Lee Moir

2.4k citations
20 papers · 1.5k · 1 hit paper · h-index 14

Impact in

Papers in

    • Muscle Physiology and Disorders 8
    • Metabolism, Diabetes, and Cancer 4
    • RNA modifications and cancer 3
    • Genetic Syndromes and Imprinting 3
    • Genetic Associations and Epidemiology 3

Lee Moir

20 papers receiving 1.5k citations

Lee Moir's Hit Papers

Overexpression of Fto leads to increased food intake and results in obesity 2010 · 556 citations
5560+5+10Years since publication100200300400500

Peers

Lee Moir
Comparison fields: 5 of 87
  • Endocrine and Autonomic Systems 109
  • Cancer Research 242
  • Genetics 446
  • Molecular Biology 945
  • Physiology 291
Replace Sergio Muñoz with:
Sergio Muñoz Spain
Jens C. Brüning Germany
Samuel T. Nadler United States
Safia Costes France
Alba González-Franquesa Denmark
Melissa Kazantzis United States
Dan L. Li United States
Kristine Griffett United States
Qing Zhou China
Trace Christensen United States
Lee Moir relative to Sergio Muñoz Spain Sergio Muñoz's profile →
Citations per field
00.5×1.5×2.1×
Sergio Muñoz · 1×
Citations per year

Countries citing papers authored by Lee Moir

Since Specialization
Citations

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

Fields of papers citing papers by Lee Moir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1
Overexpression of Fto leads to increased food intake and results in obesity
Hit paper breakdown →
2010556
2 2005337
3 2009258
4 200443
5 201940
6 201337
7 201934
8 201829
9 201823
10 200922
11 201221
12 202015
13 201814
14 201713
15 201210
16 20169
17 20207
18 20235
19 20172
20 20191

About Lee Moir

Lee Moir is a scholar working on Molecular Biology, Genetics, Physiology, Surgery and Cellular and Molecular Neuroscience, having authored 20 papers that have together received 1.5k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (8 papers), Metabolism, Diabetes, and Cancer (4 papers), Adipose Tissue and Metabolism (4 papers), Pancreatic function and diabetes (3 papers), Genetic Syndromes and Imprinting (3 papers), Genetic Associations and Epidemiology (3 papers), RNA modifications and cancer (3 papers) and Exercise and Physiological Responses (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (109 citations), Cancer Research (242 citations), Genetics (446 citations), Molecular Biology (945 citations) and Physiology (291 citations). Lee Moir has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Roger Cox, Chris Church, Fiona McMurray, Lydia Teboul, Gareth Banks, Patrick M. Nolan, Jens C. Brüning, Sara Wells, Christophe A. Girard and Frances M. Ashcroft. Their work appears in journals such as Human Molecular Genetics, Nature Genetics, ACS Medicinal Chemistry Letters, PLoS Genetics and Diabetes.

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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