Catherine DeVile

36 papers receiving 1.0k citations

Peers

Catherine DeVile
Comparison fields: 5 of 88
  • Clinical Biochemistry 128
  • Genetics 122
  • Cell Biology 182
  • Endocrinology, Diabetes and Metabolism 183
  • Neurology 154
Replace Caroline Sevin with:
Caroline Sevin France
Parayil Sankaran Bindu India
Richard Ziegler United States
Nancy D. Leslie United States
Carolina Fischinger Moura de Souza Brazil
Julian Raiman Canada
Philippe Latour France
J. Peiffer Germany
Esther M. Maier Germany
W. Mortier Germany
Catherine DeVile relative to Caroline Sevin France Caroline Sevin's profile →
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Citations per year

Countries citing papers authored by Catherine DeVile

Since Specialization
Citations

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

Fields of papers citing papers by Catherine DeVile

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008177
2 1996129
3 2018104
4 201163
5 201161
6 200359
7 200744
8 201342
9 201637
10 201336
11 199533
12 199732
13 202030
14 200526
15 201924
16 200722
17 201916
18 201816
19 201814
20 200614

About Catherine DeVile

Catherine DeVile is a scholar working on Genetics, Molecular Biology, Pediatrics, Perinatology and Child Health, Epidemiology and Surgery, having authored 36 papers that have together received 1.1k indexed citations. Recurring topics across this work include Connective tissue disorders research (10 papers), Bone fractures and treatments (5 papers), Hereditary Neurological Disorders (3 papers), Hip disorders and treatments (3 papers), Metabolism and Genetic Disorders (3 papers), Bone and Dental Protein Studies (3 papers), Myasthenia Gravis and Thymoma (3 papers) and Growth Hormone and Insulin-like Growth Factors (3 papers). The work is most often cited by research in Clinical Biochemistry (128 citations), Genetics (122 citations), Cell Biology (182 citations), Endocrinology, Diabetes and Metabolism (183 citations) and Neurology (154 citations). Catherine DeVile has collaborated with scholars based in United Kingdom, India and Sweden. Frequent co-authors include R Stanhope, David Grant, Richard Hayward, Ashok Vellodi, Elin Haf Davies, Ivo N. van Schaik, Lucinda Carr, Lyn S. Chitty, Raphael Schiffmann and Markus Ries. Their work appears in journals such as Neuromuscular Disorders, Disability and health journal, Acta Paediatrica, Archives of Disease in Childhood and European Journal of Human Genetics.

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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