Emily A. Day

3.7k citations
27 papers · 2.4k indexed · 3 hit papers · h-index 18

Emily A. Day

27 papers receiving 2.4k citations

Hit Papers

AMPK as a Therapeutic Target for Treating Metabolic Diseases2016202620192022201720162021100200300400500

Peers

Emily A. Day
Comparison fields: 5 of 99
  • Molecular Biology 1.2k
  • Surgery 691
  • Physiology 677
  • Endocrinology, Diabetes and Metabolism 592
  • Epidemiology 543
Replace Zhenwei Gong with:
Zhenwei Gong United States
Josep Julve Spain
Wim Kulik Netherlands
Josefa Girona Spain
Alexandra А. Melnichenko Russia
I. George Fantus Canada
Mark A. Deeg United States
Anca D. Dobrian United States
Shimpei Fujimoto Japan
Gorka San José Spain
Emily A. Day relative to Zhenwei Gong United States Zhenwei Gong's profile →
Citations per field
00.5×10×15×21×
Zhenwei Gong · 1×
Citations per year

Countries citing papers authored by Emily A. Day

Since Specialization
Citations

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

Fields of papers citing papers by Emily A. Day

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emily A. Day

This figure shows the co-authorship network connecting the top 25 collaborators of Emily A. Day. A scholar is included among the top collaborators of Emily A. 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 Emily A. Day. Emily A. Day 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 3
2 2
3 11
4 40
5 15
6 7
7 37
8 8
9 29
10 11
11 13
12 60
13
GDF15: emerging biology and therapeutic applications for obesity and cardiometabolic diseasebreakdown →
296
14 101
15 43
16 30
17 21
18 219
19 327
20 57

About Emily A. Day

Emily A. Day is a scholar working on Physiology, Immunology and Rheumatology, having authored 27 papers that have together received 2.4k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (11 papers), Pancreatic function and diabetes (6 papers) and GDF15 and Related Biomarkers (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (592 citations), Physiology (677 citations) and Rheumatology (361 citations). Emily A. Day has collaborated with scholars based in Canada, United States and Ireland. Frequent co-authors include Gregory R. Steinberg, Rebecca J. Ford, Brennan K. Smith, Logan K. Townsend, Sebastian B. Jørgensen, Dongdong Wang, Djordje Djordjevic, Stephen L. Pinkosky, Richard C. Austin and Šárka Lhoták. Their work appears in journals such as Nature, Proceedings of the National Academy of Sciences 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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