Claire T. Deakin

3.0k citations
46 papers · 1.6k indexed · 1 hit paper · h-index 15
Topics
Inflammatory Myopathies and Dermatomyositis (20 papers)Rheumatoid Arthritis Research and Therapies (9 papers)Autoimmune and Inflammatory Disorders Research (8 papers)

In The Last Decade

Claire T. Deakin

42 papers receiving 1.6k citations

Hit Papers

Male sex identified by global COVID-19 meta-analysis as a...20202026202220242020250500750

Peers

Claire T. Deakin
Comparison fields: 5 of 119
  • Infectious Diseases 585
  • Epidemiology 504
  • Rheumatology 294
  • Immunology 267
  • Neurology 253
Replace Riccardo Castagnoli with:
Riccardo Castagnoli Italy
Anna Radziszewska United Kingdom
Sen Hee Tay Singapore
Naim Mahroum Israel
Hannah Peckham United Kingdom
Carla Felice Italy
Charles Raine United Kingdom
Gemma C. Sharp United Kingdom
Alfred H.J. Kim United States
Juan A. De León-Luis Spain
Claire T. Deakin relative to Riccardo Castagnoli Italy Riccardo Castagnoli's profile →
Citations per field
00.5×1.5×2.3×
Riccardo Castagnoli · 1×
Citations per year

Countries citing papers authored by Claire T. Deakin

Since Specialization
Citations

This map shows the geographic impact of Claire T. Deakin'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 Claire T. Deakin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claire T. Deakin more than expected).

Fields of papers citing papers by Claire T. Deakin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Claire T. Deakin. 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 Claire T. Deakin. The network helps show where Claire T. Deakin may publish in the future.

Co-authorship network of co-authors of Claire T. Deakin

This figure shows the co-authorship network connecting the top 25 collaborators of Claire T. Deakin. A scholar is included among the top collaborators of Claire T. Deakin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Claire T. Deakin. Claire T. Deakin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 6
3 0
4 0
5 1
6 0
7 2
8 1
9 3
10 2
11 2
12 3
13 5
14 26
15 14
16 10
17 33
18 104
19 12
20 28

About Claire T. Deakin

Claire T. Deakin is a scholar working on Rheumatology, Hematology and Immunology, having authored 46 papers that have together received 1.6k indexed citations. Recurring topics across this work include Inflammatory Myopathies and Dermatomyositis (20 papers), Rheumatoid Arthritis Research and Therapies (9 papers) and Autoimmune and Inflammatory Disorders Research (8 papers). The work is most often cited by research in Infectious Diseases (585 citations), Modeling and Simulation (97 citations) and Rheumatology (294 citations). Claire T. Deakin has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Lucy R. Wedderburn, Anna Radziszewska, Coziana Ciurtin, Hannah Peckham, Kate Webb, Elizabeth C. Rosser, Nina M. de Gruijter, Charles Raine, Ian E. Alexander and Clarissa Pilkington. Their work appears in journals such as Nucleic Acids Research, Nature Communications and The Journal of Experimental Medicine.

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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