L. Burke
Impact in
- Pathology and Forensic Medicine top 10%
- Systemic Sclerosis and Related Diseases
- Rheumatology top 10%
- Rheumatoid Arthritis Research and Therapies
- Systemic Lupus Erythematosus Research
Papers in
-
- Epigenetics and DNA Methylation 3
- Genomics and Chromatin Dynamics 2
-
- Rheumatoid Arthritis Research and Therapies 3
- Co-authors
- Angelika Jahreis (3 shared papers)Christopher P. Denton (2 shared papers)Dinesh Khanna (2 shared papers)Jacob M. van Laar (2 shared papers)Jeffrey Siegel (2 shared papers)Gerhard Fierlbeck (2 shared papers)Gabriela Riemekasten (2 shared papers)Ulf Müller‐Ladner (2 shared papers)
- Journals
- Annals of the Rheumatic Diseases (3 papers)PLoS ONE (2 papers)Arthritis Care & Research (1 paper)Melanoma Research (1 paper)Epigenetics (1 paper)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
L. Burke
10 papers receiving 367 citations
Peers
Comparison fields: 5 of 44
- Pathology and Forensic Medicine 152
- Rheumatology 102
- Dermatology 33
- Pulmonary and Respiratory Medicine 92
- Immunology 46
Countries citing papers authored by L. Burke
This map shows the geographic impact of L. Burke'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 L. Burke with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L. Burke more than expected).
Fields of papers citing papers by L. Burke
This network shows the impact of papers produced by L. Burke. 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 L. Burke. The network helps show where L. Burke may publish in the future.
Co-authors
The 25 scholars most cited alongside L. Burke, 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 | 2017 | 178 | |
| 2 | 2009 | 62 | |
| 3 | 2010 | 43 | |
| 4 | 2013 | 41 | |
| 5 | 2017 | 14 | |
| 6 | 2015 | 13 | |
| 7 | 2014 | 11 | |
| 8 | 2012 | 8 | |
| 9 | Oral glucocorticoids have no impact on the efficacy or safety profile of rituximab in rheumatoid arthritis patients with inadequate response to TNF inhibitors (REFLEX study) | 2006 | 5 |
| 10 | 2010 | 1 | |
| 11 | 2021 | 0 |
About L. Burke
L. Burke is a scholar working on Molecular Biology, Rheumatology, Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 11 papers that have together received 376 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (3 papers), Rheumatoid Arthritis Research and Therapies (3 papers), Systemic Sclerosis and Related Diseases (2 papers), Genomics and Chromatin Dynamics (2 papers), Cancer Genomics and Diagnostics (1 paper), Immunotherapy and Immune Responses (1 paper), Cardiac, Anesthesia and Surgical Outcomes (1 paper) and Telomeres, Telomerase, and Senescence (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (152 citations), Rheumatology (102 citations), Dermatology (33 citations), Pulmonary and Respiratory Medicine (92 citations) and Immunology (46 citations). L. Burke has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Angelika Jahreis, Christopher P. Denton, Dinesh Khanna, Jacob M. van Laar, Jeffrey Siegel, Gerhard Fierlbeck, Gabriela Riemekasten, Ulf Müller‐Ladner, Janet Pope and Murray Baron. Their work appears in journals such as Annals of the Rheumatic Diseases, PLoS ONE, Arthritis Care & Research, Melanoma Research and Epigenetics.
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.