Till Matzat

627 total citations
12 papers, 406 citations indexed

About

Till Matzat is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology and Cell Biology. According to data from OpenAlex, Till Matzat has authored 12 papers receiving a total of 406 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Cellular and Molecular Neuroscience, 5 papers in Molecular Biology and 5 papers in Cell Biology. Recurrent topics in Till Matzat's work include Neurobiology and Insect Physiology Research (7 papers), Cellular Mechanics and Interactions (3 papers) and Cellular transport and secretion (2 papers). Till Matzat is often cited by papers focused on Neurobiology and Insect Physiology Research (7 papers), Cellular Mechanics and Interactions (3 papers) and Cellular transport and secretion (2 papers). Till Matzat collaborates with scholars based in Germany, Canada and France. Till Matzat's co-authors include Christian Klämbt, Rita Kottmeier, Stefan Luschnig, Simone D. Castellarin, Sofia Sasse, Felix Babatz, Changzheng Song, Ljerka Kunst, Tegan M. Haslam and Frank Schnorrer and has published in prestigious journals such as Nature Communications, Journal of Neuroscience and Development.

In The Last Decade

Till Matzat

12 papers receiving 390 citations

Peers

Till Matzat
Comparison fields: 5 of 68
  • Molecular Biology 190
  • Cellular and Molecular Neuroscience 165
  • Cell Biology 121
  • Plant Science 88
  • Immunology 46
Replace Rie Takayama with:
Rie Takayama Japan
Andrew Taibi United States
Rita Kottmeier Germany
Takako Kaneko‐Kawano Japan
Joel M. Rawson United States
Carl Sung United States
Arish N Shah United States
Vilaiwan M. Fernandes United States
Shaul Yogev United States
Nele A Haelterman United States
Rie Takayama Japan View profile →
Citations per field, relative to Till Matzat
Till Matzat · 1×
Citations per year, relative to Till Matzat
Till Matzat · 1×

Countries citing papers authored by Till Matzat

Since Specialization
Citations

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

Fields of papers citing papers by Till Matzat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Till Matzat

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

All Works

12 of 12 papers shown
# Work Indexed citations
1 2
2 2
3 43
4 66
5 17
6 35
7 40
8 18
9 62
10 30
11 63
12 28

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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2026