Amy E. Keating
Impact in
- Molecular Biology top 2%
- RNA and protein synthesis mechanisms
- Protein Structure and Dynamics
- Chemical Synthesis and Analysis
- Glycosylation and Glycoproteins Research
- Cell Biology top 5%
Papers in
-
- RNA and protein synthesis mechanisms 33
- Protein Structure and Dynamics 24
- Machine Learning in Bioinformatics 13
- Cell death mechanisms and regulation 11
- Chemical Synthesis and Analysis 9
- Glycosylation and Glycoproteins Research 8
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- Enzyme Structure and Function 11
- Co-authors
- Gevorg Grigoryan (14 shared papers)J. Robert Newman (1 shared paper)Robert A. Grant (6 shared papers)Gideon Schreiber (1 shared paper)Bonnie Berger (2 shared papers)Taijiao Jiang (2 shared papers)K. N. Houk (7 shared papers)Orr Ashenberg (4 shared papers)
- Journals
- Protein Science (12 papers)Journal of Molecular Biology (11 papers)Journal of the American Chemical Society (8 papers)Proceedings of the National Academy of Sciences (5 papers)PLoS Computational Biology (4 papers)
- Partner nations
- United StatesCanadaIndia
In The Last Decade
Amy E. Keating
94 papers receiving 4.9k citations
Peers
Comparison fields: 5 of 120
- Molecular Biology 3.7k
- Cell Biology 446
- Radiology, Nuclear Medicine and Imaging 489
- Aging 40
- Biotechnology 178
Countries citing papers authored by Amy E. Keating
This map shows the geographic impact of Amy E. Keating'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 Amy E. Keating with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amy E. Keating more than expected).
Fields of papers citing papers by Amy E. Keating
This network shows the impact of papers produced by Amy E. Keating. 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 Amy E. Keating. The network helps show where Amy E. Keating may publish in the future.
Co-authors
The 25 scholars most cited alongside Amy E. Keating, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 393 | |
| 2 | 2005 | 351 | |
| 3 | 2009 | 296 | |
| 4 | 2008 | 244 | |
| 5 | 2010 | 212 | |
| 6 | 2002 | 195 | |
| 7 | 2012 | 177 | |
| 8 | 2010 | 162 | |
| 9 | 2013 | 150 | |
| 10 | 2015 | 131 | |
| 11 | 2017 | 116 | |
| 12 | 2010 | 113 | |
| 13 | 1996 | 97 | |
| 14 | 2004 | 94 | |
| 15 | 2012 | 88 | |
| 16 | 2010 | 87 | |
| 17 | 2001 | 80 | |
| 18 | 1999 | 74 | |
| 19 | 2011 | 72 | |
| 20 | 2007 | 67 |
About Amy E. Keating
Amy E. Keating is a scholar working on Molecular Biology, Materials Chemistry, Organic Chemistry, Immunology and Oncology, having authored 95 papers that have together received 4.9k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (33 papers), Protein Structure and Dynamics (24 papers), Machine Learning in Bioinformatics (13 papers), Enzyme Structure and Function (11 papers), Cell death mechanisms and regulation (11 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Chemical Synthesis and Analysis (9 papers) and Glycosylation and Glycoproteins Research (8 papers). The work is most often cited by research in Molecular Biology (3.7k citations), Cell Biology (446 citations), Radiology, Nuclear Medicine and Imaging (489 citations), Aging (40 citations) and Biotechnology (178 citations). Amy E. Keating has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Gevorg Grigoryan, J. Robert Newman, Robert A. Grant, Gideon Schreiber, Bonnie Berger, Taijiao Jiang, K. N. Houk, Orr Ashenberg, James R. Apgar and T. Scott Chen. Their work appears in journals such as Protein Science, Journal of Molecular Biology, Journal of the American Chemical Society, Proceedings of the National Academy of Sciences and PLoS Computational 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.