Bianca Cheaib

537 total citations
8 papers, 402 citations indexed

About

Bianca Cheaib is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Genetics. According to data from OpenAlex, Bianca Cheaib has authored 8 papers receiving a total of 402 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 5 papers in Oncology and 2 papers in Genetics. Recurrent topics in Bianca Cheaib's work include Advanced Breast Cancer Therapies (4 papers), HER2/EGFR in Cancer Research (2 papers) and Ovarian cancer diagnosis and treatment (2 papers). Bianca Cheaib is often cited by papers focused on Advanced Breast Cancer Therapies (4 papers), HER2/EGFR in Cancer Research (2 papers) and Ovarian cancer diagnosis and treatment (2 papers). Bianca Cheaib collaborates with scholars based in France and Spain. Bianca Cheaib's co-authors include Alexandra Léary, Aurélie Auguste, Julien Adam, Philippe Morice, Judith Michels, Ariane Dunant, Soizick Mesnage, Françoise Drusch, Catherine Genestie and Sébastien Gouy and has published in prestigious journals such as Cancer Research, Annals of Oncology and Journal of Neurology.

In The Last Decade

Bianca Cheaib

8 papers receiving 392 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bianca Cheaib France 6 221 143 107 104 96 8 402
Jennifer R. Ribeiro United States 13 158 0.7× 190 1.3× 132 1.2× 81 0.8× 83 0.9× 42 482
Nicoletta Chicchinelli Italy 9 184 0.8× 184 1.3× 37 0.3× 156 1.5× 38 0.4× 12 453
Linjuan Xu China 11 115 0.5× 206 1.4× 61 0.6× 37 0.4× 91 0.9× 22 369
Hiromi Tanimura United States 8 148 0.7× 205 1.4× 48 0.4× 136 1.3× 37 0.4× 9 353
Georgia Liles United States 5 72 0.3× 111 0.8× 69 0.6× 40 0.4× 56 0.6× 5 309
Samar Masoumi Moghaddam Australia 5 102 0.5× 185 1.3× 64 0.6× 31 0.3× 39 0.4× 6 323
Lihong Yin United States 11 126 0.6× 259 1.8× 52 0.5× 116 1.1× 24 0.3× 17 405
Shanyang He China 13 132 0.6× 407 2.8× 38 0.4× 46 0.4× 47 0.5× 23 552
Lina Albitar United States 10 117 0.5× 204 1.4× 51 0.5× 46 0.4× 39 0.4× 12 374
Prabhjot S. Mundi United States 9 175 0.8× 290 2.0× 16 0.1× 111 1.1× 39 0.4× 27 490

Countries citing papers authored by Bianca Cheaib

Since Specialization
Citations

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

Fields of papers citing papers by Bianca Cheaib

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bianca Cheaib

This figure shows the co-authorship network connecting the top 25 collaborators of Bianca Cheaib. A scholar is included among the top collaborators of Bianca Cheaib 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 Bianca Cheaib. Bianca Cheaib is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Smolenschi, Cristina, Elie Rassy, Johan Pallud, et al.. (2023). Bevacizumab in real-life patients with recurrent glioblastoma: benefit or futility?. Journal of Neurology. 270(5). 2702–2714. 7 indexed citations
3.
Léary, Alexandra, Catherine Genestie, Félix Blanc‐Durand, et al.. (2020). Neoadjuvant chemotherapy alters the balance of effector to suppressor immune cells in advanced ovarian cancer. Cancer Immunology Immunotherapy. 70(2). 519–531. 25 indexed citations
4.
Arnedos, Mónica, Mohamed Amine Bayar, Bianca Cheaib, et al.. (2018). Modulation of Rb phosphorylation and antiproliferative response to palbociclib: the preoperative-palbociclib (POP) randomized clinical trial. Annals of Oncology. 29(8). 1755–1762. 48 indexed citations
5.
Arnedos, Mónica, Pauline du Rusquec, Coriolan Lebreton, et al.. (2018). Abstract P5-21-11: Benefit from palbociclib and fulvestrant based on previous fulvestrant and/or everolimus treatment. Based on a cohort of over 200 patients treated in a French compassionate program. Cancer Research. 78(4_Supplement). P5–21. 1 indexed citations
6.
Mesnage, Soizick, Aurélie Auguste, Catherine Genestie, et al.. (2016). Neoadjuvant chemotherapy (NACT) increases immune infiltration and programmed death-ligand 1 (PD-L1) expression in epithelial ovarian cancer (EOC). Annals of Oncology. 28(3). 651–657. 138 indexed citations
7.
Arnedos, Mónica, Bianca Cheaib, Mohamed Amine Bayar, et al.. (2016). Abstract CT041: Anti-proliferative response and predictive biomarkers to palbociclib in early breast cancer: The Preoperative Palbociclib (POP) randomized trial. Cancer Research. 76(14_Supplement). CT041–CT041. 9 indexed citations
8.
Cheaib, Bianca, Aurélie Auguste, & Alexandra Léary. (2015). The PI3K/Akt/mTOR pathway in ovarian cancer: therapeutic opportunities and challenges. Chinese Journal of Cancer. 34(1). 4–16. 171 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.

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