Danette L. Daniels

7.0k citations
46 papers · 4.1k indexed · 1 hit paper · h-index 29
Topics
Protein Degradation and Inhibitors (23 papers)Ubiquitin and proteasome pathways (15 papers)Multiple Myeloma Research and Treatments (9 papers)

In The Last Decade

Danette L. Daniels

46 papers receiving 4.1k citations

Hit Papers

Trivalent PROTACs enhance protein degradation via combine...2021202620222024202150100150

Peers

Danette L. Daniels
Comparison fields: 5 of 101
  • Molecular Biology 3.7k
  • Oncology 788
  • Hematology 523
  • Cancer Research 306
  • Cell Biology 283
Replace Roy M. Pollock with:
Roy M. Pollock United States
David C. Dalgarno United States
Sheri L. Moores United States
Michael R. Schlabach United States
Dennis L. Buckley United States
Robert J. Sims United States
Fuad Bahram Sweden
Rosa Bernardi Italy
Shanhai Xie United States
Nicolas H. Thomä Switzerland
Danette L. Daniels relative to Roy M. Pollock United States Roy M. Pollock's profile →
Citations per field
00.5×1.5×1.8×
Roy M. Pollock · 1×
Citations per year

Countries citing papers authored by Danette L. Daniels

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Danette L. Daniels

This figure shows the co-authorship network connecting the top 25 collaborators of Danette L. Daniels. A scholar is included among the top collaborators of Danette L. Daniels based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Danette L. Daniels. Danette L. Daniels is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 7
2 14
3 8
4 49
5 96
6
Trivalent PROTACs enhance protein degradation via combined avidity and cooperativitybreakdown →
168
7 10
8 70
9 54
10 37
11 70
12 120
13 111
14 134
15 196
16 8
17 69
18 387
19 145
20 107

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) and Multiple Myeloma Research and Treatments (9 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 Cell, Chemical Society Reviews 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.

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