.1× 57 0.7× 34 0.7× 8 0.2× 8 281

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-authorship network of co-authors of G. Rouas

This figure shows the co-authorship network connecting the top 25 collaborators of G. Rouas. A scholar is included among the top collaborators of G. Rouas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with G. Rouas. G. Rouas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
2.
Wang, Xiaoxiao, David Venet, Denis Larsimont, et al.. (2022). 1711P Spatial transcriptomics reveals substantial heterogeneity in TNBC tumor and stroma compartments with potential clinical implications. Annals of Oncology. 33. S1321–S1322. 1 indexed citations
5.
Journé, Fabrice, Virginie Durbecq, Carole Chaboteaux, et al.. (2008). Farnesoid X receptor in primary breast carcinoma: A new marker to predict bone metastasis?. Bone. 42. S97–S97. 1 indexed citations
6.
Hendlisz, Alain, Raphaël Maréchal, Virginie Durbecq, et al.. (2008). Modulation and prognostic value of epidermal growth factor receptor (EGFR) expression in circulating tumor cells (CTCs) during chemotherapy (CT) in patients with metastatic colorectal cancer. Journal of Clinical Oncology. 26(15_suppl). 15038–15038. 5 indexed citations
7.
Cardoso, Fátima, Virginie Durbecq, Denis Larsimont, et al.. (2004). Correlation between complete response to anthracycline-based chemotherapy and topoisomerase II-α gene amplification and protein overexpression in locally advanced/metastatic breast cancer. International Journal of Oncology. 24(1). 201–9. 74 indexed citations
8.
Gancberg, David, Angelo Di Leo, G. Rouas, et al.. (2002). Reliability of the tissue microarray based FISH for evaluation of the HER-2 oncogene in breast carcinoma. Journal of Clinical Pathology. 55(4). 315–317. 40 indexed citations
9.
Martin, Bradley C., J‐M Verdebout, Céline Mascaux, et al.. (2002). Expression of p53 in preneoplastic and early neoplastic bronchial lesions. Oncology Reports. 9(2). 223–9. 20 indexed citations
10.
Gancberg, David, Francesco Feoli, J. Hamels, et al.. (2000). Trisomy 6 in Merkel cell carcinoma: a recurrent chromosomal aberration. Histopathology. 37(5). 445–451. 26 indexed citations
11.
Lespagnard, Laurence, David Gancberg, G. Rouas, et al.. (1999). Tumor-infiltrating dendritic cells in adenocarcinomas of the breast: a study of 143 neoplasms with a correlation to usual prognostic factors and to clinical outcome. International Journal of Cancer. 84(3). 309–314. 88 indexed citations
12.
Lespagnard, Laurence, David Gancberg, G. Rouas, et al.. (1999). Tumor‐infiltrating dendritic cells in adenocarcinomas of the breast: a study of 143 neoplasms with a correlation to usual prognostic factors and to clinical outcome. International Journal of Cancer. 84(3). 309–314. 2 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026