Eddine Saiah

1.8k total citations
31 papers, 973 citations indexed

About

Eddine Saiah is a scholar working on Molecular Biology, Organic Chemistry and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Eddine Saiah has authored 31 papers receiving a total of 973 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 8 papers in Organic Chemistry and 6 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Eddine Saiah's work include Hormonal Regulation and Hypertension (6 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and Computational Drug Discovery Methods (4 papers). Eddine Saiah is often cited by papers focused on Hormonal Regulation and Hypertension (6 papers), Protein Kinase Regulation and GTPase Signaling (5 papers) and Computational Drug Discovery Methods (4 papers). Eddine Saiah collaborates with scholars based in United States, France and Canada. Eddine Saiah's co-authors include Lori K. Gavrin, R. Aldrin Denny, George P. Vlasuk, Seung Hahm, Zhao‐Kui Wan, Sridhar Narayan, Graham Beaton, Sarah J. Mahoney, Seong A. Kang and Lisa Molz and has published in prestigious journals such as Journal of Clinical Investigation, Nature Communications and PLoS ONE.

In The Last Decade

Eddine Saiah

31 papers receiving 919 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eddine Saiah United States 21 468 300 105 104 101 31 973
Michael A. Stashko United States 23 708 1.5× 340 1.1× 113 1.1× 126 1.2× 152 1.5× 51 1.5k
J.C. Nwachukwu United States 20 550 1.2× 187 0.6× 87 0.8× 145 1.4× 55 0.5× 33 1.2k
Jen‐Shin Song Taiwan 22 625 1.3× 346 1.2× 125 1.2× 133 1.3× 156 1.5× 58 1.4k
Ramakrishna Seethala United States 19 629 1.3× 279 0.9× 211 2.0× 59 0.6× 64 0.6× 36 1.2k
Chen Yao China 21 643 1.4× 320 1.1× 34 0.3× 44 0.4× 99 1.0× 77 1.4k
F. Javier Piedrafita United States 19 950 2.0× 205 0.7× 78 0.7× 49 0.5× 89 0.9× 42 1.5k
Shubin Sheng United States 10 398 0.9× 179 0.6× 185 1.8× 78 0.8× 78 0.8× 11 992
Nathan B. Mantlo United States 21 810 1.7× 732 2.4× 243 2.3× 93 0.9× 101 1.0× 42 1.7k
Peter Lockey United Kingdom 18 385 0.8× 214 0.7× 96 0.9× 69 0.7× 55 0.5× 34 876
Yuanjun He United States 18 1.2k 2.5× 269 0.9× 99 0.9× 88 0.8× 126 1.2× 34 1.8k

