Murielle Glondu-Lassis

27 total papers · 568 total citations
6 papers, 451 citations indexed

About

Murielle Glondu-Lassis is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Murielle Glondu-Lassis has authored 6 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Cancer Research and 2 papers in Immunology. Recurrent topics in Murielle Glondu-Lassis's work include Protein Tyrosine Phosphatases (3 papers), RNA modifications and cancer (3 papers) and Galectins and Cancer Biology (2 papers). Murielle Glondu-Lassis is often cited by papers focused on Protein Tyrosine Phosphatases (3 papers), RNA modifications and cancer (3 papers) and Galectins and Cancer Biology (2 papers). Murielle Glondu-Lassis collaborates with scholars based in France, Luxembourg and Netherlands. Murielle Glondu-Lassis's co-authors include Emmanuelle Liaudet‐Coopman, Mélanie Beaujouin, Danielle Derocq, Christine Prébois, Françoise Vignon, Marcel Garcia, Henri Rochefort, Valérie Laurent‐Matha, Carole Puech and Gilles Freiss and has published in prestigious journals such as Cancer Research, Oncogene and Cancer Letters.

In The Last Decade

Murielle Glondu-Lassis

6 papers receiving 446 citations

Author Peers

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

Author Last Decade Papers Cites
Murielle Glondu-Lassis 289 124 83 72 70 6 451
William A. Ricketts 265 0.9× 57 0.5× 54 0.7× 59 0.8× 48 0.7× 10 474
D. V. Roberts 278 1.0× 115 0.9× 83 1.0× 42 0.6× 64 0.9× 11 483
Felipe Were 399 1.4× 79 0.6× 63 0.8× 90 1.3× 61 0.9× 10 539
Hai Hu 350 1.2× 110 0.9× 107 1.3× 85 1.2× 39 0.6× 10 474
Meritxell Reverter 420 1.5× 149 1.2× 64 0.8× 73 1.0× 102 1.5× 9 544
Philip K. Hall 253 0.9× 77 0.6× 50 0.6× 36 0.5× 97 1.4× 12 454
Bernadette C. Victor 290 1.0× 129 1.0× 133 1.6× 61 0.8× 79 1.1× 6 465
Toshitake Hirai 271 0.9× 95 0.8× 119 1.4× 156 2.2× 45 0.6× 9 547
Xun‐Xun Wan 331 1.1× 164 1.3× 148 1.8× 39 0.5× 51 0.7× 9 456
Jose C. Juarez 287 1.0× 85 0.7× 93 1.1× 85 1.2× 20 0.3× 6 538

Countries citing papers authored by Murielle Glondu-Lassis

Since Specialization
Citations

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

Fields of papers citing papers by Murielle Glondu-Lassis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Murielle Glondu-Lassis. 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 Murielle Glondu-Lassis. The network helps show where Murielle Glondu-Lassis may publish in the future.

Co-authorship network of co-authors of Murielle Glondu-Lassis

This figure shows the co-authorship network connecting the top 25 collaborators of Murielle Glondu-Lassis. A scholar is included among the top collaborators of Murielle Glondu-Lassis 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 Murielle Glondu-Lassis. Murielle Glondu-Lassis 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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