Maud Kamal

278 total papers · 6.0k 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 35 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 Netherlands. 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, Florence Gbahou and Xavier Paolettí 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

77 papers receiving 1.6k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Maud Kamal 779 494 461 304 291 87 1.7k
Kyung‐Hwa Lee 834 1.1× 472 1.0× 366 0.8× 270 0.9× 187 0.6× 178 2.3k
Dominique Guénot 600 0.8× 493 1.0× 278 0.6× 196 0.6× 136 0.5× 76 1.6k
Kazuhiro Ogi 1.4k 1.8× 606 1.2× 346 0.8× 224 0.7× 349 1.2× 74 2.3k
Ken‐ichirou Morishige 1.2k 1.5× 343 0.7× 305 0.7× 164 0.5× 330 1.1× 90 2.3k
Seiji Nomura 623 0.8× 556 1.1× 211 0.5× 246 0.8× 194 0.7× 98 2.2k
Qingliang Wang 1.1k 1.4× 394 0.8× 298 0.6× 122 0.4× 353 1.2× 64 1.9k
Mercedes Garayoa 1.4k 1.7× 756 1.5× 297 0.6× 119 0.4× 313 1.1× 70 2.3k
Daniela Virgintino 860 1.1× 345 0.7× 216 0.5× 117 0.4× 398 1.4× 94 2.3k
P. Alberto 367 0.5× 635 1.3× 136 0.3× 338 1.1× 148 0.5× 97 1.4k
Byung Lan Lee 1.2k 1.5× 844 1.7× 533 1.2× 356 1.2× 162 0.6× 69 2.2k

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

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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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