Daisy Bustos
Impact in
- Molecular Biology top 10%
- Ubiquitin and proteasome pathways
- Glycosylation and Glycoproteins Research
- Protein Degradation and Inhibitors
- Oncology top 10%
- Cancer-related Molecular Pathways
- Peptidase Inhibition and Analysis
Papers in
-
- Ubiquitin and proteasome pathways 9
- Cell death mechanisms and regulation 3
- Protein Degradation and Inhibitors 2
- PI3K/AKT/mTOR signaling in cancer 2
- Oncology 4
- Cancer-related Molecular Pathways 3
- Peptidase Inhibition and Analysis 2
- Co-authors
- Donald S. Kirkpatrick (12 shared papers)Lilian Phu (5 shared papers)Robert F. Kelley (2 shared papers)M Matsumoto (2 shared papers)Vishva M. Dixit (2 shared papers)Katherine E. Wickliffe (1 shared paper)Ivan Bosanac (1 shared paper)S.G. Hymowitz (1 shared paper)
- Journals
- Molecular & Cellular Proteomics (2 papers)The Journal of Cell Biology (1 paper)Journal of Proteome Research (1 paper)Oncotarget (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- United StatesFranceRussia
In The Last Decade
Daisy Bustos
12 papers receiving 896 citations
Peers
Comparison fields: 5 of 74
- Molecular Biology 783
- Oncology 272
- Cell Biology 155
- Aging 15
- Cancer Research 112
Countries citing papers authored by Daisy Bustos
This map shows the geographic impact of Daisy Bustos'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 Daisy Bustos with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daisy Bustos more than expected).
Fields of papers citing papers by Daisy Bustos
This network shows the impact of papers produced by Daisy Bustos. 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 Daisy Bustos. The network helps show where Daisy Bustos may publish in the future.
Co-authors
The 25 scholars most cited alongside Daisy Bustos, 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 | 2010 | 321 | |
| 2 | 2013 | 118 | |
| 3 | 2014 | 110 | |
| 4 | 2010 | 106 | |
| 5 | 2013 | 69 | |
| 6 | 2012 | 53 | |
| 7 | 2013 | 51 | |
| 8 | 2013 | 44 | |
| 9 | 2012 | 20 | |
| 10 | 2015 | 12 | |
| 11 | 2013 | 11 | |
| 12 | 2014 | 9 |
About Daisy Bustos
Daisy Bustos is a scholar working on Molecular Biology, Oncology, Cell Biology, Cellular and Molecular Neuroscience and Pulmonary and Respiratory Medicine, having authored 12 papers that have together received 924 indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (9 papers), Cancer-related Molecular Pathways (3 papers), Cell death mechanisms and regulation (3 papers), Peptidase Inhibition and Analysis (2 papers), Protein Degradation and Inhibitors (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), interferon and immune responses (1 paper) and Neurogenesis and neuroplasticity mechanisms (1 paper). The work is most often cited by research in Molecular Biology (783 citations), Oncology (272 citations), Cell Biology (155 citations), Aging (15 citations) and Cancer Research (112 citations). Daisy Bustos has collaborated with scholars based in United States, France and Russia. Frequent co-authors include Donald S. Kirkpatrick, Lilian Phu, Robert F. Kelley, M Matsumoto, Vishva M. Dixit, Katherine E. Wickliffe, Ivan Bosanac, S.G. Hymowitz, Christine Yu and Michael Rapé. Their work appears in journals such as Molecular & Cellular Proteomics, The Journal of Cell Biology, Journal of Proteome Research, Oncotarget and Journal of Biological Chemistry.
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.