Martin Mascher

27.3k total citations · 2 hit papers
120 papers, 5.7k citations indexed

About

Martin Mascher is a scholar working on Plant Science, Molecular Biology and Genetics. According to data from OpenAlex, Martin Mascher has authored 120 papers receiving a total of 5.7k indexed citations (citations by other indexed papers that have themselves been cited), including 109 papers in Plant Science, 53 papers in Molecular Biology and 36 papers in Genetics. Recurrent topics in Martin Mascher's work include Wheat and Barley Genetics and Pathology (64 papers), Plant Disease Resistance and Genetics (39 papers) and Chromosomal and Genetic Variations (38 papers). Martin Mascher is often cited by papers focused on Wheat and Barley Genetics and Pathology (64 papers), Plant Disease Resistance and Genetics (39 papers) and Chromosomal and Genetic Variations (38 papers). Martin Mascher collaborates with scholars based in Germany, United States and United Kingdom. Martin Mascher's co-authors include Uwe Scholz, Sebastian Beier, Thomas Thiel, Thomas A. Münch, Nils Stein, Axel Himmelbach, Mona Schreiber, Jesse Poland, Klaus Mayer and Robbie Waugh and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Martin Mascher

115 papers receiving 5.6k citations

Hit Papers

MISA-web: a web server for microsatellite prediction 2017 2026 2020 2023 2017 2021 500 1000 1.5k

Peers

Martin Mascher
Comparison fields: 5 of 113
  • Plant Science 4.1k
  • Molecular Biology 2.6k
  • Genetics 1.6k
  • Ecology, Evolution, Behavior and Systematics 600
  • Agronomy and Crop Science 404
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Citations per field, relative to Martin Mascher
Martin Mascher · 1×
Citations per year, relative to Martin Mascher
Martin Mascher · 1×

Countries citing papers authored by Martin Mascher

Since Specialization
Citations

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

Fields of papers citing papers by Martin Mascher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Mascher

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Mascher. A scholar is included among the top collaborators of Martin Mascher 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 Martin Mascher. Martin Mascher 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 3
2 3
3 21
4 26
5 31
6 48
7 18
8 4
9 10
10 3
11 9
12 53
13 13
14 3
15 48
16 146
17 38
18 60
19 39
20
Anchoring and ordering NGS contig assemblies by population sequencing (POPSEQ)
4

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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