Mathias J. Gerl

5.6k citations
44 papers · 3.6k indexed · 2 hit papers · h-index 25
Topics
Metabolomics and Mass Spectrometry Studies (15 papers)Lipid Membrane Structure and Behavior (10 papers)Cellular transport and secretion (8 papers)

In The Last Decade

Mathias J. Gerl

43 papers receiving 3.6k citations

Hit Papers

Revitalizing membrane rafts: new tools and insights201020262015202020102023250500750

Peers

Mathias J. Gerl
Comparison fields: 5 of 135
  • Molecular Biology 2.7k
  • Cell Biology 903
  • Physiology 539
  • Biochemistry 321
  • Epidemiology 320
Replace Maojun Yang with:
Maojun Yang China
Mischa Machius United States
Hisaaki Taniguchi Japan
Arun Radhakrishnan United States
Júlio L. Sampaio Germany
Isabelle Landrieu France
Kevin R. MacKenzie United States
Sew‐Yeu Peak‐Chew United Kingdom
Gorka Basáñez Spain
Robert Schwarzenbacher United States
Mathias J. Gerl relative to Maojun Yang China Maojun Yang's profile →
Citations per field
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Maojun Yang · 1×
Citations per year

Countries citing papers authored by Mathias J. Gerl

Since Specialization
Citations

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

Fields of papers citing papers by Mathias J. Gerl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mathias J. Gerl. 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 Mathias J. Gerl. The network helps show where Mathias J. Gerl may publish in the future.

Co-authorship network of co-authors of Mathias J. Gerl

This figure shows the co-authorship network connecting the top 25 collaborators of Mathias J. Gerl. A scholar is included among the top collaborators of Mathias J. Gerl 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 Mathias J. Gerl. Mathias J. Gerl 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
#WorkIndexed citations
1 0
2 1
3 1
4 38
5 29
6 15
7 11
8 5
9 54
10 15
11 52
12 62
13 18
14 38
15 218
16 232
17
Revitalizing membrane rafts: new tools and insightsbreakdown →
994
18 316
19 5
20 103

About Mathias J. Gerl

Mathias J. Gerl is a scholar working on Cell Biology, Molecular Biology and Endocrine and Autonomic Systems, having authored 44 papers that have together received 3.6k indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (15 papers), Lipid Membrane Structure and Behavior (10 papers) and Cellular transport and secretion (8 papers). The work is most often cited by research in Cell Biology (903 citations), Biochemistry (321 citations) and Molecular Biology (2.7k citations). Mathias J. Gerl has collaborated with scholars based in Germany, United States and Finland. Frequent co-authors include Kai Simons, Christian Klose, Andrej Shevchenko, Júlio L. Sampaio, Michał A. Surma, Christer S. Ejsing, Hartmut Beug, Britta Brügger, Felix Meyenhofer and Charles Ferguson. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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