Marc Bayer
Impact in
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
-
- RNA modifications and cancer
- Cancer-related gene regulation
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
- Epigenetics and DNA Methylation
Papers in
-
- Genomics and Chromatin Dynamics 5
- Chromatin Remodeling and Cancer 2
- Single-cell and spatial transcriptomics 1
- Protein Degradation and Inhibitors 1
- RNA modifications and cancer 1
-
- Immunotherapy and Immune Responses 1
- Co-authors
- Cheuk Hei Ho (1 shared paper)Miguel A. Andrade‐Navarro (1 shared paper)Junaid Akhtar (1 shared paper)Katharina Schmid (1 shared paper)Jean‐Yves Roignant (1 shared paper)Nastasja Kreim (1 shared paper)Tina Lenče (1 shared paper)Burkhard Poeck (1 shared paper)
- Journals
- Genes & Development (3 papers)Nature Cell Biology (1 paper)Cancers (1 paper)Nature (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- GermanyUnited StatesLatvia
In The Last Decade
Marc Bayer
6 papers receiving 470 citations
Marc Bayer's Hit Papers
Peers
Comparison fields: 5 of 44
- Cancer Research 162
- Molecular Biology 440
- Energy Engineering and Power Technology 7
- Electrical and Electronic Engineering 99
- Aging 3
Countries citing papers authored by Marc Bayer
This map shows the geographic impact of Marc Bayer'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 Marc Bayer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Bayer more than expected).
Fields of papers citing papers by Marc Bayer
This network shows the impact of papers produced by Marc Bayer. 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 Marc Bayer. The network helps show where Marc Bayer may publish in the future.
Co-authors
The 25 scholars most cited alongside Marc Bayer, 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 | m6A modulates neuronal functions and sex determination in Drosophila Hit paper breakdown → | 2016 | 425 |
| 2 | 2020 | 22 | |
| 3 | 2024 | 12 | |
| 4 | 2022 | 6 | |
| 5 | 2022 | 5 | |
| 6 | 2024 | 3 | |
| 7 | 2025 | 0 |
About Marc Bayer
Marc Bayer is a scholar working on Molecular Biology, Immunology, Cancer Research, Pediatrics, Perinatology and Child Health and Public Health, Environmental and Occupational Health, having authored 7 papers that have together received 473 indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (5 papers), Chromatin Remodeling and Cancer (2 papers), Single-cell and spatial transcriptomics (1 paper), Protein Degradation and Inhibitors (1 paper), Acute Myeloid Leukemia Research (1 paper), Advanced Fluorescence Microscopy Techniques (1 paper), Immunotherapy and Immune Responses (1 paper) and RNA modifications and cancer (1 paper). The work is most often cited by research in Cancer Research (162 citations), Molecular Biology (440 citations), Energy Engineering and Power Technology (7 citations), Electrical and Electronic Engineering (99 citations) and Aging (3 citations). Marc Bayer has collaborated with scholars based in Germany, United States and Latvia. Frequent co-authors include Cheuk Hei Ho, Miguel A. Andrade‐Navarro, Junaid Akhtar, Katharina Schmid, Jean‐Yves Roignant, Nastasja Kreim, Tina Lenče, Burkhard Poeck, Mark Helm and Rudolf Grosschedl. Their work appears in journals such as Genes & Development, Nature Cell Biology, Cancers, Nature and Proceedings of the National Academy of Sciences.
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.