Dirk Labudde
Impact in
- Molecular Biology top 10%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Signaling Pathways in Disease
- Advanced biosensing and bioanalysis techniques
- Chemical Synthesis and Analysis
- Machine Learning in Bioinformatics
Papers in
-
- Protein Structure and Dynamics 16
- Machine Learning in Bioinformatics 8
- RNA and protein synthesis mechanisms 8
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- Digital and Cyber Forensics 9
- Co-authors
- Hartmut Oschkinat (8 shared papers)Peter Schmieder (3 shared papers)Mario Schubert (2 shared papers)Dietmar Leitner (8 shared papers)Christian Freund (2 shared papers)Sebastian Bittrich (8 shared papers)Daniel J. Müller (3 shared papers)Florian Kaiser (7 shared papers)
- Journals
- Bioinformatics (4 papers)Journal of Biomolecular NMR (4 papers)Forensic Science International (3 papers)FEBS Letters (3 papers)BioMed Research International (2 papers)
- Partner nations
- GermanySwitzerlandUnited States
In The Last Decade
Dirk Labudde
80 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 141
- Molecular Biology 786
- Cell Biology 77
- Genetics 109
- Cellular and Molecular Neuroscience 71
- Microbiology 23
Countries citing papers authored by Dirk Labudde
This map shows the geographic impact of Dirk Labudde'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 Dirk Labudde with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dirk Labudde more than expected).
Fields of papers citing papers by Dirk Labudde
This network shows the impact of papers produced by Dirk Labudde. 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 Dirk Labudde. The network helps show where Dirk Labudde may publish in the future.
Co-authors
The 25 scholars most cited alongside Dirk Labudde, 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 100 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 297 | |
| 2 | 2005 | 61 | |
| 3 | 2013 | 54 | |
| 4 | 2007 | 51 | |
| 5 | 2006 | 49 | |
| 6 | 2005 | 36 | |
| 7 | 2020 | 34 | |
| 8 | 2018 | 30 | |
| 9 | 2002 | 26 | |
| 10 | 2018 | 24 | |
| 11 | 2007 | 23 | |
| 12 | 2017 | 23 | |
| 13 | 2004 | 20 | |
| 14 | 2003 | 20 | |
| 15 | 2014 | 20 | |
| 16 | 2005 | 19 | |
| 17 | 2019 | 19 | |
| 18 | 2018 | 18 | |
| 19 | 2013 | 17 | |
| 20 | 2017 | 17 |
About Dirk Labudde
Dirk Labudde is a scholar working on Molecular Biology, Information Systems, Artificial Intelligence, Archeology and Genetics, having authored 100 papers that have together received 1.1k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (16 papers), Forensic Anthropology and Bioarchaeology Studies (11 papers), Forensic and Genetic Research (10 papers), Digital and Cyber Forensics (9 papers), Machine Learning in Bioinformatics (8 papers), RNA and protein synthesis mechanisms (8 papers), Force Microscopy Techniques and Applications (7 papers) and Enzyme Structure and Function (6 papers). The work is most often cited by research in Molecular Biology (786 citations), Cell Biology (77 citations), Genetics (109 citations), Cellular and Molecular Neuroscience (71 citations) and Microbiology (23 citations). Dirk Labudde has collaborated with scholars based in Germany, Switzerland and United States. Frequent co-authors include Hartmut Oschkinat, Peter Schmieder, Mario Schubert, Dietmar Leitner, Christian Freund, Sebastian Bittrich, Daniel J. Müller, Florian Kaiser, Michael Schroeder and K. Tanuj Sapra. Their work appears in journals such as Bioinformatics, Journal of Biomolecular NMR, Forensic Science International, FEBS Letters and BioMed Research International.
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.