Michael D. Tyka
Impact in
- Structural Biology top 2%
- Molecular Biology top 5%
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Glycosylation and Glycoproteins Research
- Machine Learning in Bioinformatics
Papers in
-
- Methane Hydrates and Related Phenomena 5
- Co-authors
- David BakerFrank DiMaioDavid E. KonerdingPatrick ConwaySrivatsan RamanZoran PopovićMatthew L. BakerFoldit Players
- Journals
- Proteins Structure Function and Bioinformatics (4 papers)Biogeosciences (3 papers)Protein Science (2 papers)The Journal of Physical Chemistry B (2 papers)Journal of Molecular Biology (2 papers)
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
Michael D. Tyka
22 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 169
- Structural Biology 93
- Molecular Biology 1.8k
- Computer Science Applications 82
- Materials Chemistry 705
- Spectroscopy 224
Countries citing papers authored by Michael D. Tyka
This map shows the geographic impact of Michael D. Tyka'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 D. Tyka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael D. Tyka more than expected).
Fields of papers citing papers by Michael D. Tyka
This network shows the impact of papers produced by Michael D. Tyka. 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 D. Tyka. The network helps show where Michael D. Tyka may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael D. Tyka, 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 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 17 | |
| 5 | 2023 | 31 | |
| 6 | 2023 | 57 | |
| 7 | 2015 | 75 | |
| 8 | 2015 | 184 | |
| 9 | 2014 | 2 | |
| 10 | Relaxation of backbone bond geometry improves protein energy landscape modeling Hit paper breakdown → | 2013 | 288 |
| 11 | 2012 | 33 | |
| 12 | 2011 | 38 | |
| 13 | Algorithm discovery by protein folding game players Hit paper breakdown → | 2011 | 370 |
| 14 | 2011 | 24 | |
| 15 | 2010 | 201 | |
| 16 | Alternate States of Proteins Revealed by Detailed Energy Landscape Mapping Hit paper breakdown → | 2010 | 275 |
| 17 | 2010 | 38 | |
| 18 | 2009 | 228 | |
| 19 | Structure prediction for CASP8 with all‐atom refinement using Rosetta Hit paper breakdown → | 2009 | 380 |
| 20 | 2007 | 145 |
About Michael D. Tyka
Michael D. Tyka is a scholar working on Structural Biology, Environmental Chemistry, Oceanography, Spectroscopy and Materials Chemistry, having authored 24 papers that have together received 2.6k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (12 papers), Enzyme Structure and Function (10 papers), Mass Spectrometry Techniques and Applications (6 papers), Ocean Acidification Effects and Responses (6 papers), Methane Hydrates and Related Phenomena (5 papers), Atmospheric and Environmental Gas Dynamics (3 papers), RNA and protein synthesis mechanisms (3 papers) and Carbon Dioxide Capture Technologies (2 papers). The work is most often cited by research in Structural Biology (93 citations), Molecular Biology (1.8k citations), Computer Science Applications (82 citations), Materials Chemistry (705 citations) and Spectroscopy (224 citations). Michael D. Tyka has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include David Baker, Frank DiMaio, David E. Konerding, Patrick Conway, Srivatsan Raman, Zoran Popović, Matthew L. Baker, Foldit Players, Seth Cooper and Wah Chiu. Their work appears in journals such as Proteins Structure Function and Bioinformatics, Biogeosciences, Protein Science, The Journal of Physical Chemistry B and Journal of Molecular Biology.
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.