Jacqueline E. Day

917 citations
12 papers · 382 indexed · h-index 9
Topics
Pharmacological Effects of Natural Compounds (3 papers)Cytokine Signaling Pathways and Interactions (3 papers)Bioactive Compounds and Antitumor Agents (2 papers)
Partner nations
United StatesNetherlands

In The Last Decade

Jacqueline E. Day

12 papers receiving 370 citations

Peers

Jacqueline E. Day
Comparison fields: 5 of 67
  • Molecular Biology 164
  • Oncology 146
  • Organic Chemistry 77
  • Computational Theory and Mathematics 58
  • Genetics 53
Replace Ayako Moritomo with:
Ayako Moritomo Japan
Stephanos Ioannidis United States
Theresa Johnson United States
Richard D. Caldwell United States
Mark Sales United Kingdom
Adrian D. Hobson United States
Hisao Hamaguchi Japan
Yibin Zeng United States
Attilla Ting United Kingdom
Gary A. Cain United States
Jacqueline E. Day relative to Ayako Moritomo Japan Ayako Moritomo's profile →
Citations per field
00.5×1.5×1.8×
Ayako Moritomo · 1×
Citations per year

Countries citing papers authored by Jacqueline E. Day

Since Specialization
Citations

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

Fields of papers citing papers by Jacqueline E. Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacqueline E. Day. 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 Jacqueline E. Day. The network helps show where Jacqueline E. Day may publish in the future.

Co-authorship network of co-authors of Jacqueline E. Day

This figure shows the co-authorship network connecting the top 25 collaborators of Jacqueline E. Day. A scholar is included among the top collaborators of Jacqueline E. Day 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 Jacqueline E. Day. Jacqueline E. Day is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 13
2 18
3 173
4 4
5 9
6 31
7 18
8 4
9 4
10 41
11 43
12 24

About Jacqueline E. Day

Jacqueline E. Day is a scholar working on Toxicology, Pharmacology and Genetics, having authored 12 papers that have together received 382 indexed citations. Recurring topics across this work include Pharmacological Effects of Natural Compounds (3 papers), Cytokine Signaling Pathways and Interactions (3 papers) and Bioactive Compounds and Antitumor Agents (2 papers). The work is most often cited by research in Oncology (146 citations), Genetics (53 citations) and Pharmacology (37 citations). Jacqueline E. Day has collaborated with scholars based in United States and Netherlands. Frequent co-authors include James R. Kiefer, Robin A. Weinberg, Alfredo G. Tomasselli, Troii Hall, Jennifer M. Williams, Jill Chrencik, Thomas L. Emmons, Timothy E. Benson, Joseph W. Leone and Jeffrey L. Hirsch. Their work appears in journals such as Journal of Molecular Biology, Biochemical and Biophysical Research Communications and Bioorganic & Medicinal 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026