Kacey J. Prentice

25 papers receiving 1.3k citations

Peers

Kacey J. Prentice
Comparison fields: 5 of 101
  • Obstetrics and Gynecology 151
  • Geriatrics and Gerontology 57
  • Endocrinology, Diabetes and Metabolism 236
  • Physiology 348
  • Nutrition and Dietetics 178
Replace Feihan F. Dai with:
Feihan F. Dai Canada
Isabelle Chénier Canada
Danielle A. Guimarães Brazil
Xiongzhong Ruan China
Guixia Ding China
Alpana Bhattacharjee Canada
Shumei Meng United States
Lance Yi Xu New Zealand
Battsetseg Batchuluun Canada
Hiroyuki Unoki‐Kubota Japan
Kacey J. Prentice relative to Feihan F. Dai Canada Feihan F. Dai's profile →
Citations per field
00.5×1.5×
Feihan F. Dai · 1×
Citations per year

Countries citing papers authored by Kacey J. Prentice

Since Specialization
Citations

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

Fields of papers citing papers by Kacey J. Prentice

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kacey J. Prentice. 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 Kacey J. Prentice. The network helps show where Kacey J. Prentice may publish in the future.

Co-authors

The 25 scholars most cited alongside Kacey J. Prentice, 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 Kacey J. Prentice Line = papers co-authored together Kacey J. Prentice links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014132
2 2019128
3 2016125
4 2011122
5 2011106
6 2018100
7 201367
8 201564
9 202161
10 201359
11 201253
12 201646
13 201738
14 201835
15 201629
16 201528
17 201124
18 201719
19 201815
20 201510

About Kacey J. Prentice

Kacey J. Prentice is a scholar working on Molecular Biology, Surgery, Physiology, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 26 papers that have together received 1.3k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (12 papers), Adipose Tissue and Metabolism (9 papers), Metabolism, Diabetes, and Cancer (5 papers), Diabetes and associated disorders (3 papers), Trace Elements in Health (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Diabetes Management and Research (2 papers) and Metabolism and Genetic Disorders (2 papers). The work is most often cited by research in Obstetrics and Gynecology (151 citations), Geriatrics and Gerontology (57 citations), Endocrinology, Diabetes and Metabolism (236 citations), Physiology (348 citations) and Nutrition and Dietetics (178 citations). Kacey J. Prentice has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Michael B. Wheeler, Ying Liu, Gökhan S. Hotamışlıgil, Jani Saksi, Alexandre B. Hardy, Feihan F. Dai, Emma M. Allister, Alpana Bhattacharjee, Battsetseg Batchuluun and Erica P. Gunderson. Their work appears in journals such as Diabetes, Diabetes Obesity and Metabolism, Diabetologia, Journal of Lipid Research 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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