Ulrich Matzner

1.6k citations
42 papers · 1.3k indexed · h-index 24
  • Physiology top 2%
    • Lysosomal Storage Disorders Research 33
    • Calcium signaling and nucleotide metabolism 6
  • Physiology top 2%
    • Lysosomal Storage Disorders Research 33
    • Calcium signaling and nucleotide metabolism 6
    • Cellular transport and secretion 12
  • Neurology top 10%
    • Neuroinflammation and Neurodegeneration Mechanisms 4
  • Epidemiology top 10%
    • Trypanosoma species research and implications 14
    • Cytomegalovirus and herpesvirus research 3
    • Carbohydrate Chemistry and Synthesis 9
    • Growth Hormone and Insulin-like Growth Factors 3

Ulrich Matzner

40 papers receiving 1.2k citations

Peers

Ulrich Matzner
Comparison fields: 5 of 78
  • Physiology 187
  • Physiology 822
  • Cell Biology 334
  • Neurology 105
  • Epidemiology 313
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Citations per year

Countries citing papers authored by Ulrich Matzner

Since Specialization
Citations

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

Fields of papers citing papers by Ulrich Matzner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Ulrich Matzner, 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 Ulrich Matzner Line = papers co-authored together Ulrich Matzner links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20236
2 20212
3 201733
4 201541
5
Effect of 20-hydroxyecdysone on synthesis and uptake of arylphorin by the larval fat body of Calliphora vicina (Diptera: Calliphoridae)
20131
6 20129
7 201240
8 201151
9 201123
10 200916
11 200830
12 200719
13 20062
14 20057
15 2005117
16 200025
17 200053
18 199530
19 19928
20
Ecdysteroid induced reabsorption of calliphorin from the hemolymph by fat bodies of calliphora vicina prepupae
19892

About Ulrich Matzner

Ulrich Matzner is a scholar working on Physiology, Physiology and Cell Biology, having authored 42 papers that have together received 1.3k indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (33 papers), Trypanosoma species research and implications (14 papers), Cellular transport and secretion (12 papers), Carbohydrate Chemistry and Synthesis (9 papers), Calcium signaling and nucleotide metabolism (6 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Growth Hormone and Insulin-like Growth Factors (3 papers) and Cytomegalovirus and herpesvirus research (3 papers). The work is most often cited by research in Physiology (187 citations), Physiology (822 citations) and Cell Biology (334 citations). Ulrich Matzner has collaborated with scholars based in Germany, Belgium and United States. Frequent co-authors include Volkmar Gieselmann, Rudi D’Hooge, J. Fogh, Kurt Von Figura, Renate Lüllmann‐Rauch, Regina Pohlmann, Frank Matthes, Dieter Hartmann, Stijn Stroobants and Thomas Braulke. Their work appears in journals such as Journal of Biological Chemistry, Journal of Neuroscience and The EMBO Journal.

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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