D. Gardner‐Medwin

4.6k citations
111 papers · 3.4k indexed · h-index 33

Impact in

    • Metabolism and Genetic Disorders
  • Genetics top 2%
    • Neurogenetic and Muscular Disorders Research
    • Genetics and Neurodevelopmental Disorders

Papers in

D. Gardner‐Medwin

105 papers receiving 3.2k citations

Peers

D. Gardner‐Medwin
Comparison fields: 5 of 123
  • Clinical Biochemistry 374
  • Genetics 581
  • Molecular Biology 2.2k
  • Cellular and Molecular Neuroscience 544
  • Cardiology and Cardiovascular Medicine 569
Replace F. Cornelio with:
F. Cornelio Italy
Lucía Morandi Italy
Beril Talim Türkiye
Thomas Voït Germany
John T. Sladky United States
P. Hudgson United Kingdom
Betty Q. Banker United States
Morten Dunø Denmark
Hirofumi Komaki Japan
Emma Ciafaloni United States
D. Gardner‐Medwin relative to F. Cornelio Italy F. Cornelio's profile →
Citations per field
00.5×1.6×
F. Cornelio · 1×
Citations per year

Countries citing papers authored by D. Gardner‐Medwin

Since Specialization
Citations

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

Fields of papers citing papers by D. Gardner‐Medwin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. Gardner‐Medwin. 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 D. Gardner‐Medwin. The network helps show where D. Gardner‐Medwin may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 200116
2 200166
3 199684
4 199514
5 199450
6 1993140
7 199350
8 199122
9 19901
10 1990127
11 199012
12 1989116
13 198919
14 198917
15 198819
16 198617
17 198519
18 1980100
19
Children with genetic muscular disorders.
19776
20 196930

About D. Gardner‐Medwin

D. Gardner‐Medwin is a scholar working on Clinical Biochemistry, Genetics, Molecular Biology, Cellular and Molecular Neuroscience and Neurology, having authored 111 papers that have together received 3.4k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (38 papers), Genetic Neurodegenerative Diseases (13 papers), Neurogenetic and Muscular Disorders Research (11 papers), Metabolism and Genetic Disorders (10 papers), Adipose Tissue and Metabolism (9 papers), Mitochondrial Function and Pathology (9 papers), Cardiomyopathy and Myosin Studies (8 papers) and Nuclear Structure and Function (7 papers). The work is most often cited by research in Clinical Biochemistry (374 citations), Genetics (581 citations), Molecular Biology (2.2k citations), Cellular and Molecular Neuroscience (544 citations) and Cardiology and Cardiovascular Medicine (569 citations). D. Gardner‐Medwin has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Kate Bushby, P. Hudgson, L. V. B. Nicholson, J. N. Walton, R. J. Pennington, K. Bushby, Mark A. Johnson, John Burn, J.B. Harris and K. Hall. Their work appears in journals such as Journal of the Neurological Sciences, Developmental Medicine & Child Neurology, Journal of Medical Genetics, Archives of Disease in Childhood and Neurology.

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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