Philip J. Mease
- Rheumatology top 0.01%
- Spondyloarthritis Studies and Treatments 572
- Rheumatoid Arthritis Research and Therapies 400
- Systemic Lupus Erythematosus Research 30
- Hematology top 0.01%
- Autoimmune and Inflammatory Disorders Research 332
- Immunology top 0.02%
- Psoriasis: Treatment and Pathogenesis 476
- Psychiatry and Mental health top 0.05%
- Fibromyalgia and Chronic Fatigue Syndrome Research 89
- Pharmacology top 0.02%
- Musculoskeletal pain and rehabilitation 58
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- Health Systems, Economic Evaluations, Quality of Life 34
- Co-authors
- Dafna D. GladmanDaniel J. ClauwPhilip HelliwellI. Jon RussellDésirée van der HeijdeDon L. GoldenbergMary‐Ann FitzcharlesAnthony S. Russell
- Cited by
- RheumatologyHematologyImmunology
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
Philip J. Mease
774 papers receiving 38.0k citations
Hit Papers
Peers
Comparison fields: 5 of 166
- Rheumatology 23.4k
- Hematology 12.5k
- Immunology 19.7k
- Psychiatry and Mental health 9.0k
- Pharmacology 6.5k
Countries citing papers authored by Philip J. Mease
This map shows the geographic impact of Philip J. Mease'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 Philip J. Mease with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip J. Mease more than expected).
Fields of papers citing papers by Philip J. Mease
This network shows the impact of papers produced by Philip J. Mease. 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 Philip J. Mease. The network helps show where Philip J. Mease may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Philip J. Mease, 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 | 1 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 7 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 2 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 2 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 9 | |
| 12 | 2022 | 18 | |
| 13 | 2022 | 4 | |
| 14 | 2021 | 5 | |
| 15 | 2019 | 6 | |
| 16 | 2019 | 45 | |
| 17 | 2018 | 30 | |
| 18 | 2017 | 19 | |
| 19 | 2013 | 8 | |
| 20 | Validation of Prognostic Biomarkers for RA: Testing of 14-3-3 Eta According to the Omeract Soluble Biomarker Criteria | 2012 | 2 |
About Philip J. Mease
Philip J. Mease is a scholar working on Rheumatology, Hematology and Immunology, having authored 800 papers that have together received 39.2k indexed citations. Recurring topics across this work include Spondyloarthritis Studies and Treatments (572 papers), Psoriasis: Treatment and Pathogenesis (476 papers), Rheumatoid Arthritis Research and Therapies (400 papers), Autoimmune and Inflammatory Disorders Research (332 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (89 papers), Musculoskeletal pain and rehabilitation (58 papers), Health Systems, Economic Evaluations, Quality of Life (34 papers) and Systemic Lupus Erythematosus Research (30 papers). The work is most often cited by research in Rheumatology (23.4k citations), Hematology (12.5k citations) and Immunology (19.7k citations). Philip J. Mease has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Dafna D. Gladman, Daniel J. Clauw, Philip Helliwell, I. Jon Russell, Désirée van der Heijde, Don L. Goldenberg, Mary‐Ann Fitzcharles, Anthony S. Russell, William J. Taylor and Christopher T. Ritchlin. Their work appears in journals such as New England Journal of Medicine, The Lancet and Nature 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.