Linda Sundström

825 total citations
9 papers, 340 citations indexed

About

Linda Sundström is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Hematology. According to data from OpenAlex, Linda Sundström has authored 9 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Cellular and Molecular Neuroscience and 2 papers in Hematology. Recurrent topics in Linda Sundström's work include Receptor Mechanisms and Signaling (4 papers), RNA Interference and Gene Delivery (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Linda Sundström is often cited by papers focused on Receptor Mechanisms and Signaling (4 papers), RNA Interference and Gene Delivery (3 papers) and Advanced biosensing and bioanalysis techniques (3 papers). Linda Sundström collaborates with scholars based in Sweden, United Kingdom and Japan. Linda Sundström's co-authors include S Larsson, Leif J. Jönsson, Peter J. Greasley, Johan Meuller, Erik Ryberg, Shalini Andersson, Rasmus Jansson‐Löfmark, Ingela Ahlstedt, Carina Ämmälä and William J. Drury and has published in prestigious journals such as PLoS ONE, FEBS Letters and Science Advances.

In The Last Decade

Linda Sundström

8 papers receiving 334 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Linda Sundström Sweden	8	246	52	43	37	34	9	340
Yuzhe Shi United States	8	242 1.0×	87 1.7×	26 0.6×	35 0.9×	29 0.9×	9	375
Marianne Depreter Belgium	10	205 0.8×	57 1.1×	25 0.6×	20 0.5×	56 1.6×	19	340
Cindy Zer United States	8	306 1.2×	47 0.9×	11 0.3×	38 1.0×	34 1.0×	12	415
Asmita Bhattacharya United States	7	121 0.5×	78 1.5×	18 0.4×	36 1.0×	44 1.3×	12	342
Tia Hirvonen Finland	7	197 0.8×	55 1.1×	17 0.4×	25 0.7×	44 1.3×	9	350
Mona A. Marie United States	9	156 0.6×	43 0.8×	16 0.4×	31 0.8×	19 0.6×	12	334
Arja M. Band Finland	12	269 1.1×	63 1.2×	44 1.0×	53 1.4×	45 1.3×	16	440
Foued Ghanjati Germany	10	279 1.1×	38 0.7×	8 0.2×	41 1.1×	40 1.2×	13	370
Kimberly J. Curtis United States	9	115 0.5×	38 0.7×	16 0.4×	27 0.7×	28 0.8×	13	320
Uwe Andag Germany	7	382 1.6×	93 1.8×	123 2.9×	49 1.3×	42 1.2×	15	554

Countries citing papers authored by Linda Sundström

Since Specialization

Citations

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

Fields of papers citing papers by Linda Sundström

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Linda Sundström

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

All Works

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9 of 9 papers shown

Halloy, François, Annabelle Biscans, Katherine E. Bujold, et al.. (2022). Innovative developments and emerging technologies in RNA therapeutics. RNA Biology. 19(1). 313–332. 33 indexed citations

Halloy, François, Annabelle Biscans, Alexandre J. Debacker, et al.. (2022). Innovative developments and emerging technologies in RNA therapeutics. Zenodo (CERN European Organization for Nuclear Research).

Sundström, Linda, Stefan Geschwindner, Yuhong Jiang, et al.. (2020). Protease-activated receptor-2 ligands reveal orthosteric and allosteric mechanisms of receptor inhibition. Communications Biology. 3(1). 782–782. 29 indexed citations

Sundström, Linda, et al.. (2020). Is GPR146 really the receptor for proinsulin C-peptide?. Bioorganic & Medicinal Chemistry Letters. 30(13). 127208–127208. 17 indexed citations

Ballante, Flavio, Johan R. Johansson, Graeme Milligan, et al.. (2018). Structural Characterization of Agonist Binding to Protease-Activated Receptor 2 through Mutagenesis and Computational Modeling. ACS Pharmacology & Translational Science. 1(2). 119–133. 12 indexed citations

Ämmälä, Carina, William J. Drury, Laurent Knerr, et al.. (2018). Targeted delivery of antisense oligonucleotides to pancreatic β-cells. Science Advances. 4(10). eaat3386–eaat3386. 127 indexed citations

Sundström, Linda, Monika Sundqvist, Andrea Ahnmark, et al.. (2017). The acute glucose lowering effect of specific GPR120 activation in mice is mainly driven by glucagon-like peptide 1. PLoS ONE. 12(12). e0189060–e0189060. 41 indexed citations

Sundström, Linda, et al.. (2013). Succinate receptor GPR91, a Gα _i coupled receptor that increases intracellular calcium concentrations through PLCβ. FEBS Letters. 587(15). 2399–2404. 45 indexed citations

Sundström, Linda, S Larsson, & Leif J. Jönsson. (2009). Identification of Saccharomyces cerevisiae Genes Involved in the Resistance to Phenolic Fermentation Inhibitors. Applied Biochemistry and Biotechnology. 161(1-8). 106–115. 36 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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