Guntram Suske
- Molecular Biology top 1%
- Genetics top 1%
- Oncology top 2%
- Immunology top 2%
- Cancer Research top 2%
- Co-authors
- Miguel BeatoSjaak PhilipsenGustav HagenSusanne MüllerJörg DennigElspeth A. BrufordAlexandra SapetschnigHarald Braun
- Topics
- Genomics and Chromatin Dynamics (18 papers)RNA Research and Splicing (16 papers)Cancer-related gene regulation (12 papers)
- Journals
- Proceedings of the National Academy of SciencesNucleic Acids ResearchJournal of Biological Chemistry
- Partner nations
- GermanyUnited StatesNetherlands
In The Last Decade
Guntram Suske
88 papers receiving 7.7k citations
Hit Papers
Peers
Comparison fields: 5 of 121
- Molecular Biology 5.8k
- Genetics 1.2k
- Oncology 1.0k
- Immunology 933
- Cancer Research 820
Countries citing papers authored by Guntram Suske
This map shows the geographic impact of Guntram Suske'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 Guntram Suske with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guntram Suske more than expected).
Fields of papers citing papers by Guntram Suske
This network shows the impact of papers produced by Guntram Suske. 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 Guntram Suske. The network helps show where Guntram Suske may publish in the future.
Co-authorship network of co-authors of Guntram Suske
This figure shows the co-authorship network connecting the top 25 collaborators of Guntram Suske. A scholar is included among the top collaborators of Guntram Suske based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Guntram Suske. Guntram Suske is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 46 | |
| 2 | 21 | |
| 3 | 191 | |
| 4 | 80 | |
| 5 | 97 | |
| 6 | 21 | |
| 7 | 66 | |
| 8 | The Sp-family of transcription factorsbreakdown → | 979 |
| 9 | 53 | |
| 10 | 140 | |
| 11 | 32 | |
| 12 | 90 | |
| 13 | 14 | |
| 14 | 63 | |
| 15 | Cloning by recognition site screening of two novel GT box binding proteins: a family of Sp1 related genesbreakdown → | 530 |
| 16 | 8 | |
| 17 | 7 | |
| 18 | 87 | |
| 19 | 15 | |
| 20 | 28 |
About Guntram Suske
Guntram Suske is a scholar working on Molecular Biology, Immunology and Allergy and Immunology, having authored 89 papers that have together received 7.8k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (18 papers), RNA Research and Splicing (16 papers) and Cancer-related gene regulation (12 papers). The work is most often cited by research in Molecular Biology (5.8k citations), Cancer Research (820 citations) and Immunology (933 citations). Guntram Suske has collaborated with scholars based in Germany, United States and Netherlands. Frequent co-authors include Miguel Beato, Sjaak Philipsen, Gustav Hagen, Susanne Müller, Jörg Dennig, Elspeth A. Bruford, Alexandra Sapetschnig, Harald Braun, Luigi Lania and Pasquale De Luca. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.