Gunnar Dittmar
Impact in
- Cancer Research top 0.5%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Molecular Biology top 0.5%
- Circular RNAs in diseases
- Ubiquitin and proteasome pathways
- RNA modifications and cancer
- RNA Research and Splicing
- RNA and protein synthesis mechanisms
Papers in
-
- Ubiquitin and proteasome pathways 29
- RNA and protein synthesis mechanisms 11
- RNA Research and Splicing 11
- RNA modifications and cancer 9
- Fungal and yeast genetics research 7
- Glycosylation and Glycoproteins Research 7
- Cell Biology 20
- Co-authors
- Matthias SelbachBjörn SchwanhäußerJana WolfWei ChenJohannes SchuchhardtDorothea BusseNa LiDaniel Finley
- Journals
- Molecular Cell (7 papers)Scientific Reports (5 papers)Molecular & Cellular Proteomics (5 papers)The EMBO Journal (5 papers)Cell Reports (4 papers)
- Partner nations
- GermanyLuxembourgUnited States
In The Last Decade
Gunnar Dittmar
124 papers receiving 11.2k citations
Hit Papers
Peers
Comparison fields: 5 of 163
- Cancer Research 2.5k
- Molecular Biology 8.7k
- Aging 180
- Cell Biology 1.2k
- Spectroscopy 905
Countries citing papers authored by Gunnar Dittmar
This map shows the geographic impact of Gunnar Dittmar'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 Gunnar Dittmar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gunnar Dittmar more than expected).
Fields of papers citing papers by Gunnar Dittmar
This network shows the impact of papers produced by Gunnar Dittmar. 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 Gunnar Dittmar. The network helps show where Gunnar Dittmar may publish in the future.
Co-authors
The 25 scholars most cited alongside Gunnar Dittmar, 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 | 2 | |
| 2 | 2023 | 5 | |
| 3 | 2023 | 24 | |
| 4 | 2022 | 5 | |
| 5 | 2022 | 26 | |
| 6 | 2022 | 7 | |
| 7 | 2022 | 18 | |
| 8 | 2022 | 19 | |
| 9 | 2021 | 36 | |
| 10 | 2021 | 18 | |
| 11 | 2021 | 11 | |
| 12 | 2021 | 6 | |
| 13 | 2021 | 14 | |
| 14 | 2020 | 10 | |
| 15 | 2020 | 22 | |
| 16 | 2020 | 18 | |
| 17 | 2019 | 25 | |
| 18 | 2006 | 4 | |
| 19 | 2002 | 70 | |
| 20 | 1997 | 19 |
About Gunnar Dittmar
Gunnar Dittmar is a scholar working on Molecular Biology, Cell Biology, Cancer Research, Immunology and Allergy and Spectroscopy, having authored 128 papers that have together received 11.3k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (29 papers), Advanced Proteomics Techniques and Applications (13 papers), RNA and protein synthesis mechanisms (11 papers), RNA Research and Splicing (11 papers), RNA modifications and cancer (9 papers), Autophagy in Disease and Therapy (8 papers), Fungal and yeast genetics research (7 papers) and Glycosylation and Glycoproteins Research (7 papers). The work is most often cited by research in Cancer Research (2.5k citations), Molecular Biology (8.7k citations), Aging (180 citations), Cell Biology (1.2k citations) and Spectroscopy (905 citations). Gunnar Dittmar has collaborated with scholars based in Germany, Luxembourg and United States. Frequent co-authors include Matthias Selbach, Björn Schwanhäußer, Jana Wolf, Wei Chen, Johannes Schuchhardt, Dorothea Busse, Na Li, Daniel Finley, Daniel Pérez-Hernández and Nikolaus Rajewsky. Their work appears in journals such as Molecular Cell, Scientific Reports, Molecular & Cellular Proteomics, The EMBO Journal 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.