Katy Horner

1.3k citations
38 papers · 746 · h-index 16

Impact in

Papers in

Katy Horner

36 papers receiving 736 citations

Peers

Katy Horner
Comparison fields: 5 of 99
  • Endocrine and Autonomic Systems 100
  • Physiology 361
  • Rehabilitation 74
  • Cell Biology 166
  • Orthopedics and Sports Medicine 59
Replace David J. Clayton with:
David J. Clayton United Kingdom
Jeffrey A. Rothschild New Zealand
Alice E. Thackray United Kingdom
David J. Muggeridge United Kingdom
Shanon Casperson United States
Penny Rumbold United Kingdom
Gregory J. Grosicki United States
Adrienne Hatch‐McChesney United States
Madeline M Jeansonne United States
Meghan A. Brown United States
Katy Horner relative to David J. Clayton United Kingdom David J. Clayton's profile →
Citations per field
00.5×1.6×
David J. Clayton · 1×
Citations per year

Countries citing papers authored by Katy Horner

Since Specialization
Citations

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

Fields of papers citing papers by Katy Horner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Katy Horner. 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 Katy Horner. The network helps show where Katy Horner may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011132
2 201498
3 201974
4 201145
5 201644
6 201437
7 202132
8 202227
9 201526
10 201522
11 202021
12 201621
13 201920
14 202018
15 202316
16 201616
17 202015
18 202113
19 202011
20 201810

About Katy Horner

Katy Horner is a scholar working on Physiology, Public Health, Environmental and Occupational Health, Cell Biology, Clinical Psychology and Endocrine and Autonomic Systems, having authored 38 papers that have together received 746 indexed citations. Recurring topics across this work include Diet and metabolism studies (13 papers), Muscle metabolism and nutrition (10 papers), Nutrition and Health in Aging (8 papers), Eating Disorders and Behaviors (7 papers), Obesity, Physical Activity, Diet (7 papers), Regulation of Appetite and Obesity (7 papers), Sports Performance and Training (5 papers) and Dietary Effects on Health (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (100 citations), Physiology (361 citations), Rehabilitation (74 citations), Cell Biology (166 citations) and Orthopedics and Sports Medicine (59 citations). Katy Horner has collaborated with scholars based in Ireland, Australia and United Kingdom. Frequent co-authors include Nuala M. Byrne, Neil A. King, Lorraine Brennan, Ben Desbrow, Matthew M. Schubert, Graham Finlayson, Shane M. Heffernan, Gillian E. Conway, Giuseppe De Vito and SoJung Lee. Their work appears in journals such as Nutrients, Proceedings of The Nutrition Society, Appetite, Nutrition Research Reviews and Sports Medicine.

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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