Håkan Muyderman

1.5k total citations · 1 hit paper
24 papers, 1.2k citations indexed

About

Håkan Muyderman is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Håkan Muyderman has authored 24 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 6 papers in Cellular and Molecular Neuroscience and 4 papers in Neurology. Recurrent topics in Håkan Muyderman's work include Neuroscience and Neuropharmacology Research (6 papers), Connexins and lens biology (4 papers) and Amyotrophic Lateral Sclerosis Research (4 papers). Håkan Muyderman is often cited by papers focused on Neuroscience and Neuropharmacology Research (6 papers), Connexins and lens biology (4 papers) and Amyotrophic Lateral Sclerosis Research (4 papers). Håkan Muyderman collaborates with scholars based in Australia, Sweden and Japan. Håkan Muyderman's co-authors include Neil R. Sims, Michael Nilsson, Elisabeth Hansson, Fredrik Blomstrand, Lars Rönnbäck, Thomas Olsson, Torsten Olsson, Robert A. Rush, Tim Chataway and Mary‐Louise Rogers and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and Journal of Neurophysiology.

In The Last Decade

Håkan Muyderman

24 papers receiving 1.2k citations

Hit Papers

Mitochondria, oxidative metabolism and cell death in stroke 2009 2026 2014 2020 2009 100 200 300 400 500
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.

  1. Mitochondria, oxidative metabolism and cell death in stroke
    2009 522 citations Neil R. Sims, Håkan Muyderman Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease profile →

Peers

Håkan Muyderman
Nathalie Bertrand France
Jingqi Yan United States
Jenq‐Lin Yang Taiwan
Robert D. Azbill United States
Mónica Sobrado Spain
Olivier Pétrault France
Xibin Liang United States
Luigi Formisano Italy
Fabrício Simão Brazil
Cecilie Morland Norway
Nathalie Bertrand France
Håkan Muyderman
Citations per year, relative to Håkan Muyderman Håkan Muyderman (= 1×) peers Nathalie Bertrand

Countries citing papers authored by Håkan Muyderman

Since Specialization
Citations

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

Fields of papers citing papers by Håkan Muyderman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Håkan Muyderman

This figure shows the co-authorship network connecting the top 25 collaborators of Håkan Muyderman. A scholar is included among the top collaborators of Håkan Muyderman 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 Håkan Muyderman. Håkan Muyderman 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
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Barton, Samantha K., Chew L. Lau, Doris Tomas, et al.. (2020). Mutant TDP-43 Expression Triggers TDP-43 Pathology and Cell Autonomous Effects on Primary Astrocytes: Implications for Non-cell Autonomous Pathology in ALS. Neurochemical Research. 45(6). 1451–1459. 10 indexed citations
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Chen, Tong, et al.. (2017). Glutathione monoethyl ester prevents TDP-43 pathology in motor neuronal NSC-34 cells. Neurochemistry International. 112. 278–287. 13 indexed citations
5.
Rogers, Mary‐Louise, Michael Nilsson, Yoshinobu Nakanishi, et al.. (2014). Selective transfection of microglia in the brain using an antibody-based non-viral vector. Brain Research. 1586. 12–22. 2 indexed citations
6.
Muyderman, Håkan, et al.. (2012). The mitochondrial T1095C mutation increases gentamicin-mediated apoptosis. Mitochondrion. 12(4). 465–471. 17 indexed citations
7.
Sims, Neil R., et al.. (2010). Connexin 43 regulates astrocytic migration and proliferation in response to injury. Neuroscience Letters. 486(3). 197–201. 37 indexed citations
8.
Muyderman, Håkan, et al.. (2010). Astrocytic Responses to DNA Delivery Using Nucleofection. Neurochemical Research. 35(11). 1771–1779. 4 indexed citations
9.
Rogers, Mary‐Louise, Dusan Matusica, I. Nicholson, et al.. (2010). ProNGF mediates death of Natural Killer cells through activation of the p75NTR–sortilin complex. Journal of Neuroimmunology. 226(1-2). 93–103. 36 indexed citations
10.
Sims, Neil R. & Håkan Muyderman. (2009). Mitochondria, oxidative metabolism and cell death in stroke. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1802(1). 80–91. 522 indexed citations breakdown →
11.
Muyderman, Håkan, et al.. (2009). The Human G93A-Superoxide Dismutase-1 Mutation, Mitochondrial Glutathione and Apoptotic Cell Death. Neurochemical Research. 34(10). 1847–1856. 23 indexed citations
12.
Muyderman, Håkan, et al.. (2009). Mitochondrial glutathione uptake: characterization in isolated brain mitochondria and astrocytes in culture. Journal of Neurochemistry. 109(s1). 101–108. 31 indexed citations
13.
Muyderman, Håkan, et al.. (2007). Mitochondrial glutathione protects against cell death induced by oxidative and nitrative stress in astrocytes. Journal of Neurochemistry. 102(4). 1369–1382. 41 indexed citations
14.
Sims, Neil R., Michael Nilsson, & Håkan Muyderman. (2004). Mitochondrial Glutathione: A Modulator of Brain Cell Death. Journal of Bioenergetics and Biomembranes. 36(4). 329–333. 67 indexed citations
15.
Muyderman, Håkan, Michael Nilsson, & Neil R. Sims. (2004). Highly Selective and Prolonged Depletion of Mitochondrial Glutathione in Astrocytes Markedly Increases Sensitivity to Peroxynitrite. Journal of Neuroscience. 24(37). 8019–8028. 77 indexed citations
16.
Muyderman, Håkan, Mikael Ängehagen, Mats Sandberg, et al.. (2001). α1-Adrenergic Modulation of Metabotropic Glutamate Receptor-induced Calcium Oscillations and Glutamate Release in Astrocytes. Journal of Biological Chemistry. 276(49). 46504–46514. 37 indexed citations
17.
Muyderman, Håkan, Jon Sinclair, Kent Jardemark, Elisabeth Hansson, & Michael Nilsson. (2001). Activation of β-adrenoceptors opens calcium-activated potassium channels in astroglial cells. Neurochemistry International. 38(3). 269–276. 14 indexed citations
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Muyderman, Håkan, et al.. (1998). Modulation of mechanically induced calcium waves in hippocampal astroglial cells. Inhibitory effects of α1-adrenergic stimulation. Brain Research. 793(1-2). 127–135. 24 indexed citations
20.
Muyderman, Håkan, et al.. (1997). Adrenoceptor-induced changes of intracellular K+ and Ca2+ in astrocytes and neurons in rat cortical primary cultures. Neuroscience Letters. 238(1-2). 33–36. 12 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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