Danièle Masson

28 total papers · 2.3k total citations
25 papers, 2.0k citations indexed

About

Danièle Masson is a scholar working on Molecular Biology, Immunology and Cell Biology. According to data from OpenAlex, Danièle Masson has authored 25 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Immunology and 8 papers in Cell Biology. Recurrent topics in Danièle Masson's work include Glycosylation and Glycoproteins Research (9 papers), Microtubule and mitosis dynamics (6 papers) and Ubiquitin and proteasome pathways (4 papers). Danièle Masson is often cited by papers focused on Glycosylation and Glycoproteins Research (9 papers), Microtubule and mitosis dynamics (6 papers) and Ubiquitin and proteasome pathways (4 papers). Danièle Masson collaborates with scholars based in Switzerland, Germany and United States. Danièle Masson's co-authors include Jürg Tschopp, T E Kreis, Markus Nabholz, Keith K. Stanley, J Tschopp, Manuel C. Peitsch, Christine Estrade, J Tschopp, E. D. Salmon and Saul Schaefer and has published in prestigious journals such as Nature, Cell and Journal of Biological Chemistry.

In The Last Decade

Danièle Masson

24 papers receiving 1.9k citations

Author Peers

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

Author						Papers	Cites
Danièle Masson	953	879	355	301	240	25	2.0k
Clare L. Abram	1.3k 1.4×	1.0k 1.1×	315 0.9×	250 0.8×	321 1.3×	28	2.6k
Roger Ferrini	1.0k 1.1×	841 1.0×	228 0.6×	143 0.5×	268 1.1×	21	1.9k
G J Dougherty	430 0.5×	741 0.8×	344 1.0×	262 0.9×	327 1.4×	36	1.8k
Deborah J. Vestal	1.0k 1.1×	1.1k 1.2×	261 0.7×	260 0.9×	358 1.5×	28	2.2k
Sylvia L. Anderson	743 0.8×	831 0.9×	196 0.6×	281 0.9×	238 1.0×	37	1.9k
Catherina H. Bird	948 1.0×	907 1.0×	190 0.5×	409 1.4×	315 1.3×	33	2.1k
Pavla Angelisová	1.3k 1.4×	1.0k 1.2×	251 0.7×	124 0.4×	200 0.8×	46	2.3k
Esther M. Lafuente	517 0.5×	929 1.1×	370 1.0×	180 0.6×	152 0.6×	52	1.8k
Jiuru Sun	656 0.7×	907 1.0×	195 0.5×	344 1.1×	242 1.0×	28	1.8k
Mark Egerton	732 0.8×	1.3k 1.5×	323 0.9×	168 0.6×	429 1.8×	23	2.2k

Countries citing papers authored by Danièle Masson

Since Specialization

Citations

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

Fields of papers citing papers by Danièle Masson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danièle Masson

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