Alexander Kvist

1.0k total citations · 1 hit paper
15 papers, 741 citations indexed

About

Alexander Kvist is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Alexander Kvist has authored 15 papers receiving a total of 741 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Alexander Kvist's work include Balance, Gait, and Falls Prevention (3 papers), Optical Imaging and Spectroscopy Techniques (3 papers) and BRCA gene mutations in cancer (2 papers). Alexander Kvist is often cited by papers focused on Balance, Gait, and Falls Prevention (3 papers), Optical Imaging and Spectroscopy Techniques (3 papers) and BRCA gene mutations in cancer (2 papers). Alexander Kvist collaborates with scholars based in Sweden, United Kingdom and United States. Alexander Kvist's co-authors include Aurel Rădulescu, Xiaoqiu Wu, Stefano Bartesaghi, Aleksandra P. Dabkowska, Tomas Kjellman, Marianna Yanez Arteta, Noemi Szekély, Lennart Lindfors, Johan Bergenholtz and Simonetta Wallin and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Cancer Research.

In The Last Decade

Alexander Kvist

15 papers receiving 727 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Successful reprogramming of cellular protein production through mRNA delivered by functionalized lipid nanoparticles

2018 404 citations Marianna Yanez Arteta, Tomas Kjellman et al. Proceedings of the National Academy of Sciences profile →

Peers

Alexander Kvist

GENET

RHEUM

Miguel Cavadas Ireland

Irina Perdivara United States

Aruna Ramachandran United States

Vladka Čurin Šerbec Slovenia

Tatsuya Inui Japan

Andrew Wang United States

Chunxiao Wu China

Simon Staubach Germany

Mo Zhou China

Christopher Campbell United States

Miguel Cavadas Ireland

Alexander Kvist

507 ×1.0

121 ×1.1

GENET

47 ×0.4

14 ×0.2

RHEUM

71 ×0.9

Citations per year, relative to Alexander Kvist Alexander Kvist (= 1×) peers Miguel Cavadas

Countries citing papers authored by Alexander Kvist

Since Specialization

Citations

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

Fields of papers citing papers by Alexander Kvist

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexander Kvist

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

All Works

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15 of 15 papers shown

Albrecht, Franziska, Alexander Kvist, & Erika Franzén. (2025). Resting-state functional near-infrared spectroscopy in neurodegenerative diseases – A systematic review. NeuroImage Clinical. 45. 103733–103733. 2 indexed citations

Kvist, Alexander, et al.. (2024). Validation of fNIRS measurement of executive demand during walking with and without dual-task in younger and older adults and people with Parkinson’s disease. NeuroImage Clinical. 43. 103637–103637. 4 indexed citations

Kvist, Alexander, Hanna Johansson, Franziska Albrecht, et al.. (2023). Using functional near‐infrared spectroscopy to measure prefrontal cortex activity during dual‐task walking and navigated walking: A feasibility study. Brain and Behavior. 13(4). e2948–e2948. 9 indexed citations

Kvist, Alexander, et al.. (2023). Validation of algorithms for calculating spatiotemporal gait parameters during continuous turning using lumbar and foot mounted inertial measurement units. Journal of Biomechanics. 162. 111907–111907. 6 indexed citations

Kvist, Alexander, Kajsa P. Kanebratt, Anna Walentinsson, et al.. (2018). Critical differences in drug metabolic properties of human hepatic cellular models, including primary human hepatocytes, stem cell derived hepatocytes, and hepatoma cell lines. Biochemical Pharmacology. 155. 124–140. 45 indexed citations

Kvist, Alexander. (2018). Identifying Pathogenic Amino Acid Substitutions in Human Proteins Using Deep Learning. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1 indexed citations

Arteta, Marianna Yanez, Tomas Kjellman, Stefano Bartesaghi, et al.. (2018). Successful reprogramming of cellular protein production through mRNA delivered by functionalized lipid nanoparticles. Proceedings of the National Academy of Sciences. 115(15). E3351–E3360. 404 indexed citations breakdown →

Li, Jingmei, Mikael Eriksson, Alexander Kvist, et al.. (2018). Abstract P4-06-13: BRCA1/2 mutations identified by screening a large unselected breast cancer cohort in Sweden. Cancer Research. 78(4_Supplement). P4–6. 1 indexed citations

Kvist, Alexander, et al.. (2017). 3D-Models of Insulin-Producing β-Cells: from Primary Islet Cells to Stem Cell-Derived Islets. Stem Cell Reviews and Reports. 14(2). 177–188. 15 indexed citations

10.

Drowley, Lauren, Anneli Nordqvist, Elke Ericson, et al.. (2016). Phenotypic Screen for Cardiac Regeneration Identifies Molecules with Differential Activity in Human Epicardium-Derived Cells versus Cardiac Fibroblasts. ACS Chemical Biology. 12(1). 132–141. 12 indexed citations

11.

Marsden, Catherine J., et al.. (2014). The Use of Antibodies in Small-Molecule Drug Discovery. SLAS DISCOVERY. 19(6). 829–838. 12 indexed citations

12.

Dearden, Simon, Chris Harbron, Darren Hodgson, et al.. (2013). Validation of the BRCA1 antibody MS110 and the utility of BRCA1 as a patient selection biomarker in immunohistochemical analysis of breast and ovarian tumours. Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin. 462(3). 269–279. 20 indexed citations

13.

Wu, Di, Harald Lund, Dan Sunnemark, et al.. (2013). Elevated MARK2-Dependent Phosphorylation of Tau in Alzheimer's Disease. Journal of Alzheimer s Disease. 33(3). 699–713. 44 indexed citations

14.

Kvist, Alexander, Alexander Nyström, Kjell Hultenby, et al.. (2007). The major basement membrane components localize to the chondrocyte pericellular matrix — A cartilage basement membrane equivalent?. Matrix Biology. 27(1). 22–33. 80 indexed citations

15.

Kvist, Alexander, Anna E. Johnson, Matthias Mörgelin, et al.. (2006). Chondroitin Sulfate Perlecan Enhances Collagen Fibril Formation. Journal of Biological Chemistry. 281(44). 33127–33139. 86 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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