Jonas S. Mortensen

760 total citations
37 papers, 656 citations indexed

About

Jonas S. Mortensen is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Biomaterials. According to data from OpenAlex, Jonas S. Mortensen has authored 37 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 3 papers in Biomaterials. Recurrent topics in Jonas S. Mortensen's work include Receptor Mechanisms and Signaling (28 papers), Lipid Membrane Structure and Behavior (25 papers) and Protein Structure and Dynamics (12 papers). Jonas S. Mortensen is often cited by papers focused on Receptor Mechanisms and Signaling (28 papers), Lipid Membrane Structure and Behavior (25 papers) and Protein Structure and Dynamics (12 papers). Jonas S. Mortensen collaborates with scholars based in Denmark, United States and South Korea. Jonas S. Mortensen's co-authors include Claus J. Løland, Pil Seok Chae, Bernadette Byrne, Yang Du, Brian K. Kobilka, Lan Guan, Parameswaran Hariharan, Manabendra Das, Orquídea Ribeiro and Georgios Skiniotis and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Nature Communications.

In The Last Decade

Jonas S. Mortensen

34 papers receiving 653 citations

Peers

Jonas S. Mortensen
Yang Du Denmark
Shailika Nurva United States
Nina Hartrampf Switzerland
Patrick Durkin Germany
Roberto Favilla Italy
Joona Tynkkynen Finland
Lilach Vaks Israel
Yoav Atsmon‐Raz Israel
Fernando E. Herrera Argentina
Jacek Olczak Poland
Yang Du Denmark
Jonas S. Mortensen
Citations per year, relative to Jonas S. Mortensen Jonas S. Mortensen (= 1×) peers Yang Du

Countries citing papers authored by Jonas S. Mortensen

Since Specialization
Citations

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

Fields of papers citing papers by Jonas S. Mortensen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonas S. Mortensen. 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 Jonas S. Mortensen. The network helps show where Jonas S. Mortensen may publish in the future.

