Michael Kiening
Impact in
-
- Bioinformatics and Genomic Networks
- Machine Learning in Bioinformatics
- Genomics and Phylogenetic Studies
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Microbial Metabolic Engineering and Bioproduction
- Biomedical Text Mining and Ontologies
-
- Computational Drug Discovery Methods
Papers in
-
- Plant and Fungal Interactions Research 1
-
- Enzyme Production and Characterization 1
- Co-authors
- Dmitrij Frishman (3 shared papers)Thomas Rattei (2 shared papers)Friedemann Weber (1 shared paper)Tobias Hamp (1 shared paper)Maximilian Hecht (1 shared paper)Stefan Seemayer (1 shared paper)Nicole S. Webster (1 shared paper)Florian Auer (1 shared paper)
- Journals
- Viruses (2 papers)BMC Bioinformatics (1 paper)Scientific Reports (1 paper)Nature Methods (1 paper)Foods (1 paper)
- Partner nations
- GermanyUnited StatesRussia
In The Last Decade
Michael Kiening
6 papers receiving 865 citations
Michael Kiening's Hit Papers
Peers
Comparison fields: 5 of 86
- Molecular Biology 676
- Computational Theory and Mathematics 109
- Ecology 55
- Biophysics 11
- Artificial Intelligence 60
Countries citing papers authored by Michael Kiening
This map shows the geographic impact of Michael Kiening'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 Michael Kiening with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Kiening more than expected).
Fields of papers citing papers by Michael Kiening
This network shows the impact of papers produced by Michael Kiening. 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 Michael Kiening. The network helps show where Michael Kiening may publish in the future.
Co-authors
The 24 scholars most cited alongside Michael Kiening, 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 | A large-scale evaluation of computational protein function prediction Hit paper breakdown → | 2013 | 741 |
| 2 | 2013 | 56 | |
| 3 | 2024 | 34 | |
| 4 | 2019 | 19 | |
| 5 | 2017 | 11 | |
| 6 | 2020 | 10 |
About Michael Kiening
Michael Kiening is a scholar working on Endocrinology, Biotechnology, Molecular Biology, Nutrition and Dietetics and Pharmacology, having authored 6 papers that have together received 871 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (2 papers), RNA and protein synthesis mechanisms (2 papers), Viral gastroenteritis research and epidemiology (1 paper), Plant and Fungal Interactions Research (1 paper), Genomics and Phylogenetic Studies (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper), Machine Learning in Bioinformatics (1 paper) and Enzyme Production and Characterization (1 paper). The work is most often cited by research in Molecular Biology (676 citations), Computational Theory and Mathematics (109 citations), Ecology (55 citations), Biophysics (11 citations) and Artificial Intelligence (60 citations). Michael Kiening has collaborated with scholars based in Germany, United States and Russia. Frequent co-authors include Dmitrij Frishman, Thomas Rattei, Friedemann Weber, Tobias Hamp, Maximilian Hecht, Stefan Seemayer, Nicole S. Webster, Florian Auer, Denis Krompaß and Cedric L. Landerer. Their work appears in journals such as Viruses, BMC Bioinformatics, Scientific Reports, Nature Methods and Foods.
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.