Kelli A. Lytle

18 papers receiving 554 citations

Peers

Kelli A. Lytle
Comparison fields: 5 of 74
  • Endocrinology, Diabetes and Metabolism 189
  • Biochemistry 78
  • Epidemiology 319
  • Nutrition and Dietetics 120
  • Physiology 160
Replace Claude Kohl with:
Claude Kohl France
Taiyu Shen China
Veronika Tillander Sweden
Xi Liang China
E H Mangiapane United Kingdom
Leyre Martínez‐Fernández Spain
Lucı́a Calleja Spain
Ainara Cano Spain
Laura M. Laiglesia Spain
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Citations per field
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Citations per year

Countries citing papers authored by Kelli A. Lytle

Since Specialization
Citations

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

Fields of papers citing papers by Kelli A. Lytle

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017114
2 201561
3 201746
4 201443
5 201538
6 201534
7 201632
8 201929
9 202126
10 201925
11 202123
12 202022
13 201321
14 201420
15 201419
16 20216
17 20233
18 20181
19
DHA and Low-fat Low-cholesterol Diets as Treatment Strategies for Nonalcoholic Fatty Liver Disease
20161
20 20250

About Kelli A. Lytle

Kelli A. Lytle is a scholar working on Epidemiology, Physiology, Endocrinology, Diabetes and Metabolism, Surgery and Agronomy and Crop Science, having authored 21 papers that have together received 564 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (9 papers), Diet, Metabolism, and Disease (8 papers), Adipose Tissue and Metabolism (5 papers), Diet and metabolism studies (4 papers), Fatty Acid Research and Health (3 papers), Reproductive Physiology in Livestock (3 papers), Ruminant Nutrition and Digestive Physiology (2 papers) and Genetic and phenotypic traits in livestock (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (189 citations), Biochemistry (78 citations), Epidemiology (319 citations), Nutrition and Dietetics (120 citations) and Physiology (160 citations). Kelli A. Lytle has collaborated with scholars based in United States, Denmark and Brazil. Frequent co-authors include Donald Β. Jump, Christopher M. Depner, Sasmita Tripathy, Carmen P. Wong, Michael D. Jensen, Danae A. Delivanis, Ana E. Espinosa De Ycaza, Manuel García‐Jaramillo, Esben Søndergaard and Barbara Gisella Carranza Leon. Their work appears in journals such as Obesity, The Journal of Clinical Endocrinology & Metabolism, Journal of Lipid Research, Journal of Animal Science and PLoS ONE.

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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