Matthis Ebel

917 citations
4 papers · 266 · 1 hit paper · h-index 3

Impact in

    • Chromosomal and Genetic Variations
    • Plant Disease Resistance and Genetics
    • Plant-Microbe Interactions and Immunity

Papers in

    • Genomics and Phylogenetic Studies 2
    • Identification and Quantification in Food 1
    • Machine Learning in Bioinformatics 1
    • Functional Brain Connectivity Studies 1

Matthis Ebel

4 papers receiving 266 citations

Matthis Ebel's Hit Papers

BRAKER3: Fully automated genome annotation using RNA-seq and protein evidence with GeneMark-ETP, AUGUSTUS, and TSEBRA 2024 · 221 citations
2210+1Years since publication50100150200

Peers

Matthis Ebel
Comparison fields: 5 of 53
  • Horticulture 4
  • Plant Science 83
  • Genetics 51
  • Molecular Biology 125
  • Ecology, Evolution, Behavior and Systematics 31
Replace Nanette Christie with:
Nanette Christie South Africa
Michael Paulini United Kingdom
Holger Zetzsche Germany
Belayneh Admassu Ethiopia
Nicole J. Forrester United States
Mathieu Hanemian France
Harrie Schneiders Netherlands
Luca Marcolungo Italy
Huiting Zhang United States
Matthis Ebel relative to Nanette Christie South Africa Nanette Christie's profile →
Citations per field
00.5×7.7×
Nanette Christie · 1×
Citations per year

Countries citing papers authored by Matthis Ebel

Since Specialization
Citations

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

Fields of papers citing papers by Matthis Ebel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside Matthis Ebel, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matthis Ebel Line = papers co-authored together Matthis Ebel links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown

About Matthis Ebel

Matthis Ebel is a scholar working on Molecular Biology, Cognitive Neuroscience, Radiology, Nuclear Medicine and Imaging, Infectious Diseases and Organic Chemistry, having authored 4 papers that have together received 266 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (2 papers), Identification and Quantification in Food (1 paper), Functional Brain Connectivity Studies (1 paper), Advanced Neuroimaging Techniques and Applications (1 paper), Machine Learning in Bioinformatics (1 paper) and Advanced MRI Techniques and Applications (1 paper). The work is most often cited by research in Horticulture (4 citations), Plant Science (83 citations), Genetics (51 citations), Molecular Biology (125 citations) and Ecology, Evolution, Behavior and Systematics (31 citations). Matthis Ebel has collaborated with scholars based in Germany, United States and New Zealand. Frequent co-authors include Mario Stanke, Katharina J. Hoff, Tomáš Brůna, Lars Gabriel, Alexandre Lomsadze, Mark Borodovsky, Natalia Nenasheva, Steffen Herbold, Heng Li and Joseph Guhlin. Their work appears in journals such as BMC Bioinformatics, Genome Research and Neuroimage Reports.

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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