Darlene B. Royce

2.1k total citations
39 papers, 1.7k citations indexed

About

Darlene B. Royce is a scholar working on Molecular Biology, Oncology and Genetics. According to data from OpenAlex, Darlene B. Royce has authored 39 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Molecular Biology, 11 papers in Oncology and 7 papers in Genetics. Recurrent topics in Darlene B. Royce's work include Genomics, phytochemicals, and oxidative stress (12 papers), Multiple Sclerosis Research Studies (6 papers) and Estrogen and related hormone effects (6 papers). Darlene B. Royce is often cited by papers focused on Genomics, phytochemicals, and oxidative stress (12 papers), Multiple Sclerosis Research Studies (6 papers) and Estrogen and related hormone effects (6 papers). Darlene B. Royce collaborates with scholars based in United States, United Kingdom and Italy. Darlene B. Royce's co-authors include Karen T. Liby, Michael B. Sporn, Charlotte R. Williams, Renee Risingsong, Gordon W. Gribble, Tadashi Honda, Mark M. Yore, Nanjoo Suh, Francesca Gilli and Andrew R. Pachner and has published in prestigious journals such as PLoS ONE, Cancer Research and Clinical Cancer Research.

In The Last Decade

Darlene B. Royce

39 papers receiving 1.7k citations

Peers

Darlene B. Royce
Comparison fields: 5 of 95
  • Molecular Biology 1.3k
  • Oncology 288
  • Immunology 193
  • Cancer Research 192
  • Genetics 167
Tingfang Yi United States
Tatyana A. Zykova United States
Sung‐Gook Cho South Korea
Yinxue Yang China
Ke Yao United States
Julian C. Desmond United States
Dong Joon Kim China
Xianzhong Ding United States
John P. Alao Sweden
ShouWei Han United States
Tingfang Yi United States View profile →
Citations per field, relative to Darlene B. Royce
Darlene B. Royce · 1×
Citations per year, relative to Darlene B. Royce
Darlene B. Royce · 1×

Countries citing papers authored by Darlene B. Royce

Since Specialization
Citations

This map shows the geographic impact of Darlene B. Royce'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 Darlene B. Royce with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Darlene B. Royce more than expected).

Fields of papers citing papers by Darlene B. Royce

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Darlene B. Royce. 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 Darlene B. Royce. The network helps show where Darlene B. Royce may publish in the future.

Co-authorship network of co-authors of Darlene B. Royce

This figure shows the co-authorship network connecting the top 25 collaborators of Darlene B. Royce. A scholar is included among the top collaborators of Darlene B. Royce 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 Darlene B. Royce. Darlene B. Royce 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
# Work Indexed citations
1 18
2 17
3 25
4 1
5 3
6 17
7 4
8 96
9 26
10 16
11 19
12 60
13 26
14 40
15 40
16 78
17 66
18
The triterpenoid, CDDO-methyl ester, and the rexinoid, LG100268, synergize in the prevention of mammary tumors in a mouse model of estrogen receptor-negative breast cancer.
1
19 40
20 239

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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