Catherine DeVile

2.1k citations
37 papers · 1.2k · h-index 18

Impact in

Papers in

Catherine DeVile

36 papers receiving 1.1k citations

Peers

Catherine DeVile
Comparison fields: 5 of 72
  • Clinical Biochemistry 132
  • Endocrinology, Diabetes and Metabolism 206
  • Neurology 160
  • Physiology 248
  • Cell Biology 150
Replace Parayil Sankaran Bindu with:
Parayil Sankaran Bindu India
Nancy D. Leslie United States
Glenda Hendson Canada
Denise Cassandrini Italy
Carolina Fischinger Moura de Souza Brazil
Ayşegül Tokatlı Türkiye
Takahiko Saijo Japan
M S Patel United States
J. Peiffer Germany
Federica Deodato Italy
Catherine DeVile relative to Parayil Sankaran Bindu India Parayil Sankaran Bindu's profile →
Citations per field
00.5×5.4×
Parayil Sankaran Bindu · 1×
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 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008194
2 1996159
3 2018107
4 201172
5 200369
6 201164
7 200749
8 201345
9 201640
10 199739
11 201337
12 199534
13 202031
14 200528
15 201925
16 200724
17 201917
18 201817
19 200616
20 200216

About Catherine DeVile

Catherine DeVile is a scholar working on Genetics, Epidemiology, Endocrinology, Diabetes and Metabolism, Neurology and Cellular and Molecular Neuroscience, having authored 37 papers that have together received 1.2k indexed citations. Recurring topics across this work include Connective tissue disorders research (10 papers), Bone fractures and treatments (4 papers), Hereditary Neurological Disorders (3 papers), Myasthenia Gravis and Thymoma (3 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Bone and Dental Protein Studies (2 papers), Cellular transport and secretion (2 papers) and Neonatal and fetal brain pathology (2 papers). The work is most often cited by research in Clinical Biochemistry (132 citations), Endocrinology, Diabetes and Metabolism (206 citations), Neurology (160 citations), Physiology (248 citations) and Cell Biology (150 citations). Catherine DeVile has collaborated with scholars based in United Kingdom, India and Sweden. Frequent co-authors include R Stanhope, David Grant, Richard Hayward, Elin Haf Davies, Ashok Vellodi, Raphael Schiffmann, Markus Ries, Lucinda Carr, Ivo N. van Schaik and Edmond J. FitzGibbon. Their work appears in journals such as Neuromuscular Disorders, Disability and health journal, Acta Paediatrica, Archives of Disease in Childhood and Public Health Genomics.

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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