Stefan E. Seemann
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Molecular Biology top 10%
- RNA modifications and cancer
- RNA and protein synthesis mechanisms
- RNA Research and Splicing
- Genomics and Phylogenetic Studies
- Circular RNAs in diseases
- CRISPR and Genetic Engineering
Papers in
-
- RNA and protein synthesis mechanisms 19
- RNA modifications and cancer 13
- RNA Research and Splicing 12
- Genomics and Phylogenetic Studies 6
- CRISPR and Genetic Engineering 4
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- Cancer-related molecular mechanisms research 4
- Co-authors
- Jan Gorodkin (35 shared papers)Rolf Backofen (5 shared papers)Peter Florian Stadler (7 shared papers)Ivo L. Hofacker (5 shared papers)Hakim Tafer (4 shared papers)Radhakrishnan Sabarinathan (5 shared papers)Klaus Stensgaard Frederiksen (1 shared paper)Xiaoyong Pan (1 shared paper)
- Journals
- Nucleic Acids Research (10 papers)BMC Genomics (5 papers)Bioinformatics (3 papers)Human Mutation (2 papers)Scientific Reports (2 papers)
- Partner nations
- DenmarkUnited StatesGermany
In The Last Decade
Stefan E. Seemann
43 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 97
- Cancer Research 525
- Molecular Biology 1.0k
- Genetics 129
- Endocrinology 17
- Virology 15
Countries citing papers authored by Stefan E. Seemann
This map shows the geographic impact of Stefan E. Seemann'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 Stefan E. Seemann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan E. Seemann more than expected).
Fields of papers citing papers by Stefan E. Seemann
This network shows the impact of papers produced by Stefan E. Seemann. 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 Stefan E. Seemann. The network helps show where Stefan E. Seemann may publish in the future.
Co-authors
The 25 scholars most cited alongside Stefan E. Seemann, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 259 | |
| 2 | 2016 | 173 | |
| 3 | 2015 | 149 | |
| 4 | 2013 | 119 | |
| 5 | 2013 | 118 | |
| 6 | 2008 | 84 | |
| 7 | 2018 | 60 | |
| 8 | 2010 | 50 | |
| 9 | 2013 | 46 | |
| 10 | 2016 | 37 | |
| 11 | 2011 | 30 | |
| 12 | 2021 | 24 | |
| 13 | 2017 | 22 | |
| 14 | 2015 | 22 | |
| 15 | 2014 | 19 | |
| 16 | 2017 | 14 | |
| 17 | 2021 | 14 | |
| 18 | 2012 | 14 | |
| 19 | 2022 | 13 | |
| 20 | 2010 | 13 |
About Stefan E. Seemann
Stefan E. Seemann is a scholar working on Molecular Biology, Cancer Research, Genetics, Hepatology and Biotechnology, having authored 46 papers that have together received 1.4k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (19 papers), RNA modifications and cancer (13 papers), RNA Research and Splicing (12 papers), Genomics and Phylogenetic Studies (6 papers), CRISPR and Genetic Engineering (4 papers), Cancer-related molecular mechanisms research (4 papers), Enzyme Production and Characterization (2 papers) and Viral Infections and Immunology Research (2 papers). The work is most often cited by research in Cancer Research (525 citations), Molecular Biology (1.0k citations), Genetics (129 citations), Endocrinology (17 citations) and Virology (15 citations). Stefan E. Seemann has collaborated with scholars based in Denmark, United States and Germany. Frequent co-authors include Jan Gorodkin, Rolf Backofen, Peter Florian Stadler, Ivo L. Hofacker, Hakim Tafer, Radhakrishnan Sabarinathan, Klaus Stensgaard Frederiksen, Xiaoyong Pan, MOGENS VILIEN and Aashiq Hussain Mirza. Their work appears in journals such as Nucleic Acids Research, BMC Genomics, Bioinformatics, Human Mutation and Scientific 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.