Co-authorship network of co-authors of Jonas S. Mortensen

This figure shows the co-authorship network connecting the top 25 collaborators of Jonas S. Mortensen. A scholar is included among the top collaborators of Jonas S. Mortensen 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 Jonas S. Mortensen. Jonas S. Mortensen 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.
Nielsen, Jørgen Feldbæk, et al.. (2024). Ingrown toenail. Ugeskrift for Læger. 186(39). 1–8.
2.
Mortensen, Jonas S., et al.. (2024). Ways of modulating GABA transporters to treat neurological disease. Expert Opinion on Therapeutic Targets. 28(7). 529–543. 5 indexed citations
3.
Du, Yang, Jonas S. Mortensen, Haoqing Wang, et al.. (2020). New Malonate-Derived Tetraglucoside Detergents for Membrane Protein Stability. ACS Chemical Biology. 15(6). 1697–1707. 15 indexed citations
4.
Das, Manabendra, Parameswaran Hariharan, Haoqing Wang, et al.. (2020). Diastereomeric Cyclopentane-Based Maltosides (CPMs) as Tools for Membrane Protein Study. Journal of the American Chemical Society. 142(51). 21382–21392. 13 indexed citations
5.
Das, Manabendra, Yang Du, Jonas S. Mortensen, et al.. (2019). Trehalose-cored amphiphiles for membrane protein stabilization: importance of the detergent micelle size in GPCR stability. Organic & Biomolecular Chemistry. 17(12). 3249–3257. 11 indexed citations
6.
Das, Manabendra, Yang Du, Jonas S. Mortensen, et al.. (2018). An Engineered Lithocholate‐Based Facial Amphiphile Stabilizes Membrane Proteins: Assessing the Impact of Detergent Customizability on Protein Stability. Chemistry - A European Journal. 24(39). 9860–9868. 18 indexed citations
7.
Das, Manabendra, Yang Du, Jonas S. Mortensen, et al.. (2018). Rationally Engineered Tandem Facial Amphiphiles for Improved Membrane Protein Stabilization Efficacy. ChemBioChem. 19(20). 2225–2232. 9 indexed citations
8.
Du, Yang, Jonas S. Mortensen, Parameswaran Hariharan, et al.. (2018). A comparative study of branched and linear mannitol-based amphiphiles on membrane protein stability. The Analyst. 143(23). 5702–5710. 6 indexed citations
9.
Du, Yang, Alpay B. Seven, Parameswaran Hariharan, et al.. (2018). Vitamin E-based glycoside amphiphiles for membrane protein structural studies. Organic & Biomolecular Chemistry. 16(14). 2489–2498. 8 indexed citations
10.
Du, Yang, Parameswaran Hariharan, Jonas S. Mortensen, et al.. (2018). Asymmetric maltose neopentyl glycol amphiphiles for a membrane protein study: effect of detergent asymmetricity on protein stability. Chemical Science. 10(4). 1107–1116. 30 indexed citations
11.
Das, Manabendra, Yang Du, Jonas S. Mortensen, et al.. (2018). Steroid‐Based Amphiphiles for Membrane Protein Study: The Importance of Alkyl Spacers for Protein Stability. ChemBioChem. 19(13). 1433–1443. 8 indexed citations
12.
Du, Yang, Parameswaran Hariharan, Jonas S. Mortensen, et al.. (2017). New penta-saccharide-bearing tripod amphiphiles for membrane protein structure studies. The Analyst. 142(20). 3889–3898. 11 indexed citations
13.
Mortensen, Jonas S., Yang Du, Orquídea Ribeiro, et al.. (2017). Tandem malonate-based glucosides (TMGs) for membrane protein structural studies. Scientific Reports. 7(1). 3963–3963. 13 indexed citations
14.
Du, Yang, Elena B. Tikhonova, Jonas S. Mortensen, et al.. (2017). Resorcinarene‐Based Facial Glycosides: Implication of Detergent Flexibility on Membrane‐Protein Stability. Chemistry - A European Journal. 23(28). 6724–6729. 24 indexed citations
15.
Du, Yang, Jonas S. Mortensen, Alpay B. Seven, et al.. (2017). Dendronic trimaltoside amphiphiles (DTMs) for membrane protein study. Chemical Science. 8(12). 8315–8324. 24 indexed citations
16.
Erlendsson, Simon, Kamil Gotfryd, Flemming H. Larsen, et al.. (2017). Direct assessment of substrate binding to the Neurotransmitter:Sodium Symporter LeuT by solid state NMR. eLife. 6. 12 indexed citations
17.
Cho, Kyung Ho, Orquídea Ribeiro, Yang Du, et al.. (2016). Mesitylene‐Cored Glucoside Amphiphiles (MGAs) for Membrane Protein Studies: Importance of Alkyl Chain Density in Detergent Efficacy. Chemistry - A European Journal. 22(52). 18833–18839. 19 indexed citations
18.
Du, Yang, Jonas S. Mortensen, Jeffrey Tarrasch, et al.. (2016). Accessible Mannitol‐Based Amphiphiles (MNAs) for Membrane Protein Solubilisation and Stabilisation. Chemistry - A European Journal. 22(21). 7068–7073. 45 indexed citations
19.
Das, Manabendra, Yang Du, Jonas S. Mortensen, et al.. (2016). Butane-1,2,3,4-tetraol-based amphiphilic stereoisomers for membrane protein study: importance of chirality in the linker region. Chemical Science. 8(2). 1169–1177. 17 indexed citations
20.
Cho, Kyung Ho, Parameswaran Hariharan, Jonas S. Mortensen, et al.. (2016). Isomeric Detergent Comparison for Membrane Protein Stability: Importance of Inter‐Alkyl‐Chain Distance and Alkyl Chain Length. ChemBioChem. 17(24). 2334–2339. 18 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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