Michael Sierk
Impact in
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- Genomics and Phylogenetic Studies
- Protein Structure and Dynamics
- Genetics, Bioinformatics, and Biomedical Research
- Machine Learning in Bioinformatics
- RNA and protein synthesis mechanisms
- Retinoids in leukemia and cellular processes
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- Estrogen and related hormone effects
Papers in
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- Genetics, Bioinformatics, and Biomedical Research 3
- Machine Learning in Bioinformatics 3
- Genomics and Phylogenetic Studies 3
- Protein Structure and Dynamics 3
- DNA and Nucleic Acid Chemistry 2
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- Enzyme Structure and Function 2
- Co-authors
- William R. Pearson (3 shared papers)Gerard J. Kleywegt (1 shared paper)Fraydoon Rastinejad (2 shared papers)Qiang Zhao (2 shared papers)Bijan Ahvazi (1 shared paper)Srikripa Devarakonda (1 shared paper)Scott Chasse (1 shared paper)Mark Pauley (3 shared papers)
- Journals
- Frontiers in Oncology (1 paper)PLoS Computational Biology (1 paper)BMC Bioinformatics (1 paper)Frontiers in Neuroscience (1 paper)Structure (1 paper)
- Partner nations
- United StatesSwedenAustralia
In The Last Decade
Michael Sierk
13 papers receiving 447 citations
Peers
Comparison fields: 5 of 106
- Molecular Biology 370
- Genetics 81
- Information Systems and Management 16
- Cellular and Molecular Neuroscience 38
- Biochemistry 12
Countries citing papers authored by Michael Sierk
This map shows the geographic impact of Michael Sierk'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 Sierk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Sierk more than expected).
Fields of papers citing papers by Michael Sierk
This network shows the impact of papers produced by Michael Sierk. 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 Sierk. The network helps show where Michael Sierk may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Sierk, 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 | 2000 | 103 | |
| 2 | 2004 | 89 | |
| 3 | 2004 | 81 | |
| 4 | 2005 | 61 | |
| 5 | 2018 | 59 | |
| 6 | 2001 | 41 | |
| 7 | 2020 | 14 | |
| 8 | 2010 | 10 | |
| 9 | 2024 | 8 | |
| 10 | 2023 | 7 | |
| 11 | 2022 | 1 | |
| 12 | 2020 | 1 | |
| 13 | 2020 | 1 |
About Michael Sierk
Michael Sierk is a scholar working on Molecular Biology, Materials Chemistry, Infectious Diseases, Computer Networks and Communications and Pulmonary and Respiratory Medicine, having authored 13 papers that have together received 476 indexed citations. Recurring topics across this work include Genetics, Bioinformatics, and Biomedical Research (3 papers), Machine Learning in Bioinformatics (3 papers), Genomics and Phylogenetic Studies (3 papers), Protein Structure and Dynamics (3 papers), DNA and Nucleic Acid Chemistry (2 papers), Enzyme Structure and Function (2 papers), Cancer, Hypoxia, and Metabolism (1 paper) and Animal Virus Infections Studies (1 paper). The work is most often cited by research in Molecular Biology (370 citations), Genetics (81 citations), Information Systems and Management (16 citations), Cellular and Molecular Neuroscience (38 citations) and Biochemistry (12 citations). Michael Sierk has collaborated with scholars based in United States, Sweden and Australia. Frequent co-authors include William R. Pearson, Gerard J. Kleywegt, Fraydoon Rastinejad, Qiang Zhao, Bijan Ahvazi, Srikripa Devarakonda, Scott Chasse, Mark Pauley, Anne Rosenwald and Gabriella Rustici. Their work appears in journals such as Frontiers in Oncology, PLoS Computational Biology, BMC Bioinformatics, Frontiers in Neuroscience and Structure.
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.