Saveur-Michel Maira

564 total citations
8 papers, 424 citations indexed

About

Saveur-Michel Maira is a scholar working on Molecular Biology, Hematology and Oncology. According to data from OpenAlex, Saveur-Michel Maira has authored 8 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Hematology and 2 papers in Oncology. Recurrent topics in Saveur-Michel Maira's work include PI3K/AKT/mTOR signaling in cancer (6 papers), Chronic Myeloid Leukemia Treatments (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Saveur-Michel Maira is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (6 papers), Chronic Myeloid Leukemia Treatments (2 papers) and Glycosylation and Glycoproteins Research (1 paper). Saveur-Michel Maira collaborates with scholars based in Switzerland, United States and France. Saveur-Michel Maira's co-authors include Carlos Garcı́a-Echeverrı́a, Christine Fritsch, Saskia M. Brachmann, Heidi A. Lane, Louise Barys, Cheryl A. Doughty, David J. Kwiatkowski, Christine Stephan, Madlaina Breuleux and Peter M. Finan and has published in prestigious journals such as Blood, Cancer Research and Current Opinion in Cell Biology.

In The Last Decade

Saveur-Michel Maira

8 papers receiving 421 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Saveur-Michel Maira Switzerland 6 323 79 69 59 51 8 424
Joana R. Costa United Kingdom 10 347 1.1× 82 1.0× 60 0.9× 71 1.2× 49 1.0× 14 470
Wai Wong United States 4 284 0.9× 71 0.9× 42 0.6× 43 0.7× 44 0.9× 5 365
Ceri M. Wiggins United Kingdom 9 405 1.3× 112 1.4× 47 0.7× 56 0.9× 59 1.2× 12 492
Mike Berger United States 2 284 0.9× 53 0.7× 38 0.6× 45 0.8× 40 0.8× 3 344
Céline Chauvin France 9 361 1.1× 56 0.7× 61 0.9× 59 1.0× 88 1.7× 13 467
N Wong Hong Kong 7 179 0.6× 104 1.3× 22 0.3× 63 1.1× 83 1.6× 12 336
Do‐Sun Byun South Korea 8 381 1.2× 127 1.6× 21 0.3× 75 1.3× 103 2.0× 8 507
Aejaz Nasir United States 10 280 0.9× 114 1.4× 45 0.7× 20 0.3× 80 1.6× 15 411
Stephanie K. Guest United Kingdom 7 323 1.0× 168 2.1× 24 0.3× 65 1.1× 59 1.2× 7 429
Yoko Ogawara Japan 6 445 1.4× 213 2.7× 42 0.6× 52 0.9× 118 2.3× 14 591

Countries citing papers authored by Saveur-Michel Maira

Since Specialization
Citations

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

Fields of papers citing papers by Saveur-Michel Maira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Saveur-Michel Maira. 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 Saveur-Michel Maira. The network helps show where Saveur-Michel Maira may publish in the future.

Co-authorship network of co-authors of Saveur-Michel Maira

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

All Works

8 of 8 papers shown
1.
Thomas, Hala Elnakat, Carol A. Mercer, Larissa S. Carnevalli, et al.. (2012). mTOR Inhibitors Synergize on Regression, Reversal of Gene Expression, and Autophagy in Hepatocellular Carcinoma. Science Translational Medicine. 4(139). 139ra84–139ra84. 81 indexed citations
2.
Maira, Saveur-Michel, Peter M. Finan, & Carlos Garcı́a-Echeverrı́a. (2010). From the Bench to the Bed Side: PI3K Pathway Inhibitors in Clinical Development. Current topics in microbiology and immunology. 347. 209–239. 30 indexed citations
3.
Barker, Karen, et al.. (2010). Abstract 5255: NVP-BEZ235 a dual PI3K/mTOR inhibitor destabilises Mycn in vitro and is growth inhibitory in the TH-MYCN murine neuroblastoma model. Cancer Research. 70(8_Supplement). 5255–5255. 1 indexed citations
4.
Breuleux, Madlaina, Christine Stephan, Cheryl A. Doughty, et al.. (2009). Increased AKT S473 phosphorylation after mTORC1 inhibition is rictor dependent and does not predict tumor cell response to PI3K/mTOR inhibition. Molecular Cancer Therapeutics. 8(4). 742–753. 181 indexed citations
5.
Brachmann, Saskia M., Christine Fritsch, Saveur-Michel Maira, & Carlos Garcı́a-Echeverrı́a. (2009). PI3K and mTOR inhibitors — a new generation of targeted anticancer agents. Current Opinion in Cell Biology. 21(2). 194–198. 97 indexed citations
6.
McMillin, Douglas W., Joseph Negri, Jake Delmore, et al.. (2007). Anti-Myeloma Activity of Selective PI-3K/PDK/mTOR Inhibitor BEZ235.. Blood. 110(11). 1185–1185. 2 indexed citations
7.
Wartmann, Markus, Marc Hattenberger, Melanie Müller, et al.. (2004). Preclinical pharmacological profile of ABJ879, a novel epothilone B analog with potent and protracted anti-tumor activity. Cancer Research. 64. 1256–1256. 8 indexed citations
8.
O’Reilly, Terry, Markus Wartmann, Saveur-Michel Maira, et al.. (2004). Patupilone (epothilone B, EPO906) and imatinib (STI571, Glivec) in combination display enhanced antitumour activity in vivo against experimental rat C6 glioma. Cancer Chemotherapy and Pharmacology. 55(4). 307–317. 24 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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