Gloria de la Red
- Rheumatology top 2%
- Hepatology top 5%
- Epidemiology
- Physiology
- Surgery
- Co-authors
- Ricard CerveraJosep FontManuel Ramos‐CasalsMario García‐CarrascoM IngelmoOlga TrejoSònia JiménezJordi Yagüe
- Topics
- Systemic Lupus Erythematosus Research (8 papers)Salivary Gland Disorders and Functions (5 papers)Diabetes and associated disorders (4 papers)
- Cited by
- HepatologyRheumatologyGenetics
In The Last Decade
Gloria de la Red
16 papers receiving 840 citations
Peers
Comparison fields: 5 of 70
- Rheumatology 398
- Hepatology 262
- Epidemiology 188
- Physiology 165
- Surgery 158
Countries citing papers authored by Gloria de la Red
This map shows the geographic impact of Gloria de la Red'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 Gloria de la Red with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gloria de la Red more than expected).
Fields of papers citing papers by Gloria de la Red
This network shows the impact of papers produced by Gloria de la Red. 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 Gloria de la Red. The network helps show where Gloria de la Red may publish in the future.
Co-authorship network of co-authors of Gloria de la Red
This figure shows the co-authorship network connecting the top 25 collaborators of Gloria de la Red. A scholar is included among the top collaborators of Gloria de la Red based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Gloria de la Red. Gloria de la Red is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 33 | |
| 3 | 5 | |
| 4 | 16 | |
| 5 | 44 | |
| 6 | Triple association between hepatitis C virus infection, systemic autoimmune diseases, and B cell lymphoma. | 40 |
| 7 | 8 | |
| 8 | 128 | |
| 9 | Low values of creatine kinase in systemic lupus erythematosus. Clinical significance in 300 patients. | 3 |
| 10 | Pure sensory neuropathy in primary Sjögren's syndrome. Longterm prospective followup and review of the literature. | 49 |
| 11 | Raynaud's phenomenon in primary Sjögren's syndrome. Prevalence and clinical characteristics in a series of 320 patients. | 46 |
| 12 | 37 | |
| 13 | 198 | |
| 14 | 117 | |
| 15 | 54 | |
| 16 | 0 | |
| 17 | 83 |
About Gloria de la Red
Gloria de la Red is a scholar working on Rheumatology, Hepatology and Physiology, having authored 17 papers that have together received 874 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (8 papers), Salivary Gland Disorders and Functions (5 papers) and Diabetes and associated disorders (4 papers). The work is most often cited by research in Hepatology (262 citations), Rheumatology (398 citations) and Genetics (84 citations). Gloria de la Red has collaborated with scholars based in Spain, Mexico and Pakistan. Frequent co-authors include Ricard Cervera, Josep Font, Manuel Ramos‐Casals, Mario García‐Carrasco, M Ingelmo, Olga Trejo, Sònia Jiménez, Jordi Yagüe, Víctor Gil and José M. Sánchez–Tapias. Their work appears in journals such as Clinical Infectious Diseases, Annals of the Rheumatic Diseases and 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.