Martin Schattat

1.9k total citations · 1 hit paper
26 papers, 1.3k citations indexed

About

Martin Schattat is a scholar working on Molecular Biology, Plant Science and Biotechnology. According to data from OpenAlex, Martin Schattat has authored 26 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 18 papers in Plant Science and 3 papers in Biotechnology. Recurrent topics in Martin Schattat's work include Photosynthetic Processes and Mechanisms (15 papers), Plant Parasitism and Resistance (7 papers) and Plant-Microbe Interactions and Immunity (5 papers). Martin Schattat is often cited by papers focused on Photosynthetic Processes and Mechanisms (15 papers), Plant Parasitism and Resistance (7 papers) and Plant-Microbe Interactions and Immunity (5 papers). Martin Schattat collaborates with scholars based in Germany, Canada and United States. Martin Schattat's co-authors include Jessica Lee Erickson, Jan Grau, Jens Keilwagen, Frank Hartung, Jaideep Mathur, Kiah A. Barton, Ralf Bernd Klösgen, Alexander Krull, Michael R. Wozny and Sven Vogel and has published in prestigious journals such as Cell, Nucleic Acids Research and The Plant Cell.

In The Last Decade

Martin Schattat

25 papers receiving 1.2k citations

Hit Papers

Using intron position conservation for homology-based gen... 2016 2026 2019 2022 2016 100 200 300 400

Peers

Martin Schattat
Comparison fields: 5 of 85
  • Molecular Biology 861
  • Plant Science 738
  • Ecology, Evolution, Behavior and Systematics 156
  • Cell Biology 140
  • Genetics 123
Replace Shin‐ichi Arimura with:
Shin‐ichi Arimura Japan
Dongru Feng China
Daye Sun China
Thomas Hottiger Switzerland
Linsey Newton United States
Björn Lárus Örvar Canada
Kenneth Wayne Berendzen Germany
Chris Town United States
Ulrich Klahre Switzerland
Elizabeth R. Waters United States
Shin‐ichi Arimura Japan View profile →
Citations per field, relative to Martin Schattat
Martin Schattat · 1×
Citations per year, relative to Martin Schattat
Martin Schattat · 1×

Countries citing papers authored by Martin Schattat

Since Specialization
Citations

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

Fields of papers citing papers by Martin Schattat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Schattat

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Schattat. A scholar is included among the top collaborators of Martin Schattat 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 Schattat. Martin Schattat 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 2
2 11
3 23
4 40
5 61
6 9
7 16
8 33
9 45
10
Using intron position conservation for homology-based gene prediction breakdown →
474
11 48
12 27
13 24
14 31
15 70
16 16
17 11
18 67
19 121
20 35

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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