Marion M. Brands

53 total papers · 776 total citations
34 papers, 432 citations indexed

About

Marion M. Brands is a scholar working on Physiology, Molecular Biology and Rheumatology. According to data from OpenAlex, Marion M. Brands has authored 34 papers receiving a total of 432 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Physiology, 14 papers in Molecular Biology and 6 papers in Rheumatology. Recurrent topics in Marion M. Brands's work include Lysosomal Storage Disorders Research (17 papers), Trypanosoma species research and implications (5 papers) and Autism Spectrum Disorder Research (5 papers). Marion M. Brands is often cited by papers focused on Lysosomal Storage Disorders Research (17 papers), Trypanosoma species research and implications (5 papers) and Autism Spectrum Disorder Research (5 papers). Marion M. Brands collaborates with scholars based in Netherlands, Canada and United States. Marion M. Brands's co-authors include Ans T. van der Ploeg, Esmée Oussoren, George J. G. Ruijter, Arnold Reuser, Wim C.J. Hop, Judith M. Deckers‐Kocken, Iris Plug, Ingrid M.E. Frohn-Mulder, Willem A. Helbing and Frits A. Wijburg and has published in prestigious journals such as Neurology, Progress in Retinal and Eye Research and Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease.

In The Last Decade

Marion M. Brands

31 papers receiving 424 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Marion M. Brands 270 119 89 86 56 34 432
Susanne Gerit Kircher 212 0.8× 116 1.0× 79 0.9× 107 1.2× 39 0.7× 48 411
Luis González Gutiérrez-Solana 193 0.7× 96 0.8× 154 1.7× 68 0.8× 70 1.3× 58 454
Eugen Mengel 425 1.6× 130 1.1× 142 1.6× 98 1.1× 47 0.8× 21 478
Kyle Rudser 362 1.3× 154 1.3× 40 0.4× 92 1.1× 77 1.4× 38 458
Shio Jean Lin 185 0.7× 103 0.9× 86 1.0× 60 0.7× 26 0.5× 25 417
Elisabeth Jameson 183 0.7× 88 0.7× 121 1.4× 93 1.1× 42 0.8× 22 400
Hana Vlášková 272 1.0× 96 0.8× 178 2.0× 119 1.4× 28 0.5× 27 477
Taiane Alves Vieira 373 1.4× 178 1.5× 37 0.4× 152 1.8× 44 0.8× 19 444
Radka Tincheva 174 0.6× 125 1.1× 67 0.8× 74 0.9× 34 0.6× 17 482
Roberta Taurisano 255 0.9× 72 0.6× 171 1.9× 107 1.2× 32 0.6× 28 495

Countries citing papers authored by Marion M. Brands

Since Specialization
Citations

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

Fields of papers citing papers by Marion M. Brands

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marion M. Brands. 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 Marion M. Brands. The network helps show where Marion M. Brands may publish in the future.

Co-authorship network of co-authors of Marion M. Brands

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

All Works

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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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