Sarah E. Tully
Impact in
- Cell Biology top 1%
- Proteoglycans and glycosaminoglycans research
- Molecular Biology top 10%
- Glycosylation and Glycoproteins Research
- Lipid Membrane Structure and Behavior
Papers in
-
- Glycosylation and Glycoproteins Research 4
- Receptor Mechanisms and Signaling 3
-
- Proteoglycans and glycosaminoglycans research 6
- Co-authors
- Benjamin F. Cravatt (5 shared papers)Linda C. Hsieh‐Wilson (6 shared papers)Cristal I. Gama (4 shared papers)Manish Rawat (3 shared papers)Micah J. Niphakis (1 shared paper)Jonathan J. Hulce (1 shared paper)Armand B. Cognetta (1 shared paper)Peter M. Clark (2 shared papers)
- Journals
- Journal of the American Chemical Society (3 papers)Nature Methods (2 papers)Proceedings of the National Academy of Sciences (2 papers)Organic Letters (1 paper)FEBS Letters (1 paper)
- Partner nations
- United StatesJapanSouth Korea
In The Last Decade
Sarah E. Tully
14 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 101
- Cell Biology 857
- Molecular Biology 1.2k
- Organic Chemistry 495
- Cellular and Molecular Neuroscience 197
- Immunology and Allergy 64
Countries citing papers authored by Sarah E. Tully
This map shows the geographic impact of Sarah E. Tully'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 Sarah E. Tully with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sarah E. Tully more than expected).
Fields of papers citing papers by Sarah E. Tully
This network shows the impact of papers produced by Sarah E. Tully. 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 Sarah E. Tully. The network helps show where Sarah E. Tully may publish in the future.
Co-authors
The 25 scholars most cited alongside Sarah E. Tully, 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 | 2006 | 454 | |
| 2 | 2013 | 345 | |
| 3 | 2011 | 312 | |
| 4 | 2004 | 136 | |
| 5 | 2012 | 124 | |
| 6 | 2011 | 91 | |
| 7 | 2006 | 90 | |
| 8 | 2007 | 66 | |
| 9 | 2011 | 64 | |
| 10 | 2010 | 54 | |
| 11 | 2001 | 29 | |
| 12 | 2010 | 9 | |
| 13 | 2009 | 6 | |
| 14 | 2002 | 6 |
About Sarah E. Tully
Sarah E. Tully is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Organic Chemistry and Spectroscopy, having authored 14 papers that have together received 1.8k indexed citations. Recurring topics across this work include Proteoglycans and glycosaminoglycans research (6 papers), Glycosylation and Glycoproteins Research (4 papers), Nerve injury and regeneration (3 papers), Receptor Mechanisms and Signaling (3 papers), Cell Adhesion Molecules Research (2 papers), Advanced Proteomics Techniques and Applications (2 papers), Carbohydrate Chemistry and Synthesis (2 papers) and Invertebrate Immune Response Mechanisms (1 paper). The work is most often cited by research in Cell Biology (857 citations), Molecular Biology (1.2k citations), Organic Chemistry (495 citations), Cellular and Molecular Neuroscience (197 citations) and Immunology and Allergy (64 citations). Sarah E. Tully has collaborated with scholars based in United States, Japan and South Korea. Frequent co-authors include Benjamin F. Cravatt, Linda C. Hsieh‐Wilson, Cristal I. Gama, Manish Rawat, Micah J. Niphakis, Jonathan J. Hulce, Armand B. Cognetta, Peter M. Clark, William A. Goddard and Alexander Adibekian. Their work appears in journals such as Journal of the American Chemical Society, Nature Methods, Proceedings of the National Academy of Sciences, Organic Letters and FEBS Letters.
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.