Danette L. Daniels
- Molecular Biology top 2%
- Protein Degradation and Inhibitors 23
- Ubiquitin and proteasome pathways 15
- Histone Deacetylase Inhibitors Research 7
- RNA Research and Splicing 7
- RNA modifications and cancer 6
- Genomics and Chromatin Dynamics 5
- Epigenetics and DNA Methylation 4
- Hematology top 2%
- Multiple Myeloma Research and Treatments 9
- Oncology top 5%
- Cancer Research top 10%
- Cell Biology top 5%
- Co-authors
- William I. WeisMarjeta UrhKristin M. RichingMarie K. SchwinnJacqui MéndezMatthew B. RobersSarah D. MahanThomas Machleidt
- Cited by
- Molecular BiologyHematologyOncology
- Partner nations
- United StatesUnited KingdomItaly
In The Last Decade
Danette L. Daniels
46 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 101
- Molecular Biology 3.7k
- Hematology 523
- Oncology 788
- Cancer Research 306
- Cell Biology 283
Countries citing papers authored by Danette L. Daniels
This map shows the geographic impact of Danette L. Daniels'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 Danette L. Daniels with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Danette L. Daniels more than expected).
Fields of papers citing papers by Danette L. Daniels
This network shows the impact of papers produced by Danette L. Daniels. 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 Danette L. Daniels. The network helps show where Danette L. Daniels may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Danette L. Daniels, 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 | 2023 | 7 | |
| 2 | 2023 | 14 | |
| 3 | 2023 | 8 | |
| 4 | 2022 | 49 | |
| 5 | 2021 | 96 | |
| 6 | Trivalent PROTACs enhance protein degradation via combined avidity and cooperativitybreakdown → | 2021 | 168 |
| 7 | 2021 | 10 | |
| 8 | 2019 | 70 | |
| 9 | 2018 | 54 | |
| 10 | 2018 | 37 | |
| 11 | 2016 | 70 | |
| 12 | 2016 | 120 | |
| 13 | 2015 | 111 | |
| 14 | 2015 | 134 | |
| 15 | 2015 | 196 | |
| 16 | 2014 | 8 | |
| 17 | 2013 | 69 | |
| 18 | 2013 | 387 | |
| 19 | 2002 | 145 | |
| 20 | 1996 | 107 |
About Danette L. Daniels
Danette L. Daniels is a scholar working on Hematology, Molecular Biology and Cell Biology, having authored 46 papers that have together received 4.1k indexed citations. Recurring topics across this work include Protein Degradation and Inhibitors (23 papers), Ubiquitin and proteasome pathways (15 papers), Multiple Myeloma Research and Treatments (9 papers), Histone Deacetylase Inhibitors Research (7 papers), RNA Research and Splicing (7 papers), RNA modifications and cancer (6 papers), Genomics and Chromatin Dynamics (5 papers) and Epigenetics and DNA Methylation (4 papers). The work is most often cited by research in Molecular Biology (3.7k citations), Hematology (523 citations) and Oncology (788 citations). Danette L. Daniels has collaborated with scholars based in United States, United Kingdom and Italy. Frequent co-authors include William I. Weis, Marjeta Urh, Kristin M. Riching, Marie K. Schwinn, Jacqui Méndez, Matthew B. Robers, Sarah D. Mahan, Thomas Machleidt, Keith V. Wood and Nancy E. Murphy. Their work appears in journals such as Journal of Visualized Experiments, Cell, Molecular Cell, Nature Communications and Trends in Pharmacological Sciences.
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.