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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- RNA Research and Splicing 2
- Plant Reproductive Biology 2
- Glycosylation and Glycoproteins Research 2
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- MicroRNA in disease regulation 3
- Cancer-related molecular mechanisms research 3
- Co-authors
- Manja Marz (15 shared papers)Martin Hölzer (2 shared papers)Otto W. Witte (3 shared papers)Akash Srivastava (3 shared papers)Adrian Viehweger (1 shared paper)Konrad Sachse (1 shared paper)Christiane Frahm (2 shared papers)Matthias Gimpel (1 shared paper)
In The Last Decade
Emanuel Barth
20 papers receiving 349 citations
Peers
Comparison fields: 5 of 83
- Aging 23
- Molecular Biology 212
- Cancer Research 43
- Immunology 51
- Biological Psychiatry 6
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 | 53 | |
| 2 | 2020 | 39 | |
| 3 | 2012 | 39 | |
| 4 | 2017 | 34 | |
| 5 | 2020 | 33 | |
| 6 | 2019 | 32 | |
| 7 | 2018 | 18 | |
| 8 | 2016 | 16 | |
| 9 | 2023 | 15 | |
| 10 | 2020 | 14 | |
| 11 | 2017 | 14 | |
| 12 | 2021 | 13 | |
| 13 | 2023 | 8 | |
| 14 | 2019 | 7 | |
| 15 | 2022 | 6 | |
| 16 | 2024 | 5 | |
| 17 | 2024 | 4 | |
| 18 | 2025 | 2 | |
| 19 | 2024 | 2 | |
| 20 | 2024 | 1 |
About Emanuel Barth
Emanuel Barth is a scholar working on Molecular Biology, Cancer Research, Immunology, Ecology and Physiology, having authored 23 papers that have together received 355 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (4 papers), MicroRNA in disease regulation (3 papers), Microbial Community Ecology and Physiology (3 papers), Cancer-related molecular mechanisms research (3 papers), Pregnancy and preeclampsia studies (2 papers), RNA Research and Splicing (2 papers), Plant Reproductive Biology (2 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Aging (23 citations), Molecular Biology (212 citations), Cancer Research (43 citations), Immunology (51 citations) and Biological Psychiatry (6 citations). Emanuel Barth has collaborated with scholars based in Germany, Italy and China. Frequent co-authors include Manja Marz, Martin Hölzer, Otto W. Witte, Akash Srivastava, Adrian Viehweger, Konrad Sachse, Christiane Frahm, Matthias Gimpel, Lydia Gramzow and Sabine Brantl. Their work appears in journals such as Aging, Bioinformatics, Nucleic Acids Research, Scientific Reports and Placenta.
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.