Deva Situnayake

1.2k citations
24 papers · 783 indexed · h-index 13

Deva Situnayake

22 papers receiving 758 citations

Peers

Deva Situnayake
Comparison fields: 5 of 72
  • Rheumatology 575
  • Hematology 123
  • Ophthalmology 99
  • Immunology 155
  • Hepatology 47
Replace G S Alarcón with:
G S Alarcón United States
Gülşen Özen Türkiye
Döndü Üsküdar Cansu Türkiye
Eva Salgado Spain
Robin Munro United Kingdom
Anne‐Barbara Mongey United States
J.-F. Besancenot France
Joyce Z. Singer United States
Shirish Dubey United Kingdom
R Myllykangas-Luosujärvi Finland
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Citations per field
00.5×6.4×
G S Alarcón · 1×
Citations per year

Countries citing papers authored by Deva Situnayake

Since Specialization
Citations

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

Fields of papers citing papers by Deva Situnayake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20244
2 20240
3 20231
4 20211
5 201717
6
Serum lipopolysaccharide levels are associated with disease activity of the oral mucous membrane in Behçet’s Disease.
20161
7 201532
8 201483
9 201213
10 201215
11 201049
12 20109
13 20072
14 2007113
15
Predictive value of antibodies to cyclic citrullinated peptide in patients with very early inflammatory arthritis.
2005119
16 200498
17 20034
18 20026
19 200226
20 198699

About Deva Situnayake

Deva Situnayake is a scholar working on Rheumatology, Ophthalmology, Genetics, Hepatology and Hematology, having authored 24 papers that have together received 783 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (11 papers), Ocular Diseases and Behçet’s Syndrome (10 papers), Rheumatoid Arthritis Research and Therapies (7 papers), Chronic Lymphocytic Leukemia Research (4 papers), Otitis Media and Relapsing Polychondritis (4 papers), Retinal and Optic Conditions (3 papers), Vasculitis and related conditions (3 papers) and Autoimmune and Inflammatory Disorders Research (2 papers). The work is most often cited by research in Rheumatology (575 citations), Hematology (123 citations), Ophthalmology (99 citations), Immunology (155 citations) and Hepatology (47 citations). Deva Situnayake has collaborated with scholars based in United Kingdom, France and United States. Frequent co-authors include Caroline Gordon, Karim Raza, Christopher D. Buckley, Simon Bowman, Kanta Kumar, David Carruthers, V. Toescu, H A Capell, B McConkey and D E Bax. Their work appears in journals such as Lara D. Veeken, Lupus, Annals of the Rheumatic Diseases, BMC Musculoskeletal Disorders and British Journal of Ophthalmology.

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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