Saveur-Michel Maira

564 citations
8 papers · 424 indexed · h-index 6
Topics
PI3K/AKT/mTOR signaling in cancer (6 papers)Chronic Myeloid Leukemia Treatments (2 papers)Glycosylation and Glycoproteins Research (1 paper)

In The Last Decade

Saveur-Michel Maira

8 papers receiving 421 citations

Peers

Saveur-Michel Maira
Comparison fields: 5 of 63
  • Molecular Biology 323
  • Oncology 79
  • Epidemiology 69
  • Pathology and Forensic Medicine 59
  • Cancer Research 51
Replace Wai Wong with:
Wai Wong United States
Adam Naguib United States
Mike Berger United States
Nathiya Muthalagu United Kingdom
Yuniel Fernández‐Marrero Switzerland
Julien Bollard France
Zeng Quan Yang United States
N Wong Hong Kong
Ceri M. Wiggins United Kingdom
Eyal Kalo Israel
Saveur-Michel Maira relative to Wai Wong United States Wai Wong's profile →
Citations per field
00.5×2.9×
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Citations per year

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
#WorkIndexed citations
1 81
2 30
3 1
4 181
5 97
6 2
7
Preclinical pharmacological profile of ABJ879, a novel epothilone B analog with potent and protracted anti-tumor activity
8
8 24

About Saveur-Michel Maira

Saveur-Michel Maira is a scholar working on Hematology, Molecular Biology and Immunology, having authored 8 papers that have together received 424 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (6 papers), Chronic Myeloid Leukemia Treatments (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Molecular Biology (323 citations), Genetics (44 citations) and Cancer Research (51 citations). Saveur-Michel Maira has collaborated with scholars based in Switzerland, United States and France. Frequent co-authors include Carlos Garcı́a-Echeverrı́a, Christine Fritsch, Saskia M. Brachmann, Christine Stephan, Cheryl A. Doughty, Louise Barys, Heidi A. Lane, Madlaina Breuleux, David J. Kwiatkowski and Peter M. Finan. Their work appears in journals such as Blood, Cancer Research and Current Opinion in Cell Biology.

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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