Emanuel Barth
Impact in
- Aging top 10%
-
- vaccines and immunoinformatics approaches
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- RNA modifications and cancer
Papers in
- Aging 4
- Genetics, Aging, and Longevity in Model Organisms 4
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- Cancer-related molecular mechanisms research 2
- Co-authors
- Manja Marz (16 shared papers)Martin Hölzer (3 shared papers)Adrian Viehweger (1 shared paper)Akash Kumar Srivastava (3 shared papers)Otto Wilhelm Witte (3 shared papers)Konrad Sachse (2 shared papers)Christiane Frahm (2 shared papers)Lydia Gramzow (1 shared paper)
In The Last Decade
Emanuel Barth
23 papers receiving 453 citations
Peers
Comparison fields: 5 of 87
- Aging 22
- Molecular Biology 233
- Cancer Research 45
- Infectious Diseases 56
- Immunology 53
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 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 66 | |
| 2 | 2020 | 52 | |
| 3 | 2012 | 42 | |
| 4 | 2020 | 37 | |
| 5 | 2016 | 37 | |
| 6 | 2017 | 35 | |
| 7 | 2019 | 33 | |
| 8 | 2017 | 18 | |
| 9 | 2018 | 18 | |
| 10 | 2016 | 17 | |
| 11 | 2021 | 16 | |
| 12 | 2023 | 16 | |
| 13 | 2020 | 15 | |
| 14 | 2024 | 11 | |
| 15 | 2023 | 11 | |
| 16 | 2024 | 9 | |
| 17 | 2019 | 7 | |
| 18 | 2024 | 5 | |
| 19 | 2021 | 5 | |
| 20 | 2025 | 4 |
About Emanuel Barth
Emanuel Barth is a scholar working on Aging, Cancer Research, Immunology, Physiology and Molecular Biology, having authored 24 papers that have together received 460 indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (4 papers), Plant Reproductive Biology (2 papers), Glycosylation and Glycoproteins Research (2 papers), Cancer-related molecular mechanisms research (2 papers), vaccines and immunoinformatics approaches (2 papers), Adipose Tissue and Metabolism (2 papers), Microbial Community Ecology and Physiology (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Aging (22 citations), Molecular Biology (233 citations), Cancer Research (45 citations), Infectious Diseases (56 citations) and Immunology (53 citations). Emanuel Barth has collaborated with scholars based in Germany, Italy and China. Frequent co-authors include Manja Marz, Martin Hölzer, Adrian Viehweger, Akash Kumar Srivastava, Otto Wilhelm Witte, Konrad Sachse, Christiane Frahm, Lydia Gramzow, Sabine Brantl and Matthias Gimpel. Their work appears in journals such as Bioinformatics, Aging, Scientific Reports, Nucleic Acids Research and Frontiers in Genetics.
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.