Emma Clement

6.6k citations
37 papers · 1.3k indexed · h-index 16

Impact in

  • Genetics top 5%
    • Neurogenetic and Muscular Disorders Research
    • Genomics and Rare Diseases
    • Cell Adhesion Molecules Research

Papers in

Emma Clement

33 papers receiving 1.2k citations

Peers

Emma Clement
Comparison fields: 5 of 81
  • Genetics 217
  • Immunology and Allergy 102
  • Molecular Biology 968
  • Cardiology and Cardiovascular Medicine 245
  • Genetics 294
Replace Genri Kawahara with:
Genri Kawahara United States
Paola Prandini Italy
Līvija Medne United States
P. Gallano Spain
Michele Hadhazy United States
Rita Barresi United Kingdom
Andoni Urtizberea France
Ikuya Nonaka Japan
Paul J. Yaworsky United States
J.G. Dickson United Kingdom
Emma Clement relative to Genri Kawahara United States Genri Kawahara's profile →
Citations per field
00.5×2.6×
Genri Kawahara · 1×
Citations per year

Countries citing papers authored by Emma Clement

Since Specialization
Citations

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

Fields of papers citing papers by Emma Clement

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20234
4 20221
5 20227
6 20221
7 20214
8 202018
9 20194
10 201889
11 201714
12 201241
13 20113
14 201165
15 2010133
16 2009103
17 200857
18 200710
19 20071
20 2006108

About Emma Clement

Emma Clement is a scholar working on Developmental Biology, Sensory Systems, Genetics, Physiology and Molecular Biology, having authored 37 papers that have together received 1.3k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (12 papers), Genomics and Rare Diseases (7 papers), Cardiomyopathy and Myosin Studies (4 papers), Neurogenetic and Muscular Disorders Research (4 papers), Ubiquitin and proteasome pathways (4 papers), Nuclear Structure and Function (3 papers), RNA modifications and cancer (3 papers) and Genetic Neurodegenerative Diseases (3 papers). The work is most often cited by research in Genetics (217 citations), Immunology and Allergy (102 citations), Molecular Biology (968 citations), Cardiology and Cardiovascular Medicine (245 citations) and Genetics (294 citations). Emma Clement has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Caroline Godfrey, Francesco Muntoni, A. Reghan Foley, Stephen Abbs, Eugenio Mercuri, Francesco Muntoni, Caroline A. Sewry, C. Jimenez‐Mallebrera, R. Mein and Lucy Feng. Their work appears in journals such as Neuromuscular Disorders, American Journal of Neuroradiology, Neuroradiology, Annals of Neurology and Orphanet Journal of Rare Diseases.

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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