F. Majois

41 total papers · 482 total citations
28 papers, 348 citations indexed

About

F. Majois is a scholar working on Oncology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, F. Majois has authored 28 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Oncology, 10 papers in Pulmonary and Respiratory Medicine and 8 papers in Cancer Research. Recurrent topics in F. Majois's work include Cancer Treatment and Pharmacology (13 papers), HER2/EGFR in Cancer Research (9 papers) and Breast Cancer Treatment Studies (8 papers). F. Majois is often cited by papers focused on Cancer Treatment and Pharmacology (13 papers), HER2/EGFR in Cancer Research (9 papers) and Breast Cancer Treatment Studies (8 papers). F. Majois collaborates with scholars based in Belgium, France and Australia. F. Majois's co-authors include M. Beauduin, Olivier Descamps, Christophe Ravoet, P J Capel, M. Lambermont, Bérengère Husson, Walter Feremans, Alain Kentos, D. Becquart and Philippe Bougnoux and has published in prestigious journals such as Journal of Clinical Oncology, Cancer Research and European Heart Journal.

In The Last Decade

F. Majois

26 papers receiving 340 citations

Author Peers

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

Author Last Decade Papers Cites
F. Majois 223 69 63 59 56 28 348
Dìlek Dìnçol 143 0.6× 105 1.5× 31 0.5× 46 0.8× 73 1.3× 28 392
Kerstin L. Edlefsen 168 0.8× 40 0.6× 32 0.5× 22 0.4× 36 0.6× 23 364
Kazumi Kuriwaki 95 0.4× 98 1.4× 63 1.0× 25 0.4× 127 2.3× 22 373
Laurence Bozec 268 1.2× 143 2.1× 18 0.3× 67 1.1× 54 1.0× 25 371
Georgios Paterakis 92 0.4× 23 0.3× 90 1.4× 24 0.4× 76 1.4× 32 364
Chet Bohac 220 1.0× 107 1.6× 51 0.8× 13 0.2× 52 0.9× 20 334
Brian M.J. Cantwell 236 1.1× 83 1.2× 11 0.2× 51 0.9× 127 2.3× 21 370
Fazıl Aydin 132 0.6× 88 1.3× 37 0.6× 38 0.6× 69 1.2× 32 345
Jozef Malysz 111 0.5× 30 0.4× 103 1.6× 71 1.2× 126 2.3× 40 347
Greg Hapgood 123 0.6× 35 0.5× 27 0.4× 64 1.1× 29 0.5× 28 387

Countries citing papers authored by F. Majois

Since Specialization
Citations

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

Fields of papers citing papers by F. Majois

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Majois

This figure shows the co-authorship network connecting the top 25 collaborators of F. Majois. A scholar is included among the top collaborators of F. Majois 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 F. Majois. F. Majois 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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