Anna Shemorry
Impact in
- Oncology top 5%
- Peptidase Inhibition and Analysis
- Molecular Biology top 10%
- Ubiquitin and proteasome pathways
- Signaling Pathways in Disease
- Protein Degradation and Inhibitors
- Cancer-related gene regulation
Papers in ⓘ
- Oncology 3
- Peptidase Inhibition and Analysis 3
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- Ubiquitin and proteasome pathways 4
- Signaling Pathways in Disease 1
- Epigenetics and DNA Methylation 1
- Cancer-related gene regulation 1
- Fungal and yeast genetics research 1
- Co-authors
- Cheol‐Sang Hwang (4 shared papers)Alexander Varshavsky (4 shared papers)Daniel Auerbach (1 shared paper)Giang T. Ong (1 shared paper)Brian M. Wasko (1 shared paper)Daniel P. Nickerson (1 shared paper)Maitreya J. Dunham (1 shared paper)Matt Kaeberlein (1 shared paper)
- Journals
- Molecular Cell (1 paper)Nature Cell Biology (1 paper)Proceedings of the National Academy of Sciences (1 paper)Aging Cell (1 paper)Science (1 paper)
- Partner nations
- United States
In The Last Decade
Anna Shemorry
5 papers receiving 943 citations
Hit Papers
Peers
Comparison fields: 5 of 61
- Oncology 558
- Molecular Biology 849
- Cell Biology 104
- Cancer Research 89
- Aging 9
Countries citing papers authored by Anna Shemorry
This map shows the geographic impact of Anna Shemorry'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 Anna Shemorry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Shemorry more than expected).
Fields of papers citing papers by Anna Shemorry
This network shows the impact of papers produced by Anna Shemorry. 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 Anna Shemorry. The network helps show where Anna Shemorry may publish in the future.
Co-authors
The 12 scholars most cited alongside Anna Shemorry, 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 | N-Terminal Acetylation of Cellular Proteins Creates Specific Degradation Signals Hit paper breakdown → | 2010 | 524 |
| 2 | 2013 | 227 | |
| 3 | 2010 | 115 | |
| 4 | 2009 | 65 | |
| 5 | 2016 | 19 |
About Anna Shemorry
Anna Shemorry is a scholar working on Oncology, Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience and Genetics, having authored 5 papers that have together received 950 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (4 papers), Peptidase Inhibition and Analysis (3 papers), Signaling Pathways in Disease (1 paper), Epigenetics and DNA Methylation (1 paper), Cancer-related gene regulation (1 paper), Genetic Neurodegenerative Diseases (1 paper), Genetics and Neurodevelopmental Disorders (1 paper) and Fungal and yeast genetics research (1 paper). The work is most often cited by research in Oncology (558 citations), Molecular Biology (849 citations), Cell Biology (104 citations), Cancer Research (89 citations) and Aging (9 citations). Anna Shemorry has collaborated with scholars based in United States. Frequent co-authors include Cheol‐Sang Hwang, Alexander Varshavsky, Daniel Auerbach, Giang T. Ong, Brian M. Wasko, Daniel P. Nickerson, Maitreya J. Dunham, Matt Kaeberlein, Anna B. Sunshine and Alexey J. Merz. Their work appears in journals such as Molecular Cell, Nature Cell Biology, Proceedings of the National Academy of Sciences, Aging Cell and Science.
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.