Karen E. Friday

991 citations
17 papers · 818 indexed · h-index 14

Impact in

Papers in

Karen E. Friday

17 papers receiving 794 citations

Peers

Karen E. Friday
Comparison fields: 5 of 84
  • Endocrinology, Diabetes and Metabolism 373
  • Nutrition and Dietetics 164
  • Biochemistry 57
  • Biochemistry 52
  • Orthopedics and Sports Medicine 60
Replace Ki Ho Song with:
Ki Ho Song South Korea
Richard Reneland Sweden
Nobuki Hayakawa Japan
T. Nakai Japan
Grażyna Bednarek-Tupikowska Poland
Fátima R. Freitas Brazil
Salman Sher United States
Tayze T. Antunes Canada
K. Tayama Japan
Elisabet Hilme Sweden
Karen E. Friday relative to Ki Ho Song South Korea Ki Ho Song's profile →
Citations per field
00.5×4.7×
Ki Ho Song · 1×
Citations per year

Countries citing papers authored by Karen E. Friday

Since Specialization
Citations

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

Fields of papers citing papers by Karen E. Friday

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Karen E. Friday, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Karen E. Friday Line = papers co-authored together Karen E. Friday links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201510
2 200313
3 200162
4 200117
5 200044
6 199943
7 199817
8 199521
9 199447
10 19941
11 1994189
12 199344
13 1991107
14 199135
15 198923
16 1989112
17 198333

About Karen E. Friday

Karen E. Friday is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research, Nutrition and Dietetics, Cardiology and Cardiovascular Medicine and Biochemistry, having authored 17 papers that have together received 818 indexed citations. Recurring topics across this work include Cancer, Lipids, and Metabolism (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Muscle metabolism and nutrition (2 papers), Lipoproteins and Cardiovascular Health (2 papers), Phytoestrogen effects and research (2 papers), Diet and metabolism studies (2 papers), Adipose Tissue and Metabolism (2 papers) and Cholesterol and Lipid Metabolism (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (373 citations), Nutrition and Dietetics (164 citations), Biochemistry (57 citations), Biochemistry (52 citations) and Orthopedics and Sports Medicine (60 citations). Karen E. Friday has collaborated with scholars based in United States and New Zealand. Frequent co-authors include Guy A. Howard, Marian T. Childs, George H. Rothblat, N. Moatti, Natalie Fournier, Margarita de la Llera Moya, Philippe Giral, V. Atger, J.L. Paul and Edwin L. Bierman. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Obstetrical & Gynecological Survey, Metabolism, Journal of Lipid Research and Clinical Endocrinology.

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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