Steffen Möller
Impact in
- Aging top 5%
- Molecular Biology top 5%
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- Protein Structure and Dynamics
- Bioinformatics and Genomic Networks
- Receptor Mechanisms and Signaling
Papers in
- Aging 5
- Genetics, Aging, and Longevity in Model Organisms 5
-
- Scientific Computing and Data Management 13
- Co-authors
- Rolf ApweilerMichael D. R. CroningPonnuthurai Nagaratnam SuganthanGanesan PugalenthiThomas MartinetzKrishna Kumar KandaswamySaleh IbrahimGeorg Fuellen
- Journals
- Bioinformatics (9 papers)Briefings in Bioinformatics (4 papers)Scientific Reports (3 papers)PLoS ONE (3 papers)The Journal of Pathology (2 papers)
- Partner nations
- GermanyUnited KingdomNetherlands
In The Last Decade
Steffen Möller
76 papers receiving 2.6k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Aging 84
- Molecular Biology 1.6k
- Immunology 288
- Genetics 115
- Rheumatology 161
Countries citing papers authored by Steffen Möller
This map shows the geographic impact of Steffen Möller'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 Steffen Möller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steffen Möller more than expected).
Fields of papers citing papers by Steffen Möller
This network shows the impact of papers produced by Steffen Möller. 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 Steffen Möller. The network helps show where Steffen Möller may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Steffen Möller, 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 | 2022 | 2 | |
| 2 | 2021 | 2 | |
| 3 | 2020 | 3 | |
| 4 | 2020 | 134 | |
| 5 | 2015 | 8 | |
| 6 | 2014 | 5 | |
| 7 | 2013 | 11 | |
| 8 | 2013 | 76 | |
| 9 | 2012 | 26 | |
| 10 | 2010 | 47 | |
| 11 | 2006 | 24 | |
| 12 | 2006 | 6 | |
| 13 | 2006 | 63 | |
| 14 | 2006 | 1 | |
| 15 | 2005 | 3 | |
| 16 | 2004 | 1 | |
| 17 | 2001 | 7 | |
| 18 | 2001 | 55 | |
| 19 | 1999 | 33 | |
| 20 | A novel method for automatic and reliable functional annotation of proteins. | 1998 | 2 |
About Steffen Möller
Steffen Möller is a scholar working on Aging, Information Systems and Management, Molecular Biology, Genetics and Immunology, having authored 79 papers that have together received 2.6k indexed citations. Recurring topics across this work include Scientific Computing and Data Management (13 papers), Gene expression and cancer classification (12 papers), RNA and protein synthesis mechanisms (10 papers), Machine Learning in Bioinformatics (9 papers), Bioinformatics and Genomic Networks (9 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers), Genomics and Phylogenetic Studies (7 papers) and Genetics, Aging, and Longevity in Model Organisms (5 papers). The work is most often cited by research in Aging (84 citations), Molecular Biology (1.6k citations), Immunology (288 citations), Genetics (115 citations) and Rheumatology (161 citations). Steffen Möller has collaborated with scholars based in Germany, United Kingdom and Netherlands. Frequent co-authors include Rolf Apweiler, Michael D. R. Croning, Ponnuthurai Nagaratnam Suganthan, Ganesan Pugalenthi, Thomas Martinetz, Krishna Kumar Kandaswamy, Saleh Ibrahim, Georg Fuellen, Kuo‐Chen Chou and Sridha Sridharan. Their work appears in journals such as Bioinformatics, Briefings in Bioinformatics, Scientific Reports, PLoS ONE and The Journal of Pathology.
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.