Mariama Jaiteh

423 total citations
8 papers, 316 citations indexed

About

Mariama Jaiteh is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Computational Theory and Mathematics. According to data from OpenAlex, Mariama Jaiteh has authored 8 papers receiving a total of 316 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Cellular and Molecular Neuroscience and 4 papers in Computational Theory and Mathematics. Recurrent topics in Mariama Jaiteh's work include Receptor Mechanisms and Signaling (6 papers), Neuropeptides and Animal Physiology (4 papers) and Computational Drug Discovery Methods (4 papers). Mariama Jaiteh is often cited by papers focused on Receptor Mechanisms and Signaling (6 papers), Neuropeptides and Animal Physiology (4 papers) and Computational Drug Discovery Methods (4 papers). Mariama Jaiteh collaborates with scholars based in Sweden, Spain and United States. Mariama Jaiteh's co-authors include Jens Carlsson, Antoine Taly, Jérôme Hénin, Alexey A. Zeifman, Anirudh Ranganathan, Ismael Rodríguez‐Espigares, Jana Selent, Marı́a Isabel Loza, José Brea and Per Svenningsson and has published in prestigious journals such as Angewandte Chemie International Edition, PLoS ONE and Scientific Reports.

In The Last Decade

Mariama Jaiteh

8 papers receiving 314 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mariama Jaiteh Sweden 8 250 121 78 37 33 8 316
Pierre Matricon Sweden 12 316 1.3× 98 0.8× 65 0.8× 61 1.6× 33 1.0× 14 394
Anirudh Ranganathan Sweden 8 267 1.1× 122 1.0× 89 1.1× 45 1.2× 27 0.8× 9 293
Noureldin Saleh Germany 11 302 1.2× 109 0.9× 62 0.8× 19 0.5× 20 0.6× 20 376
Mark H.P. Verheij Netherlands 10 242 1.0× 69 0.6× 42 0.5× 17 0.5× 85 2.6× 11 354
Leticia Toledo‐Sherman United States 14 273 1.1× 96 0.8× 40 0.5× 8 0.2× 32 1.0× 21 416
Mauricio Esguerra Sweden 9 487 1.9× 164 1.4× 102 1.3× 29 0.8× 18 0.5× 12 563
Jan Møller Germany 8 303 1.2× 142 1.2× 33 0.4× 12 0.3× 25 0.8× 8 401
Terrence Kenakin United States 11 278 1.1× 194 1.6× 54 0.7× 12 0.3× 29 0.9× 12 452
Dorothée Weikert Germany 13 235 0.9× 119 1.0× 21 0.3× 9 0.2× 24 0.7× 25 373
Nicholas W. Griggs United States 12 277 1.1× 158 1.3× 27 0.3× 17 0.5× 51 1.5× 17 378

Countries citing papers authored by Mariama Jaiteh

Since Specialization
Citations

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

Fields of papers citing papers by Mariama Jaiteh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariama Jaiteh

This figure shows the co-authorship network connecting the top 25 collaborators of Mariama Jaiteh. A scholar is included among the top collaborators of Mariama Jaiteh 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 Mariama Jaiteh. Mariama Jaiteh 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.
Matricon, Pierre, Thi Nguyen, Duc Duy Vo, et al.. (2023). Structure-based virtual screening discovers potent and selective adenosine A1 receptor antagonists. European Journal of Medicinal Chemistry. 257. 115419–115419. 11 indexed citations
2.
Vo, Duc Duy, Xiaoqun Zhang, Nicolas Panel, et al.. (2021). Structure‐Guided Design of G‐Protein‐Coupled Receptor Polypharmacology. Angewandte Chemie International Edition. 60(33). 18022–18030. 14 indexed citations
3.
Jaiteh, Mariama, Ismael Rodríguez‐Espigares, Jana Selent, & Jens Carlsson. (2020). Performance of virtual screening against GPCR homology models: Impact of template selection and treatment of binding site plasticity. PLoS Computational Biology. 16(3). e1007680–e1007680. 35 indexed citations
4.
Borroto‐Escuela, Dasiel O., David Rodríguez, Wilber Romero‐Fernandez, et al.. (2018). Mapping the Interface of a GPCR Dimer: A Structural Model of the A2A Adenosine and D2 Dopamine Receptor Heteromer. Frontiers in Pharmacology. 9. 829–829. 58 indexed citations
5.
Jaiteh, Mariama, Alexey A. Zeifman, Per Svenningsson, et al.. (2018). Docking Screens for Dual Inhibitors of Disparate Drug Targets for Parkinson’s Disease. Journal of Medicinal Chemistry. 61(12). 5269–5278. 43 indexed citations
6.
Matricon, Pierre, Anirudh Ranganathan, Catia Lambertucci, et al.. (2017). Fragment optimization for GPCRs by molecular dynamics free energy calculations: Probing druggable subpockets of the A 2A adenosine receptor binding site. Scientific Reports. 7(1). 6398–6398. 41 indexed citations
7.
Jaiteh, Mariama, Alexey A. Zeifman, Alena Randáková, et al.. (2017). Structure-Guided Screening for Functionally Selective D2 Dopamine Receptor Ligands from a Virtual Chemical Library. ACS Chemical Biology. 12(10). 2652–2661. 33 indexed citations
8.
Jaiteh, Mariama, Antoine Taly, & Jérôme Hénin. (2016). Evolution of Pentameric Ligand-Gated Ion Channels: Pro-Loop Receptors. PLoS ONE. 11(3). e0151934–e0151934. 81 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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2026