Hannah Moir

35 papers receiving 656 citations

Peers

Hannah Moir
Comparison fields: 5 of 104
  • Rehabilitation 81
  • Physiology 235
  • Complementary and alternative medicine 60
  • Toxicology 24
  • Orthopedics and Sports Medicine 52
Replace Patrizio Ripari with:
Patrizio Ripari Italy
Jacob L. Erickson United States
Kai Tanabe Japan
Katherine Black New Zealand
Amy E. Mendham South Africa
Alexander Jordan United States
Vicki J. Harber Canada
David Donley United States
Kelly A. Bowden Davies United Kingdom
Carlos Alexandre Fett Brazil
Hannah Moir relative to Patrizio Ripari Italy Patrizio Ripari's profile →
Citations per field
00.5×12×
Patrizio Ripari · 1×
Citations per year

Countries citing papers authored by Hannah Moir

Since Specialization
Citations

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

Fields of papers citing papers by Hannah Moir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hannah Moir, 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 Hannah Moir Line = papers co-authored together Hannah Moir 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 2019182
2 201164
3 201837
4 202237
5 201535
6 201528
7 202026
8 201422
9 201922
10 202121
11 202019
12 201016
13 201416
14 201413
15
Genes and Elite Marathon Running Performance: A Systematic Review.
201913
16 201711
17 201911
18 201910
19 200810
20 202010

About Hannah Moir

Hannah Moir is a scholar working on Physiology, Molecular Biology, Oncology, Epidemiology and Rehabilitation, having authored 38 papers that have together received 667 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (6 papers), Cancer survivorship and care (4 papers), Physical Activity and Health (4 papers), Exercise and Physiological Responses (4 papers), Obesity, Physical Activity, Diet (3 papers), Muscle metabolism and nutrition (3 papers), Forensic Toxicology and Drug Analysis (3 papers) and Adipokines, Inflammation, and Metabolic Diseases (3 papers). The work is most often cited by research in Rehabilitation (81 citations), Physiology (235 citations), Complementary and alternative medicine (60 citations), Toxicology (24 citations) and Orthopedics and Sports Medicine (52 citations). Hannah Moir has collaborated with scholars based in United Kingdom, Spain and Singapore. Frequent co-authors include Dirk Folkerts, Judith Allgrove, Emmanuel Stamatakis, Chris Easton, Owen Spendiff, Lee Butcher, Christopher Howe, Michael G. Hughes, Pedro Tauler and Sonia Gómez Martínez. Their work appears in journals such as Journal of Sports Sciences, Journal of Applied Physiology, Medicine & Science in Sports & Exercise, Journal of the American College of Nutrition and Applied Sciences.

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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