Countries citing papers authored by Eddine Saiah

Since Specialization
Citations

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

Fields of papers citing papers by Eddine Saiah

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eddine Saiah

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

All Works

20 of 20 papers shown
1.
St-Cyr, Sophie, et al.. (2022). Huntington’s disease phenotypes are improved via mTORC1 modulation by small molecule therapy. PLoS ONE. 17(8). e0273710–e0273710. 2 indexed citations
2.
Kang, Seong A., David J. O’Neill, Shomit Sengupta, et al.. (2019). Discovery of Small-Molecule Selective mTORC1 Inhibitors via Direct Inhibition of Glucose Transporters. Cell chemical biology. 26(9). 1203–1213.e13. 33 indexed citations
3.
Sengupta, Shomit, Sridhar Narayan, Seung Hahm, et al.. (2019). Discovery of NV-5138, the first selective Brain mTORC1 activator. Scientific Reports. 9(1). 4107–4107. 47 indexed citations
4.
KATO, T., Santosh Pothula, Rong-Jian Liu, et al.. (2019). Sestrin modulator NV-5138 produces rapid antidepressant effects via direct mTORC1 activation. Journal of Clinical Investigation. 129(6). 2542–2554. 62 indexed citations
5.
Mahoney, Sarah J., Sridhar Narayan, Lisa Molz, et al.. (2018). A small molecule inhibitor of Rheb selectively targets mTORC1 signaling. Nature Communications. 9(1). 548–548. 61 indexed citations
6.
Priestley, E. Scott, Jinglan Zhou, Jiacheng Zhou, et al.. (2013). Discovery and gram-scale synthesis of BMS-593214, a potent, selective FVIIa inhibitor. Bioorganic & Medicinal Chemistry Letters. 23(8). 2432–2435. 23 indexed citations
7.
Denny, R. Aldrin, Lori K. Gavrin, & Eddine Saiah. (2013). Recent developments in targeting protein misfolding diseases. Bioorganic & Medicinal Chemistry Letters. 23(7). 1935–1944. 35 indexed citations
8.
9.
Wan, Zhao‐Kui, et al.. (2011). Phosphonium-mediated cyclization of N-(2-aminophenyl)thioureas: efficient synthesis of 2-aminobenzimidazoles. Tetrahedron Letters. 52(32). 4149–4152. 24 indexed citations
10.
Papaioannou, Nikolaos, Vasilios M. Marathias, Zhao‐Kui Wan, et al.. (2011). N-Arylation of a hindered indoline as a route to 2-(2-methyl-1-(4-oxo-3,4-dihydrophthalazin-1-yl)-1H-indol-3-yl)acetic acid derivatives. Tetrahedron Letters. 52(48). 6317–6320. 5 indexed citations
11.
Montalbán, Antonio, Russell Dahl, Justin T. Ernst, et al.. (2010). KR-003048, a potent, orally active inhibitor of p38 mitogen-activated protein kinase. European Journal of Pharmacology. 632(1-3). 93–102. 9 indexed citations
12.
Perreault, Mylène, Sarah Will, Kimberly Harding, et al.. (2009). Modulation of nutrient sensing nuclear hormone receptors promotes weight loss through appetite suppression in mice. Diabetes Obesity and Metabolism. 12(3). 234–245. 10 indexed citations
13.
Montalbán, Antonio, Russell Dahl, Andrew R. Gibbs, et al.. (2008). ‘Reverse’ α-ketoamide-based p38 MAP kinase inhibitors. Bioorganic & Medicinal Chemistry Letters. 18(20). 5456–5459. 14 indexed citations
14.
Saiah, Eddine. (2008). The Role of 11Beta-Hydroxysteroid Dehydrogenase in Metabolic Disease and Therapeutic Potential of 11Beta-HSD1 Inhibitors. Current Medicinal Chemistry. 15(7). 642–649. 35 indexed citations
15.
Tam, See‐Ying & Eddine Saiah. (2008). Recent advances in the discovery and development of PTP-1B inhibitors. Drugs of the Future. 33(2). 175–175. 8 indexed citations
16.
Montalbán, Antonio, Russell Dahl, Justin T. Ernst, et al.. (2008). The design and synthesis of novel α-ketoamide-based p38 MAP kinase inhibitors. Bioorganic & Medicinal Chemistry Letters. 18(6). 1772–1777. 18 indexed citations
17.
Xiang, Jason, Zhao‐Kui Wan, Huan‐Qiu Li, et al.. (2008). Piperazine Sulfonamides as Potent, Selective, and Orally Available 11β-Hydroxysteroid Dehydrogenase Type 1 Inhibitors with Efficacy in the Rat Cortisone-Induced Hyperinsulinemia Model. Journal of Medicinal Chemistry. 51(14). 4068–4071. 26 indexed citations
18.
Wan, Zhao‐Kui, Bruce Follows, Douglas Wilson, et al.. (2007). Probing acid replacements of thiophene PTP1B inhibitors. Bioorganic & Medicinal Chemistry Letters. 17(10). 2913–2920. 35 indexed citations
19.
Saiah, Eddine, et al.. (2005). Small Molecule Coagulation Cascade Inhibitors in the Clinic. Current Topics in Medicinal Chemistry. 5(16). 1677–1695. 33 indexed citations
20.

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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