J. Rosas

2.8k citations
51 papers · 1.8k indexed · h-index 16

J. Rosas

51 papers receiving 1.7k citations

Peers

J. Rosas
Comparison fields: 5 of 76
  • Rheumatology 705
  • Physiology 935
  • Periodontics 156
  • Nephrology 162
  • Pathology and Forensic Medicine 276
Replace Øyvind Palm with:
Øyvind Palm Norway
R. Pérez-Álvarez Spain
Cándido Díaz‐Lagares Spain
Soledad Retamozo Spain
Achille Aouba France
Aleth Perdriger France
K.H. Ly France
Rosaria Talarico Italy
Paola Caramaschi Italy
C. G. M. Kallenberg Netherlands
J. Rosas relative to Øyvind Palm Norway Øyvind Palm's profile →
Citations per field
00.5×1.5×2.2×
Øyvind Palm · 1×
Citations per year

Countries citing papers authored by J. Rosas

Since Specialization
Citations

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

Fields of papers citing papers by J. Rosas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20231
2 20231
3 20228
4 202211
5 202044
6 201911
7 201911
8 201814
9 20185
10
Non-adherence to subcutaneous biological medication in patients with rheumatoid arthritis: a multicentre, non-interventional study.
201728
11 201515
12 20156
13 20136
14
Evaluation of Anti-Tumor Necrosis Factor Levels and Anti-Tumor Necrosis Factor Antibodies in Rheumatic Diseases Treated with Infliximab and Adalimumab; Preliminary Results From a Local Registry
20113
15 200998
16 2008374
17 2005117
18
Artropatía neuropática del hombro por siringomielia
20033
19
Raynaud's phenomenon in primary Sjögren's syndrome. Prevalence and clinical characteristics in a series of 320 patients.
200246
20 200295

About J. Rosas

J. Rosas is a scholar working on Rheumatology, Immunology, Genetics, Periodontics and Hematology, having authored 51 papers that have together received 1.8k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (26 papers), Systemic Lupus Erythematosus Research (13 papers), Salivary Gland Disorders and Functions (11 papers), Biosimilars and Bioanalytical Methods (10 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), Chronic Lymphocytic Leukemia Research (8 papers), Immunodeficiency and Autoimmune Disorders (7 papers) and Spondyloarthritis Studies and Treatments (6 papers). The work is most often cited by research in Rheumatology (705 citations), Physiology (935 citations), Periodontics (156 citations), Nephrology (162 citations) and Pathology and Forensic Medicine (276 citations). J. Rosas has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Manuel Ramos‐Casals, Jaime Calvo‐Alén, Josep Font, Lucio Pallarés, Mario García‐Carrasco, M Ingelmo, Ricard Cervera, Paloma Vela, Agustín Martínez and Eliseo Pascual. Their work appears in journals such as Annals of the Rheumatic Diseases, Medicine, Lara D. Veeken, Annals of Internal Medicine and Advances in Therapy.

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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