A Rivas
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- Virology top 10%
- HIV Research and Treatment
Papers in
- Immunology 12
- Immunotherapy and Immune Responses 10
- Immune Cell Function and Interaction 8
- T-cell and B-cell Immunology 5
- Galectins and Cancer Biology 1
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- Monoclonal and Polyclonal Antibodies Research 3
- Co-authors
- Edgar G. Engleman (10 shared papers)J Koide (4 shared papers)Michael L. Cleary (1 shared paper)Masaru Takamizawa (3 shared papers)S Takada (1 shared paper)Francesco Fagnoni (2 shared papers)Reiner Laus (3 shared papers)Claudia Benike (2 shared papers)
- Journals
- The Journal of Immunology (8 papers)Immunological Investigations (1 paper)Annals of the New York Academy of Sciences (1 paper)Palaios (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesJapanCanada
In The Last Decade
A Rivas
13 papers receiving 427 citations
Peers
Comparison fields: 5 of 54
- Immunology 355
- Virology 50
- Immunology and Allergy 22
- Radiology, Nuclear Medicine and Imaging 54
- Transplantation 6
Countries citing papers authored by A Rivas
This map shows the geographic impact of A 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 A Rivas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites A Rivas more than expected).
Fields of papers citing papers by A Rivas
This network shows the impact of papers produced by A 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 A Rivas. The network helps show where A Rivas may publish in the future.
Co-authors
The 25 scholars most cited alongside A Rivas, 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 | 1988 | 87 | |
| 2 | 1989 | 82 | |
| 3 | 1997 | 58 | |
| 4 | 1989 | 37 | |
| 5 | Role of B70/B7-2 in CD4+ T-cell immune responses induced by dendritic cells. | 1995 | 33 |
| 6 | 1995 | 30 | |
| 7 | 1995 | 26 | |
| 8 | 1995 | 24 | |
| 9 | 1990 | 22 | |
| 10 | 1990 | 21 | |
| 11 | 1997 | 9 | |
| 12 | 2024 | 2 | |
| 13 | 1986 | 1 |
About A Rivas
A Rivas is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Oncology, Paleontology and Virology, having authored 13 papers that have together received 432 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (10 papers), Immune Cell Function and Interaction (8 papers), T-cell and B-cell Immunology (5 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), CAR-T cell therapy research (2 papers), Cell Adhesion Molecules Research (1 paper), Geochemistry and Elemental Analysis (1 paper) and Galectins and Cancer Biology (1 paper). The work is most often cited by research in Immunology (355 citations), Virology (50 citations), Immunology and Allergy (22 citations), Radiology, Nuclear Medicine and Imaging (54 citations) and Transplantation (6 citations). A Rivas has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Edgar G. Engleman, J Koide, Michael L. Cleary, Masaru Takamizawa, S Takada, Francesco Fagnoni, Reiner Laus, Claudia Benike, Curtis Ruegg and J Kosek. Their work appears in journals such as The Journal of Immunology, Immunological Investigations, Annals of the New York Academy of Sciences, Palaios and Journal of Clinical Investigation.
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.