Amanda E. Starr
Impact in
- Cancer Research top 2%
- Protease and Inhibitor Mechanisms
- Spectroscopy top 1%
- Advanced Proteomics Techniques and Applications
- Mass Spectrometry Techniques and Applications
Papers in
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- Protease and Inhibitor Mechanisms 9
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- Advanced Proteomics Techniques and Applications 6
- Co-authors
- Christopher M. Overall (12 shared papers)Jennifer H. Cox (6 shared papers)Daniel Figeys (11 shared papers)Caroline L. Bellac (4 shared papers)Ulrich auf dem Keller (3 shared papers)Richard A. Dean (2 shared papers)Shelley A. Deeke (8 shared papers)Anna Prudova (2 shared papers)
In The Last Decade
Amanda E. Starr
26 papers receiving 2.7k citations
Amanda E. Starr's Hit Papers
Peers
Comparison fields: 5 of 99
- Cancer Research 614
- Spectroscopy 546
- Molecular Biology 728
- Cellular and Molecular Neuroscience 160
- Genetics 254
Countries citing papers authored by Amanda E. Starr
This map shows the geographic impact of Amanda E. Starr'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 Amanda E. Starr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amanda E. Starr more than expected).
Fields of papers citing papers by Amanda E. Starr
This network shows the impact of papers produced by Amanda E. Starr. 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 Amanda E. Starr. The network helps show where Amanda E. Starr may publish in the future.
Co-authors
The 25 scholars most cited alongside Amanda E. Starr, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Isotopic labeling of terminal amines in complex samples identifies protein N-termini and protease cleavage products Hit paper breakdown → | 2010 | 473 |
| 2 | 2016 | 368 | |
| 3 | 2018 | 221 | |
| 4 | 2008 | 211 | |
| 5 | 2007 | 189 | |
| 6 | 2015 | 174 | |
| 7 | 1993 | 171 | |
| 8 | 2014 | 135 | |
| 9 | 2014 | 96 | |
| 10 | 2012 | 83 | |
| 11 | 2016 | 81 | |
| 12 | 2008 | 80 | |
| 13 | 2015 | 76 | |
| 14 | 2011 | 74 | |
| 15 | 2010 | 62 | |
| 16 | 2011 | 59 | |
| 17 | 2015 | 53 | |
| 18 | 2017 | 51 | |
| 19 | 2016 | 31 | |
| 20 | 2018 | 25 |
About Amanda E. Starr
Amanda E. Starr is a scholar working on Cancer Research, Spectroscopy, Oncology, Genetics and Microbiology, having authored 26 papers that have together received 2.8k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (9 papers), Advanced Proteomics Techniques and Applications (6 papers), Chemokine receptors and signaling (6 papers), Inflammatory Bowel Disease (5 papers), Gut microbiota and health (2 papers), Microbial infections and disease research (2 papers), Cholesterol and Lipid Metabolism (1 paper) and Rheumatoid Arthritis Research and Therapies (1 paper). The work is most often cited by research in Cancer Research (614 citations), Spectroscopy (546 citations), Molecular Biology (728 citations), Cellular and Molecular Neuroscience (160 citations) and Genetics (254 citations). Amanda E. Starr has collaborated with scholars based in Canada, China and Egypt. Frequent co-authors include Christopher M. Overall, Jennifer H. Cox, Daniel Figeys, Caroline L. Bellac, Ulrich auf dem Keller, Richard A. Dean, Shelley A. Deeke, Anna Prudova, Oliver Schilling and Zhibin Ning. Their work appears in journals such as Analytical Chemistry, Journal of Biological Chemistry, Nature Communications, Blood and Methods in enzymology on CD-ROM/Methods in enzymology.
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.