Matthias Eckhardt

5.2k citations
81 papers · 4.5k · h-index 38

Impact in

Papers in

    • Glycosylation and Glycoproteins Research 21
    • Sphingolipid Metabolism and Signaling 18
    • Lysosomal Storage Disorders Research 14

Matthias Eckhardt

78 papers receiving 4.4k citations

Peers

Matthias Eckhardt
Comparison fields: 5 of 98
  • Developmental Neuroscience 267
  • Molecular Biology 2.5k
  • Clinical Biochemistry 149
  • Cellular and Molecular Neuroscience 423
  • Biochemistry 140
Replace Petri Kursula with:
Petri Kursula Finland
Jacques Baudier France
Volkmar Gieselmann Germany
Avtar Roopra United States
Elena I. Rugarli Germany
Kazuhiro Ogata Japan
G. Schütz Germany
Miles Wilkinson United States
Juan A. Osés-Prieto United States
Yoshito Kaziro Japan
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Citations per field
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Petri Kursula · 1×
Citations per year

Countries citing papers authored by Matthias Eckhardt

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Eckhardt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Matthias Eckhardt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matthias Eckhardt Line = papers co-authored together Matthias Eckhardt links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 81 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001292
2 2000277
3 1995259
4 2009258
5 2010170
6 2008164
7 2008154
8 1998151
9 1996144
10 2012121
11 1998116
12 2005115
13 2000111
14 1998100
15 199999
16 199697
17 200793
18 200776
19 201375
20 199571

About Matthias Eckhardt

Matthias Eckhardt is a scholar working on Molecular Biology, Physiology, Biochemistry, Cellular and Molecular Neuroscience and Developmental Neuroscience, having authored 81 papers that have together received 4.5k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (21 papers), Sphingolipid Metabolism and Signaling (18 papers), Lysosomal Storage Disorders Research (14 papers), Amino Acid Enzymes and Metabolism (5 papers), Neurogenesis and neuroplasticity mechanisms (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Hereditary Neurological Disorders (3 papers) and Lipid metabolism and biosynthesis (3 papers). The work is most often cited by research in Developmental Neuroscience (267 citations), Molecular Biology (2.5k citations), Clinical Biochemistry (149 citations), Cellular and Molecular Neuroscience (423 citations) and Biochemistry (140 citations). Matthias Eckhardt has collaborated with scholars based in Germany, United States and France. Frequent co-authors include Rita Gerardy‐Schahn, Volkmar Gieselmann, Martina Mühlenhoff, Andrea Bethe, Matthias Frosch, Dieter Hartmann, Simon Ngamli Fewou, Kerstin Lühn, Dietmar Vestweber and Martin K. Wild. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal, Journal of Neuroscience, Glycobiology and Journal of Neurochemistry.

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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