Jose L. Rivas
- Rheumatology top 1%
- Hematology top 5%
- Immunology top 10%
- Genetics top 10%
- Oncology top 10%
- Co-authors
- Cunshan WangCarol A. ConnellSteven R. YtterbergDeepak L. BhattGary G. KochSujatha MenonAndrea ShapiroRebecca Germino
- Topics
- Rheumatoid Arthritis Research and Therapies (20 papers)Chronic Lymphocytic Leukemia Research (8 papers)Autoimmune and Inflammatory Disorders Research (8 papers)
- Cited by
- RheumatologyHematologyGenetics
- Partner nations
- SpainUnited StatesFrance
In The Last Decade
Jose L. Rivas
23 papers receiving 1.4k citations
Hit Papers
Peers
Comparison fields: 5 of 79
- Rheumatology 852
- Hematology 308
- Immunology 306
- Genetics 240
- Oncology 233
Countries citing papers authored by Jose L. Rivas
This map shows the geographic impact of Jose L. Rivas'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 Jose L. Rivas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jose L. Rivas more than expected).
Fields of papers citing papers by Jose L. Rivas
This network shows the impact of papers produced by Jose L. Rivas. 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 Jose L. Rivas. The network helps show where Jose L. Rivas may publish in the future.
Co-authorship network of co-authors of Jose L. Rivas
This figure shows the co-authorship network connecting the top 25 collaborators of Jose L. Rivas. A scholar is included among the top collaborators of Jose L. Rivas 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 Jose L. Rivas. Jose L. Rivas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 72 | |
| 6 | 4 | |
| 7 | Risk of major adverse cardiovascular events with tofacitinib versus tumour necrosis factor inhibitors in patients with rheumatoid arthritis with or without a history of atherosclerotic cardiovascular disease: a post hoc analysis from ORAL Surveillancebreakdown → | 123 |
| 8 | 0 | |
| 9 | 105 | |
| 10 | 12 | |
| 11 | 1 | |
| 12 | 11 | |
| 13 | 29 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 45 | |
| 17 | 9 | |
| 18 | 24 | |
| 19 | 1 | |
| 20 | 10 |
About Jose L. Rivas
Jose L. Rivas is a scholar working on Rheumatology, Hematology and Genetics, having authored 27 papers that have together received 1.4k indexed citations. Recurring topics across this work include Rheumatoid Arthritis Research and Therapies (20 papers), Chronic Lymphocytic Leukemia Research (8 papers) and Autoimmune and Inflammatory Disorders Research (8 papers). The work is most often cited by research in Rheumatology (852 citations), Hematology (308 citations) and Genetics (206 citations). Jose L. Rivas has collaborated with scholars based in Spain, United States and France. Frequent co-authors include Cunshan Wang, Carol A. Connell, Steven R. Ytterberg, Deepak L. Bhatt, Gary G. Koch, Sujatha Menon, Andrea Shapiro, Rebecca Germino, Ted R. Mikuls and R. Fleischmann. Their work appears in journals such as New England Journal of Medicine, Circulation and Diabetologia.
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.