Ingo Ebersberger

9.2k citations
79 papers · 5.2k · 1 hit paper · h-index 36

Impact in

Papers in

    • Genomics and Phylogenetic Studies 20
    • RNA and protein synthesis mechanisms 8
    • Bacterial biofilms and quorum sensing 6
    • Machine Learning in Bioinformatics 5
    • RNA modifications and cancer 5
    • Mycorrhizal Fungi and Plant Interactions 5

Ingo Ebersberger

76 papers receiving 5.1k citations

Ingo Ebersberger's Hit Papers

The plant heat stress transcription factor (Hsf) family: Structure, function and evolution 2011 · 823 citations
8230+5+10Years since publication250500750

Peers

Ingo Ebersberger
Comparison fields: 5 of 141
  • Paleontology 325
  • Molecular Medicine 210
  • Molecular Biology 2.9k
  • Genetics 1.0k
  • Plant Science 1.3k
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Citations per field
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Citations per year

Countries citing papers authored by Ingo Ebersberger

Since Specialization
Citations

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

Fields of papers citing papers by Ingo Ebersberger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ingo Ebersberger, 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 Ingo Ebersberger Line = papers co-authored together Ingo Ebersberger links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The plant heat stress transcription factor (Hsf) family: Structure, function and evolution
Hit paper breakdown →
2011823
2 2007332
3 2010267
4 2002250
5 2009245
6 2003230
7 2009225
8 2011193
9 2005178
10 2017140
11 2019123
12 2003121
13 200799
14 201195
15 201395
16 201392
17 201486
18 201584
19 199778
20 201371

About Ingo Ebersberger

Ingo Ebersberger is a scholar working on Molecular Biology, Plant Science, Molecular Medicine, Ecology, Evolution, Behavior and Systematics and Genetics, having authored 79 papers that have together received 5.2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (20 papers), Antibiotic Resistance in Bacteria (12 papers), RNA and protein synthesis mechanisms (8 papers), Bacterial biofilms and quorum sensing (6 papers), Genetic diversity and population structure (6 papers), Mycorrhizal Fungi and Plant Interactions (5 papers), Machine Learning in Bioinformatics (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Paleontology (325 citations), Molecular Medicine (210 citations), Molecular Biology (2.9k citations), Genetics (1.0k citations) and Plant Science (1.3k citations). Ingo Ebersberger has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Klaus‐Dieter Scharf, Thomas Berberich, Lutz Nover, Arndt von Haeseler, Svante Pääbo, Sascha Strauß, Ines Hellmann, Dirk Metzler, C. Schwarz and Thorsten Burmester. Their work appears in journals such as Molecular Biology and Evolution, Genome Biology and Evolution, BMC Evolutionary Biology, Nucleic Acids Research and Molecular Phylogenetics and Evolution.

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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