Deepa J. Arachchillage
- Internal Medicine top 1%
- Venous Thromboembolism Diagnosis and Management 30
- Hematology top 2%
- Blood Coagulation and Thrombosis Mechanisms 16
- Platelet Disorders and Treatments 16
- Rheumatology top 2%
- Systemic Lupus Erythematosus Research 22
- Neurology top 5%
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- Heparin-Induced Thrombocytopenia and Thrombosis 20
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- Mechanical Circulatory Support Devices 14
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- COVID-19 Clinical Research Studies 12
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- Atrial Fibrillation Management and Outcomes 10
- Co-authors
- Hannah CohenMichael LaffanIan MackieSamuel J. MachinMaria EfthymiouRosemary J. BoytonEmily M. WhettlockDaniel M. Altmann
- Journals
- SHILAP Revista de lepidopterología (2 papers)Blood (4 papers)Nature reviews. Immunology (2 papers)
- Partner nations
- United KingdomGermanyFrance
In The Last Decade
Deepa J. Arachchillage
82 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 100
- Internal Medicine 498
- Hematology 570
- Rheumatology 579
- Critical Care and Intensive Care Medicine 147
- Neurology 376
Countries citing papers authored by Deepa J. Arachchillage
This map shows the geographic impact of Deepa J. Arachchillage'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 Deepa J. Arachchillage with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepa J. Arachchillage more than expected).
Fields of papers citing papers by Deepa J. Arachchillage
This network shows the impact of papers produced by Deepa J. Arachchillage. 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 Deepa J. Arachchillage. The network helps show where Deepa J. Arachchillage may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Deepa J. Arachchillage, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 2 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2025 | 0 | |
| 5 | 2024 | 2 | |
| 6 | 2024 | 12 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 6 | |
| 9 | 2024 | 8 | |
| 10 | The immunology of long COVIDbreakdown → | 2023 | 209 |
| 11 | 2023 | 7 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 16 | |
| 14 | 2022 | 46 | |
| 15 | 2020 | 186 | |
| 16 | 2018 | 9 | |
| 17 | 2016 | 35 | |
| 18 | 2016 | 92 | |
| 19 | 2014 | 57 | |
| 20 | 2010 | 10 |
About Deepa J. Arachchillage
Deepa J. Arachchillage is a scholar working on Internal Medicine, Hematology and Critical Care and Intensive Care Medicine, having authored 88 papers that have together received 1.9k indexed citations. Recurring topics across this work include Venous Thromboembolism Diagnosis and Management (30 papers), Systemic Lupus Erythematosus Research (22 papers), Heparin-Induced Thrombocytopenia and Thrombosis (20 papers), Blood Coagulation and Thrombosis Mechanisms (16 papers), Platelet Disorders and Treatments (16 papers), Mechanical Circulatory Support Devices (14 papers), COVID-19 Clinical Research Studies (12 papers) and Atrial Fibrillation Management and Outcomes (10 papers). The work is most often cited by research in Internal Medicine (498 citations), Hematology (570 citations) and Rheumatology (579 citations). Deepa J. Arachchillage has collaborated with scholars based in United Kingdom, Germany and France. Frequent co-authors include Hannah Cohen, Michael Laffan, Ian Mackie, Samuel J. Machin, Maria Efthymiou, Rosemary J. Boyton, Emily M. Whettlock, Daniel M. Altmann, Siyi Liu and David Isenberg. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and Nature reviews. Immunology.
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.