Danielle J. Sanchez
Impact in
- Cancer Research top 5%
- Cancer, Hypoxia, and Metabolism
- Cancer, Lipids, and Metabolism
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
Papers in
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- Epigenetics and DNA Methylation 3
- Peroxisome Proliferator-Activated Receptors 1
- Ubiquitin and proteasome pathways 1
- Pluripotent Stem Cells Research 1
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- Renal cell carcinoma treatment 2
- Co-authors
- M. Celeste Simon (7 shared papers)Brian Keith (3 shared papers)Bo Li (2 shared papers)Ekaterina Bobrovnikova-Marjon (2 shared papers)J. Alan Diehl (2 shared papers)Alison Grazioli (2 shared papers)Joshua D. Ochocki (2 shared papers)Daniel Ackerman (2 shared papers)
- Journals
- Molecular Cancer Research (3 papers)Biochimica et Biophysica Acta (BBA) - Reviews on Cancer (1 paper)Proceedings of the National Academy of Sciences (1 paper)Molecular Metabolism (1 paper)Cancer Discovery (1 paper)
- Partner nations
- United StatesSlovakiaSwitzerland
In The Last Decade
Danielle J. Sanchez
8 papers receiving 695 citations
Peers
Comparison fields: 5 of 56
- Cancer Research 283
- Biochemistry 103
- Cell Biology 101
- Molecular Biology 369
- Pulmonary and Respiratory Medicine 158
Countries citing papers authored by Danielle J. Sanchez
This map shows the geographic impact of Danielle J. Sanchez'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 Danielle J. Sanchez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danielle J. Sanchez more than expected).
Fields of papers citing papers by Danielle J. Sanchez
This network shows the impact of papers produced by Danielle J. Sanchez. 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 Danielle J. Sanchez. The network helps show where Danielle J. Sanchez may publish in the future.
Co-authors
The 25 scholars most cited alongside Danielle J. Sanchez, 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 | 2015 | 306 | |
| 2 | 2018 | 112 | |
| 3 | 2012 | 109 | |
| 4 | 2018 | 105 | |
| 5 | 2019 | 37 | |
| 6 | 2018 | 20 | |
| 7 | 2021 | 10 | |
| 8 | 2016 | 1 |
About Danielle J. Sanchez
Danielle J. Sanchez is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Surgery and Hematology, having authored 8 papers that have together received 700 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (3 papers), Renal cell carcinoma treatment (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Acute Myeloid Leukemia Research (1 paper), Peroxisome Proliferator-Activated Receptors (1 paper), Ubiquitin and proteasome pathways (1 paper), Pluripotent Stem Cells Research (1 paper) and Endoplasmic Reticulum Stress and Disease (1 paper). The work is most often cited by research in Cancer Research (283 citations), Biochemistry (103 citations), Cell Biology (101 citations), Molecular Biology (369 citations) and Pulmonary and Respiratory Medicine (158 citations). Danielle J. Sanchez has collaborated with scholars based in United States, Slovakia and Switzerland. Frequent co-authors include M. Celeste Simon, Brian Keith, Bo Li, Ekaterina Bobrovnikova-Marjon, J. Alan Diehl, Alison Grazioli, Joshua D. Ochocki, Daniel Ackerman, Bo Qiu and In‐Hyun Park. Their work appears in journals such as Molecular Cancer Research, Biochimica et Biophysica Acta (BBA) - Reviews on Cancer, Proceedings of the National Academy of Sciences, Molecular Metabolism and Cancer Discovery.
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.