Ingo Ebersberger
- Paleontology top 2%
- Molecular Biology top 2%
- Genomics and Phylogenetic Studies 23
- RNA and protein synthesis mechanisms 9
- Bacterial biofilms and quorum sensing 7
- Bioinformatics and Genomic Networks 7
- RNA modifications and cancer 7
- Machine Learning in Bioinformatics 6
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria 12
- Genetics top 2%
- Genetic diversity and population structure 10
- Aging top 5%
- Co-authors
- Klaus‐Dieter ScharfThomas BerberichLutz NoverArndt von HaeselerSvante PääboSascha StraußInes HellmannC. Schwarz
- Journals
- Molecular Biology and Evolution (9 papers)BMC Evolutionary Biology (5 papers)Genome Biology and Evolution (5 papers)
- Partner nations
- GermanyAustriaUnited States
In The Last Decade
Ingo Ebersberger
74 papers receiving 5.1k citations
Hit Papers
Peers
Comparison fields: 5 of 142
- Paleontology 362
- Molecular Biology 3.0k
- Molecular Medicine 207
- Genetics 1.1k
- Aging 64
Countries citing papers authored by Ingo Ebersberger
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 8 | |
| 2 | 2024 | 1 | |
| 3 | 2023 | 5 | |
| 4 | 2022 | 24 | |
| 5 | 2022 | 14 | |
| 6 | 2021 | 32 | |
| 7 | 2021 | 8 | |
| 8 | 2020 | 34 | |
| 9 | 2020 | 13 | |
| 10 | 2020 | 42 | |
| 11 | 2019 | 121 | |
| 12 | 2017 | 16 | |
| 13 | 2017 | 134 | |
| 14 | 2016 | 6 | |
| 15 | 2016 | 61 | |
| 16 | 2014 | 65 | |
| 17 | 2011 | 193 | |
| 18 | 2009 | 245 | |
| 19 | 2007 | 99 | |
| 20 | 2007 | 55 |
About Ingo Ebersberger
Ingo Ebersberger is a scholar working on Molecular Medicine, Endocrinology, Molecular Biology, Cell Biology and Ecology, Evolution, Behavior and Systematics, having authored 78 papers that have together received 5.1k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (23 papers), Antibiotic Resistance in Bacteria (12 papers), Genetic diversity and population structure (10 papers), RNA and protein synthesis mechanisms (9 papers), Bacterial biofilms and quorum sensing (7 papers), Bioinformatics and Genomic Networks (7 papers), RNA modifications and cancer (7 papers) and Machine Learning in Bioinformatics (6 papers). The work is most often cited by research in Paleontology (362 citations), Molecular Biology (3.0k citations), Molecular Medicine (207 citations), Genetics (1.1k citations) and Aging (64 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, C. Schwarz, Dirk Metzler and Thorsten Burmester. Their work appears in journals such as Molecular Biology and Evolution, BMC Evolutionary Biology, Genome Biology and Evolution, 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.