Emanuel Barth
Impact in
- Aging top 10%
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- vaccines and immunoinformatics approaches
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
- Machine Learning in Bioinformatics
Papers in
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- Plant Reproductive Biology 2
- RNA and protein synthesis mechanisms 2
- RNA Research and Splicing 2
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- Adipose Tissue and Metabolism 2
- Co-authors
- Manja Marz (15 shared papers)Martin Hölzer (2 shared papers)Otto W. Witte (3 shared papers)Adrian Viehweger (1 shared paper)Akash Srivastava (3 shared papers)Konrad Sachse (1 shared paper)Christiane Frahm (2 shared papers)Lydia Gramzow (1 shared paper)
In The Last Decade
Emanuel Barth
22 papers receiving 372 citations
Peers
Comparison fields: 5 of 82
- Aging 20
- Molecular Biology 206
- Cancer Research 39
- Immunology 47
- Biological Psychiatry 5
Countries citing papers authored by Emanuel Barth
This map shows the geographic impact of Emanuel Barth'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 Emanuel Barth with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emanuel Barth more than expected).
Fields of papers citing papers by Emanuel Barth
This network shows the impact of papers produced by Emanuel Barth. 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 Emanuel Barth. The network helps show where Emanuel Barth may publish in the future.
Co-authors
The 25 scholars most cited alongside Emanuel Barth, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 57 | |
| 2 | 2020 | 42 | |
| 3 | 2012 | 40 | |
| 4 | 2017 | 35 | |
| 5 | 2020 | 34 | |
| 6 | 2019 | 32 | |
| 7 | 2018 | 18 | |
| 8 | 2016 | 16 | |
| 9 | 2017 | 15 | |
| 10 | 2023 | 15 | |
| 11 | 2020 | 14 | |
| 12 | 2021 | 14 | |
| 13 | 2023 | 10 | |
| 14 | 2019 | 7 | |
| 15 | 2022 | 6 | |
| 16 | 2024 | 5 | |
| 17 | 2024 | 5 | |
| 18 | 2024 | 4 | |
| 19 | 2024 | 4 | |
| 20 | 2025 | 2 |
About Emanuel Barth
Emanuel Barth is a scholar working on Molecular Biology, Physiology, Aging, Cancer Research and Ecology, having authored 23 papers that have together received 377 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (4 papers), Microbial Community Ecology and Physiology (3 papers), Plant Reproductive Biology (2 papers), Marine Biology and Ecology Research (2 papers), RNA and protein synthesis mechanisms (2 papers), RNA Research and Splicing (2 papers), Adipose Tissue and Metabolism (2 papers) and Cancer-related molecular mechanisms research (2 papers). The work is most often cited by research in Aging (20 citations), Molecular Biology (206 citations), Cancer Research (39 citations), Immunology (47 citations) and Biological Psychiatry (5 citations). Emanuel Barth has collaborated with scholars based in Germany, Italy and China. Frequent co-authors include Manja Marz, Martin Hölzer, Otto W. Witte, Adrian Viehweger, Akash Srivastava, Konrad Sachse, Christiane Frahm, Lydia Gramzow, Sabine Brantl and Matthias Gimpel. Their work appears in journals such as Nucleic Acids Research, Aging, Bioinformatics, Scientific Reports and Cell 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.