Frank Matthes

992 total citations
34 papers, 707 citations indexed

About

Frank Matthes is a scholar working on Molecular Biology, Physiology and Epidemiology. According to data from OpenAlex, Frank Matthes has authored 34 papers receiving a total of 707 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 13 papers in Physiology and 7 papers in Epidemiology. Recurrent topics in Frank Matthes's work include Lysosomal Storage Disorders Research (9 papers), Sphingolipid Metabolism and Signaling (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). Frank Matthes is often cited by papers focused on Lysosomal Storage Disorders Research (9 papers), Sphingolipid Metabolism and Signaling (5 papers) and Neuroinflammation and Neurodegeneration Mechanisms (4 papers). Frank Matthes collaborates with scholars based in Germany, Sweden and United States. Frank Matthes's co-authors include Sybille Krauß, Ulrich Matzner, Volkmar Gieselmann, J. Fogh, Moritz M. Hettich, Dan Ehninger, Stephanie Weber, Rudi D’Hooge, Nadine Griesche and Susann Schweiger and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Frank Matthes

32 papers receiving 684 citations

Peers

Frank Matthes
Comparison fields: 5 of 72
  • Physiology 338
  • Molecular Biology 328
  • Epidemiology 140
  • Cellular and Molecular Neuroscience 90
  • Cell Biology 90
Replace Stephanie Oh with:
Stephanie Oh United States
Aleksandra Szybińska Poland
Urszula Wasik Poland
Nahuai Badiola Spain
Amos C. Hung Taiwan
Margarida Castro‐Caldas Portugal
Simon Cheung Canada
Motoki Fujimaki Japan
Esther Barth Germany
Ricardo J.S. Viana Portugal
Stephanie Oh United States View profile →
Citations per field, relative to Frank Matthes
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Citations per year, relative to Frank Matthes
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Countries citing papers authored by Frank Matthes

Since Specialization
Citations

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

Fields of papers citing papers by Frank Matthes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Frank Matthes

This figure shows the co-authorship network connecting the top 25 collaborators of Frank Matthes. A scholar is included among the top collaborators of Frank Matthes 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 Frank Matthes. Frank Matthes 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
# Work Indexed citations
1 0
2 4
3 3
4 2
5 3
6 23
7 6
8 18
9 38
10 60
11 74
12 21
13 73
14 40
15 51
16 23
17 18
18 30
19 19
20 14

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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