Alexander Sele

676 total citations
10 papers, 456 citations indexed

About

Alexander Sele is a scholar working on Molecular Biology, Organic Chemistry and Pathology and Forensic Medicine. According to data from OpenAlex, Alexander Sele has authored 10 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Organic Chemistry and 2 papers in Pathology and Forensic Medicine. Recurrent topics in Alexander Sele's work include PI3K/AKT/mTOR signaling in cancer (8 papers), Quinazolinone synthesis and applications (4 papers) and Cancer therapeutics and mechanisms (2 papers). Alexander Sele is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (8 papers), Quinazolinone synthesis and applications (4 papers) and Cancer therapeutics and mechanisms (2 papers). Alexander Sele collaborates with scholars based in Switzerland, Canada and Germany. Alexander Sele's co-authors include Denise Rageot, Anna Melone, Matthias P. Wymann, Doriano Fabbro, Florent Beaufils, Petra Hillmann, Thomas Bohnacker, Paul Hebeisen, Chiara Borsari and Marketa Zvelebil and has published in prestigious journals such as Nature Communications, Cancer Research and Journal of Medicinal Chemistry.

In The Last Decade

Alexander Sele

10 papers receiving 446 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alexander Sele Switzerland 8 310 168 53 49 36 10 456
Anna Melone Switzerland 11 337 1.1× 165 1.0× 57 1.1× 51 1.0× 38 1.1× 18 523
Denise Rageot Switzerland 13 373 1.2× 269 1.6× 57 1.1× 53 1.1× 42 1.2× 19 640
Matthew C. Lucas United States 16 159 0.5× 220 1.3× 37 0.7× 18 0.4× 28 0.8× 32 530
Kristiina Nordfors Finland 11 404 1.3× 115 0.7× 124 2.3× 20 0.4× 55 1.5× 27 513
Rémy Morgentin France 13 292 0.9× 301 1.8× 33 0.6× 30 0.6× 173 4.8× 23 624
E. Stanbridge United States 3 424 1.4× 103 0.6× 24 0.5× 52 1.1× 71 2.0× 6 502
Itsuro Shimada Japan 10 194 0.6× 132 0.8× 65 1.2× 31 0.6× 88 2.4× 19 490
Merryl Cramer United States 11 437 1.4× 153 0.9× 215 4.1× 18 0.4× 89 2.5× 16 846
Letizia Magnoni Italy 12 311 1.0× 50 0.3× 61 1.2× 19 0.4× 147 4.1× 22 519
Nicolas Warin United Kingdom 4 222 0.7× 111 0.7× 41 0.8× 27 0.6× 115 3.2× 7 394

Countries citing papers authored by Alexander Sele

Since Specialization
Citations

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

Fields of papers citing papers by Alexander Sele

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Sele

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

All Works

10 of 10 papers shown
1.
Borsari, Chiara, Denise Rageot, Thomas Bohnacker, et al.. (2019). A Conformational Restriction Strategy for the Identification of a Highly Selective Pyrimido-pyrrolo-oxazine mTOR Inhibitor. Journal of Medicinal Chemistry. 62(18). 8609–8630. 30 indexed citations
2.
Rageot, Denise, Thomas Bohnacker, Erhan Keleş, et al.. (2019). (S)-4-(Difluoromethyl)-5-(4-(3-methylmorpholino)-6-morpholino-1,3,5-triazin-2-yl)pyridin-2-amine (PQR530), a Potent, Orally Bioavailable, and Brain-Penetrable Dual Inhibitor of Class I PI3K and mTOR Kinase. Journal of Medicinal Chemistry. 62(13). 6241–6261. 49 indexed citations
3.
Borsari, Chiara, Denise Rageot, Florent Beaufils, et al.. (2019). Preclinical Development of PQR514, a Highly Potent PI3K Inhibitor Bearing a Difluoromethyl–Pyrimidine Moiety. ACS Medicinal Chemistry Letters. 10(10). 1473–1479. 34 indexed citations
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Bohnacker, Thomas, A.E. Prota, Florent Beaufils, et al.. (2017). Deconvolution of Buparlisib’s mechanism of action defines specific PI3K and tubulin inhibitors for therapeutic intervention. Nature Communications. 8(1). 14683–14683. 86 indexed citations
7.
Beaufils, Florent, Vladimir Cmiljanović, Thomas Bohnacker, et al.. (2017). 5-(4,6-Dimorpholino-1,3,5-triazin-2-yl)-4-(trifluoromethyl)pyridin-2-amine (PQR309), a Potent, Brain-Penetrant, Orally Bioavailable, Pan-Class I PI3K/mTOR Inhibitor as Clinical Candidate in Oncology. Journal of Medicinal Chemistry. 60(17). 7524–7538. 115 indexed citations
8.
Rageot, Denise, Florent Beaufils, Anna Melone, et al.. (2017). Abstract 140: Discovery and biological evaluation of PQR530, a highly potent dual pan-PI3K/mTORC1/2 inhibitor. Cancer Research. 77(13_Supplement). 140–140. 3 indexed citations
9.
Hillmann, Petra, Denise Rageot, Florent Beaufils, et al.. (2017). Abstract 159: Pharmacological characterization of the selective, orally bioavailable, potent dual PI3K/mTORC1/2 inhibitor PQR530. Cancer Research. 77(13_Supplement). 159–159. 3 indexed citations
10.
Sele, Alexander, John B. Bremner, Anthony C. Willis, et al.. (2015). A cascade synthetic route to new bioactive spiroindolinepyrido[1,2-a]indolediones from indirubin. Tetrahedron. 71(43). 8357–8367. 9 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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