Edward C. Thayer
Impact in
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- Fungal and yeast genetics research
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
- RNA Research and Splicing
- RNA modifications and cancer
- Protein Structure and Dynamics
- Genomics and Chromatin Dynamics
Papers in
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- RNA and protein synthesis mechanisms 6
- Genomics and Chromatin Dynamics 5
- Genomics and Phylogenetic Studies 5
- Gene expression and cancer classification 2
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- Algorithms and Data Compression 3
- Co-authors
- Maynard V. Olson (3 shared papers)Linda Riles (1 shared paper)Mary P. Leckie (1 shared paper)Valerie V. Braden (1 shared paper)Stan Letovsky (3 shared papers)Doron Lipson (3 shared papers)Eldar Giladi (2 shared papers)Patrice M. Milos (2 shared papers)
- Journals
- Journal of Computational Biology (4 papers)Experimental Mathematics (2 papers)Clinical Chemistry (1 paper)Genetics (1 paper)Nature Biotechnology (1 paper)
- Partner nations
- United StatesCanadaGermany
In The Last Decade
Edward C. Thayer
16 papers receiving 534 citations
Peers
Comparison fields: 5 of 78
- Molecular Biology 480
- Cell Biology 47
- Genetics 67
- Plant Science 72
- Aging 3
Countries citing papers authored by Edward C. Thayer
This map shows the geographic impact of Edward C. Thayer'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 Edward C. Thayer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward C. Thayer more than expected).
Fields of papers citing papers by Edward C. Thayer
This network shows the impact of papers produced by Edward C. Thayer. 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 Edward C. Thayer. The network helps show where Edward C. Thayer may publish in the future.
Co-authors
The 25 scholars most cited alongside Edward C. Thayer, 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 | 1993 | 222 | |
| 2 | 2009 | 142 | |
| 3 | 2000 | 75 | |
| 4 | 1997 | 38 | |
| 5 | 2014 | 21 | |
| 6 | 2010 | 18 | |
| 7 | 2011 | 8 | |
| 8 | 1999 | 7 | |
| 9 | 2000 | 7 | |
| 10 | 1997 | 6 | |
| 11 | 2000 | 6 | |
| 12 | 1999 | 5 | |
| 13 | 1998 | 5 | |
| 14 | 2018 | 5 | |
| 15 | 1995 | 5 | |
| 16 | 2012 | 1 |
About Edward C. Thayer
Edward C. Thayer is a scholar working on Molecular Biology, Artificial Intelligence, Computer Networks and Communications, Pulmonary and Respiratory Medicine and Geometry and Topology, having authored 16 papers that have together received 571 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (6 papers), Genomics and Chromatin Dynamics (5 papers), Genomics and Phylogenetic Studies (5 papers), Algorithms and Data Compression (3 papers), Blood properties and coagulation (2 papers), Gene expression and cancer classification (2 papers), Geometric Analysis and Curvature Flows (2 papers) and Geometry and complex manifolds (2 papers). The work is most often cited by research in Molecular Biology (480 citations), Cell Biology (47 citations), Genetics (67 citations), Plant Science (72 citations) and Aging (3 citations). Edward C. Thayer has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Maynard V. Olson, Linda Riles, Mary P. Leckie, Valerie V. Braden, Stan Letovsky, Doron Lipson, Eldar Giladi, Patrice M. Milos, John F. Thompson and Tal Raz. Their work appears in journals such as Journal of Computational Biology, Experimental Mathematics, Clinical Chemistry, Genetics and Nature Biotechnology.
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.