Michael Tyers
- Cell Biology top 10%
- Molecular Biology top 10%
- Fungal and yeast genetics research 5
- Bioinformatics and Genomic Networks 4
- Protein Kinase Regulation and GTPase Signaling 3
- RNA Research and Splicing 3
- Metabolomics and Mass Spectrometry Studies 1
- Hematology top 10%
- Molecular Medicine top 10%
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- Advanced Proteomics Techniques and Applications 4
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- Erythrocyte Function and Pathophysiology 2
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- Blood properties and coagulation 1
- Co-authors
- Calvin B. HarleyRichard J. HaslamRichard A. RachubinskiAndrew HesselTak W. MakDavid P. SiderovskiStephen ChungRobert Shorr
- Journals
- Database (3 papers)FEBS Letters (2 papers)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Michael Tyers
16 papers receiving 959 citations
Peers
Comparison fields: 5 of 82
- Cell Biology 199
- Molecular Biology 810
- Hematology 84
- Molecular Medicine 35
- Immunology and Allergy 33
Countries citing papers authored by Michael Tyers
This map shows the geographic impact of Michael Tyers'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 Tyers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Tyers more than expected).
Fields of papers citing papers by Michael Tyers
This network shows the impact of papers produced by Michael Tyers. 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 Tyers. The network helps show where Michael Tyers may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael Tyers, 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 | 2018 | 1 | |
| 2 | 2017 | 35 | |
| 3 | 2016 | 86 | |
| 4 | 2015 | 8 | |
| 5 | 2013 | 83 | |
| 6 | 2012 | 22 | |
| 7 | 2010 | 82 | |
| 8 | 2008 | 12 | |
| 9 | 1997 | 15 | |
| 10 | 1996 | 182 | |
| 11 | 1996 | 128 | |
| 12 | 1989 | 60 | |
| 13 | 1988 | 210 | |
| 14 | 1988 | 6 | |
| 15 | 1987 | 28 | |
| 16 | 1986 | 15 |
About Michael Tyers
Michael Tyers is a scholar working on Spectroscopy, Molecular Biology, Hematology, Immunology and Allergy and Cancer Research, having authored 16 papers that have together received 973 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (5 papers), Advanced Proteomics Techniques and Applications (4 papers), Bioinformatics and Genomic Networks (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), RNA Research and Splicing (3 papers), Erythrocyte Function and Pathophysiology (2 papers), Blood properties and coagulation (1 paper) and Metabolomics and Mass Spectrometry Studies (1 paper). The work is most often cited by research in Cell Biology (199 citations), Molecular Biology (810 citations), Hematology (84 citations), Molecular Medicine (35 citations) and Immunology and Allergy (33 citations). Michael Tyers has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Calvin B. Harley, Richard J. Haslam, Richard A. Rachubinski, Andrew Hessel, Tak W. Mak, David P. Siderovski, Stephen Chung, Robert Shorr, Angela Varrichio and Ivan Sadowski. Their work appears in journals such as Database, FEBS Letters, Proceedings of the National Academy of Sciences, Journal of Cellular Biochemistry and BMC Genomics.
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.