Mathias Schäfer

11.1k total citations · 1 hit paper
227 papers, 7.9k citations indexed

About

Mathias Schäfer is a scholar working on Molecular Biology, Spectroscopy and Aerospace Engineering. According to data from OpenAlex, Mathias Schäfer has authored 227 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Molecular Biology, 63 papers in Spectroscopy and 31 papers in Aerospace Engineering. Recurrent topics in Mathias Schäfer's work include Mass Spectrometry Techniques and Applications (56 papers), Analytical Chemistry and Chromatography (34 papers) and Air Traffic Management and Optimization (27 papers). Mathias Schäfer is often cited by papers focused on Mass Spectrometry Techniques and Applications (56 papers), Analytical Chemistry and Chromatography (34 papers) and Air Traffic Management and Optimization (27 papers). Mathias Schäfer collaborates with scholars based in Germany, Switzerland and United Kingdom. Mathias Schäfer's co-authors include Sabine Werner, Vincent Lenders, Martin Strohmeier, Ivan Martinović, Andrea Sinz, H. Budzikiewicz, Christian Ihling, Matthias Wilhelm, Frank Dreiocker and Michael Götze and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Angewandte Chemie International Edition.

In The Last Decade

Mathias Schäfer

214 papers receiving 7.8k citations

Hit Papers

Cancer as an overhealing wound: an old hypothesis revisited 2008 2026 2014 2020 2008 200 400 600

Peers

Mathias Schäfer
Comparison fields: 5 of 187
  • Molecular Biology 3.0k
  • Spectroscopy 1.1k
  • Aerospace Engineering 851
  • Immunology 808
  • Dermatology 785
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Citations per field, relative to Mathias Schäfer
Mathias Schäfer · 1×
Citations per year, relative to Mathias Schäfer
Mathias Schäfer · 1×

Countries citing papers authored by Mathias Schäfer

Since Specialization
Citations

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

Fields of papers citing papers by Mathias Schäfer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mathias Schäfer

This figure shows the co-authorship network connecting the top 25 collaborators of Mathias Schäfer. A scholar is included among the top collaborators of Mathias Schäfer 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 Schäfer. Mathias Schäfer 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 1
2 2
3 0
4 0
5 6
6 5
7 21
8 9
9 13
10 15
11 19
12 42
13 137
14 15
15 13
16 197
17 1
18 7
19 46
20 10

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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