Per Larsen

460 total citations
10 papers, 352 citations indexed

About

Per Larsen is a scholar working on Molecular Biology, Physiology and Nephrology. According to data from OpenAlex, Per Larsen has authored 10 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Physiology and 2 papers in Nephrology. Recurrent topics in Per Larsen's work include Head and Neck Surgical Oncology (1 paper), Tuberous Sclerosis Complex Research (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). Per Larsen is often cited by papers focused on Head and Neck Surgical Oncology (1 paper), Tuberous Sclerosis Complex Research (1 paper) and SARS-CoV-2 and COVID-19 Research (1 paper). Per Larsen collaborates with scholars based in Netherlands, Canada and Austria. Per Larsen's co-authors include Loes M. Butter, Sandrine Florquin, Jaklien C. Leemans, Nike Claessen, Elena Rampanelli, Vladimir V. Matchkov, Nicole N. van der Wel, Coert J. Zuurbier, Stephen E. Girardin and Finn Skou Pedersen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

Per Larsen

10 papers receiving 344 citations

Peers

Per Larsen

IMMUN

PHYSI

NEPHR

GENET

Christopher J. Winters United States

Eun‐Hye Seo South Korea

Wânia Rezende Lima Brazil

Mohammad M. Al‐bataineh United States

Diego G. Ogando United States

Marjolein Turkenburg Netherlands

Lv Zhou China

Péter K. Jani Germany

Chanchan Bao China

Christopher J. Winters United States

Per Larsen

350 ×1.8

56 ×0.8

IMMUN

70 ×1.1

PHYSI

26 ×0.6

NEPHR

74 ×1.8

GENET

Citations per year, relative to Per Larsen Per Larsen (= 1×) peers Christopher J. Winters

Countries citing papers authored by Per Larsen

Since Specialization

Citations

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

Fields of papers citing papers by Per Larsen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Per Larsen

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

All Works

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10 of 10 papers shown

Grootemaat, Anita E., Eva Roos, Bernadette Schurink, et al.. (2022). Lipid and Nucleocapsid N-Protein Accumulation in COVID-19 Patient Lung and Infected Cells. Microbiology Spectrum. 10(1). e0127121–e0127121. 16 indexed citations

Gruber, Victoria‐Elisabeth, Verena Endmayr, Sarah Glatter, et al.. (2021). Impaired myelin production due to an intrinsic failure of oligodendrocytes in mTORpathies. Neuropathology and Applied Neurobiology. 47(6). 812–825. 22 indexed citations

Aten, Jan, André R. A. Marques, Per Larsen, et al.. (2021). GCase and LIMP2 Abnormalities in the Liver of Niemann Pick Type C Mice. International Journal of Molecular Sciences. 22(5). 2532–2532. 35 indexed citations

Wenzel, Michaela, Yongqiang Gao, Joost Willemse, et al.. (2020). Control of septum thickness by the curvature of SepF polymers. Proceedings of the National Academy of Sciences. 118(2). 19 indexed citations

Butter, Loes M., et al.. (2020). Platelet inhibition by ticagrelor is protective against diabetic nephropathy in mice. The FASEB Journal. 34(10). 13750–13761. 10 indexed citations

Butter, Loes M., Per Larsen, Onno J. de Boer, et al.. (2018). Combining streptozotocin and unilateral nephrectomy is an effective method for inducing experimental diabetic nephropathy in the ‘resistant’ C57Bl/6J mouse strain. Scientific Reports. 8(1). 5542–5542. 48 indexed citations

Kors, Lotte, Elena Rampanelli, Geurt Stokman, et al.. (2018). Deletion of NLRX1 increases fatty acid metabolism and prevents diet-induced hepatic steatosis and metabolic syndrome. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1864(5). 1883–1895. 24 indexed citations

Stokman, Geurt, Lotte Kors, Elena Rampanelli, et al.. (2017). NLRX1 dampens oxidative stress and apoptosis in tissue injury via control of mitochondrial activity. The Journal of Experimental Medicine. 214(8). 2405–2420. 91 indexed citations

Matchkov, Vladimir V., Per Larsen, Elena V. Bouzinova, et al.. (2008). Bestrophin-3 (Vitelliform Macular Dystrophy 2–Like 3 Protein) Is Essential for the cGMP-Dependent Calcium-Activated Chloride Conductance in Vascular Smooth Muscle Cells. Circulation Research. 103(8). 864–872. 73 indexed citations

10.

Zipursky, Alvin, Marlene Stephens, Elizabeth Brown, & Per Larsen. (1974). Sulfhydryl Groups of the Erythrocyte Membrane and their Relation to Glycolysis and Drug-Induced Hemolytic Anemia. Journal of Clinical Investigation. 53(3). 805–812. 14 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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