Maud Kamal

6.2k total citations
87 papers, 1.7k citations indexed

About

Maud Kamal is a scholar working on Oncology, Molecular Biology and Cancer Research. According to data from OpenAlex, Maud Kamal has authored 87 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Oncology, 34 papers in Molecular Biology and 31 papers in Cancer Research. Recurrent topics in Maud Kamal's work include Cancer Genomics and Diagnostics (29 papers), Lung Cancer Treatments and Mutations (20 papers) and Receptor Mechanisms and Signaling (12 papers). Maud Kamal is often cited by papers focused on Cancer Genomics and Diagnostics (29 papers), Lung Cancer Treatments and Mutations (20 papers) and Receptor Mechanisms and Signaling (12 papers). Maud Kamal collaborates with scholars based in France, Italy and United States. Maud Kamal's co-authors include Ralf Jockers, Christophe Le Tourneau, Pascal Maurice, Ivan Bièche, Kenjiro Tadagaki, Thomas Rio Frio, Jean‐Luc Guillaume, Nicolas Servant, Xavier Paolettí and Florence Gbahou and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Maud Kamal

78 papers receiving 1.7k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Maud Kamal France 24 781 499 461 306 291 87 1.7k
Qingliang Wang China 22 1.1k 1.4× 394 0.8× 299 0.6× 123 0.4× 353 1.2× 66 1.9k
Peter Hein Germany 18 1.2k 1.6× 688 1.4× 364 0.8× 308 1.0× 401 1.4× 34 2.1k
Gerd Munzert Germany 28 1.4k 1.9× 1.1k 2.1× 315 0.7× 275 0.9× 146 0.5× 63 3.1k
Samantha R. Oakes Australia 24 1.2k 1.5× 962 1.9× 398 0.9× 255 0.8× 101 0.3× 33 2.1k
Florian Bassermann Germany 26 1.7k 2.2× 789 1.6× 217 0.5× 334 1.1× 85 0.3× 105 2.9k
Takayuki Isagawa Japan 23 1.7k 2.1× 352 0.7× 632 1.4× 127 0.4× 57 0.2× 47 2.3k
Anika Agarwal United States 21 965 1.2× 635 1.3× 643 1.4× 144 0.5× 286 1.0× 26 2.3k
Françoise Révillion France 23 962 1.2× 863 1.7× 310 0.7× 152 0.5× 76 0.3× 45 1.9k
Yuanqing Yan United States 25 634 0.8× 213 0.4× 351 0.8× 119 0.4× 53 0.2× 57 1.5k
Juana García-Pedrero Spain 31 1.4k 1.8× 847 1.7× 552 1.2× 346 1.1× 51 0.2× 111 2.7k

Countries citing papers authored by Maud Kamal

Since Specialization
Citations

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

Fields of papers citing papers by Maud Kamal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maud Kamal

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

All Works

20 of 20 papers shown
1.
Kieffer, Yann, Arianna Mencattini, Rana Mhaidly, et al.. (2025). An Extracellular Matrix–Producing Subset of Cancer-Associated Fibroblasts Drives Chemoresistance in Breast Cancer via SRC Activation and G0S2 Upregulation. Cancer Research. 86(4). 1054–1072.
2.
Dupain, Célia, Grégoire Marret, Xavier Paolettí, et al.. (2024). Pan‐cancer evaluation of tumor‐infiltrating lymphocytes and programmed cell death protein ligand‐1 in metastatic biopsies and matched primary tumors. The Journal of Pathology. 264(2). 186–196.
3.
Latouche, Aurélien, Felix Bruno Kleine Borgmann, Jean‐Jacques Gérardy, et al.. (2023). Systematic assessment of tumor necrosis at baseline in cervical cancer - An independent factor associated with poor outcome. Human Pathology. 143. 62–70.
4.
Basse, Clémence, Julien Masliah‐Planchon, Céline Callens, et al.. (2023). Gain of Aggressive Histological and Molecular Patterns after Acquired Resistance to Novel Anti-EGFR Therapies in Non-Small Cell Lung Cancer. International Journal of Molecular Sciences. 24(4). 3802–3802. 1 indexed citations
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7.
Scholl, Suzy, et al.. (2023). RAIDS atlas of significant genetic and protein biomarkers in cervical cancer. Journal of Gynecologic Oncology. 34(5). e74–e74. 1 indexed citations
8.
Hilmi, Marc, Maud Kamal, Sophie Vacher, et al.. (2023). Intratumoral microbiome is driven by metastatic site and associated with immune histopathological parameters: An ancillary study of the SHIVA clinical trial. European Journal of Cancer. 183. 152–161. 26 indexed citations
9.
Jeannot, Emmanuelle, Aurélien Latouche, Claire Bonneau, et al.. (2022). 2022-RA-205-ESGO Circulating HPV DNA in cervical cancer: a marker for early detection of relapse. International Journal of Gynecological Cancer. 32. A404–A404. 1 indexed citations
10.
Borcoman, Édith, et al.. (2021). HDAC Inhibition to Prime Immune Checkpoint Inhibitors. Cancers. 14(1). 66–66. 47 indexed citations
11.
Neuzillet, Cindy, Maxime Wack, Sonia Lameiras, et al.. (2019). Mechanistic Signatures of Human Papillomavirus Insertions in Anal Squamous Cell Carcinomas. Cancers. 11(12). 1846–1846. 18 indexed citations
12.
Samuels, Sanne, Balázs Bálint, Heiko von der Leyen, et al.. (2016). Precision medicine in cancer: challenges and recommendations from an EU-funded cervical cancer biobanking study. British Journal of Cancer. 115(12). 1575–1583. 6 indexed citations
13.
Paolettí, Xavier, Bernard Asselain, Maud Kamal, et al.. (2015). Design and statistical principles of the SHIVA trial.. PubMed. 4(3). 32–32. 1 indexed citations
14.
Lebofsky, Ronald, Charles Decraene, Virginie Bernard, et al.. (2014). Circulating tumor DNA as a non‐invasive substitute to metastasis biopsy for tumor genotyping and personalized medicine in a prospective trial across all tumor types. Molecular Oncology. 9(4). 783–790. 216 indexed citations
15.
Tourneau, Christophe Le, Maud Kamal, Marie Alt, et al.. (2014). The spectrum of clinical trials aiming at personalizing medicine.. PubMed. 3(2). 13–13. 18 indexed citations
16.
17.
Scholl, Suzy, Maud Kamal, Leanne de Koning, et al.. (2013). HPV Pathway Profiling: HPV Related Cervical Dysplasia and Carcinoma Studies. Current Pharmaceutical Design. 19(8). 1379–1394. 1 indexed citations
18.
Jockers, Ralf, Florence Gbahou, Kenjiro Tadagaki, & Maud Kamal. (2012). Oligomérisation des protéines humaines et virales à sept domaines transmembranaires. médecine/sciences. 28(10). 864–869. 6 indexed citations
19.
Kamal, Maud & Ralf Jockers. (2011). Biological Significance of GPCR Heteromerization in the Neuro-Endocrine System. SHILAP Revista de lepidopterología. 2. 2–2. 26 indexed citations
20.
Kamal, Maud, André Pawlak, Asta Valančiūtė, et al.. (2009). C‐mip interacts with the p85 subunit of PI3 kinase and exerts a dual effect on ERK signaling via the recruitment of Dip1 and DAP kinase. FEBS Letters. 584(3). 500–506. 20 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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