Hannah Moir

36 papers receiving 677 citations

Peers

Hannah Moir
Comparison fields: 5 of 106
  • Rehabilitation 84
  • Physiology 243
  • Complementary and alternative medicine 60
  • Toxicology 25
  • Orthopedics and Sports Medicine 56
Replace Jacob L. Erickson with:
Jacob L. Erickson United States
Patrizio Ripari Italy
Kai Tanabe Japan
Kelley Strohacker United States
Yi‐Sub Kwak South Korea
Maria Paula Mota Portugal
Sarah Gilchrist United Kingdom
Heiko Striegel Germany
Amy E. Mendham South Africa
Carlos Alexandre Fett Brazil
Hannah Moir relative to Jacob L. Erickson United States Jacob L. Erickson's profile →
Citations per field
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Jacob L. Erickson · 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 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2019188
2 201166
3 201838
4 202237
5 201535
6 201528
7 202026
8 201923
9 201422
10 202122
11 202019
12 201017
13 201416
14
Genes and Elite Marathon Running Performance: A Systematic Review.
201916
15 201414
16 202013
17 201712
18 200811
19 201911
20 201910

About Hannah Moir

Hannah Moir is a scholar working on Physiology, Molecular Biology, Oncology, Epidemiology and Rehabilitation, having authored 40 papers that have together received 695 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (6 papers), Muscle metabolism and nutrition (4 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), 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 (84 citations), Physiology (243 citations), Complementary and alternative medicine (60 citations), Toxicology (25 citations) and Orthopedics and Sports Medicine (56 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, Christopher Howe, Michael G. Hughes, Lee Butcher, Sonia Gómez Martínez and Pedro Tauler. Their work appears in journals such as Journal of Sports Sciences, Journal of Applied Physiology, Medicine Science and the Law, Applied Physiology Nutrition and Metabolism and Journal of Cancer Survivorship.

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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